decomposing promotional effects with a dynamic structural model of flexible consumption abstract in this article the authors offer a methodology to decompose the effects of price promotions into brand switching stockpiling and change in consumption by explicitly allowing for consumer heterogeneity in brand preferences and consumption needs they develop a dynamic structural model of a household that decides when what and how much to buy as well as how much to consume to maximize its expected utility over an infinite horizon by making certain simplifying assumptions the authors reduce the dimensionality of the problem they estimate the proposed model using household purchase data in the canned tuna and paper towels categories the results from the model offer insights into the decomposition of promotional effects into its components this could help managers make inferences about which brand s sales are more responsive to stockpiling or increase in consumption expansion and how temporary price cuts affect future sales contrary to previous literature the authors find that brand swi

the decomposition of promotional response an empirical generalization price promotions are used extensively in marketing for one simple reason consumers respond the sales increase for a brand on promotion could be due to consumers accelerating their purchases i e buying earlier than usual and or buying more than usual and or consumers switching their choice from other brands purchase acceleration and brand switching relate to the primary demand and secondary demand effects of a promotion gupta 1988 captures these effects in a single model and decomposes a brand s total price elasticity into these components he reports for the coffee product category that the main impact of a price promotion is on brand choice 84 and that there is a smaller impact on purchase incidence 14 and stockpiling 2 in other words the majority of the effect of a promotion is at the secondary level 84 and there is a relatively small primary demand effect 16 this paper reports the decomposition of total price elasticity for 173 brands across 13 different product categories on average we find that 25 of the elasticity is due to primary demand expansion i e purchase acceleration and 75 to secondary demand effects or brand switching thus while gupta s finding that the majority of promotional response stems from brand switching is supported the average magnitude of the effect appears to be smaller than first thought more important there is ample evidence that promotions have a significant primary demand effect the relative emphasis on purchase acceleration and brand switching varies systematically across categories and the second goal of the paper is to explain this variation as a function of exogeneous covariates in doing this we recognize that promotional response is the consumer s reaction to a price promotion and therefore develop a framework for understanding variability in promotional response that is based on the consumer s perspective of the benefits from a price promotion these benefits are posited to be a function of i category specific factors ii brand specific factors and iii consumer characteristics the framework is formalized as a generalized least squares meta analysis in which the brand s price elasticity is the dependent variable several interesting results emerge from this analysis category specific factors brand specific factors and consumer demographics explain a significant amount of the variance in promotional response for a brand at both the primary and secondary demand levels category specific factors have greater influence on variability in promotional response and its decomposition than do brand specific factors there are several instances where exogenous variables do not affect total elasticities yet significantly affect individual components of total elasticity in fact the lack of a significant relationship between the variables and total elasticity is often due to offsetting effects within two or more of the three behavioral components of elasticity this is particularly true for brand specific factors which typically have no effect on total elasticity yet have important effects on the individual behaviors there is some evidence to suggest that not all promotion related increases in primary demand are due to forward buying in some cases promotions appear to increase consumption we use these results to illustrate how category and brand specific factors work to drive primary and secondary demand elasticities in different directions in short this paper offers an empirical generalization of a key finding on promotional response how elasticities decompose across brand choice purchase incidence and stockpiling and new insights into factors that explain variance in promotional response these findings are likely to be of interest to researchers who are concerned with theory development and the generalizability of marketing phenomena and to managers who plan promotion campaigns

asymmetric promotion effects and brand positioning several studies have shown that promotions of national brands yield more effect than those of store brands e g allenby and rossi 1991 blattberg and wisniewski 1989 however the evolution of price quality data available from consumer reports over the last 15 years seems to reveal a reduction of the quality gap between store brands and national brands while price differences remain substantial simultaneously the share of private label brands has increased progressive grocer 1994 in this context we study whether we can maintain a view of the world where national brands may easily attract consumers from store brands through promotions whereas store brands are relatively ineffective in attracting consumers from national brands by such means we analyze consumer reactions to price discounts in a parsimonious preference model featuring loss aversion and reference dependence along dimensions of price and quality hardie johnson and fader 1993 tversky and kahneman 1991 the key result of our analysis is that given any two brands there is an asymmetric promotion effect in favor of the higher quality higher price brands if and only if the quality gap between the brands is sufficiently large in comparison with the price gap thus the direction of promotion asymmetry is not unconditional it depends uniquely on the value of the ratio of quality and price differences compared to a category specific criterion which we call if the ratio of quality and price differences is larger than this criterion the usual asymmetry prevails if such is not the case the lower quality lower price brands promote more effectively more precisely our model predicts that cross promotion effects depend on two components of brand positioning in the price quality quadrant first we define a variable termed positioning advantage that indicates whether relative to the standards achieved by another brand a given brand is underpriced positive advantage or overpriced negative advantage promotion effectiveness is increasing in this variable second cross promotion effects between two brands depend on their distance in the price quality quadrant this variable impacts promotion effectiveness negatively and symmetrically for any pair of brands positioning advantage and brand distance are orthogonal components of brand positioning irrespective of the degree of correlation between available price and quality levels in the market empirically we investigate the role of brand positioning in explaining cross promotion effects using panel data from the chilled orange juice and peanut butter categories we compute the independent positioning variables positioning advantage and brand distance from readily available data on price and quality positioning after obtaining our estimates of we next measure promotion effectiveness by estimating choice share changes in response to a price discount using a choice model that does not contain any information about quality price ratios finally we test the relation between the two positioning variables and the promotion effectiveness measures the data reveal that in the orange juice category lower quality lower price brands generally promote more effectively than higher quality higher price brands in the peanut butter data the opposite asymmetry holds in both cases inter brand promotion patterns are well explained by the positioning variables an attractive feature of our model is that in addition to the direction of promotion asymmetries it also explains the extent of those asymmetries a further interesting aspect of this approach is that we go beyond a categorization of brands into price tiers for instance lower tier brands in our data may promote more effectively than one national brand but less effectively than another consistent with our theoretical predictions the data presented here seem to confirm that such cases occur because the lower tier brand offers a favorable trade off of price and quality differences compared with one national brand and a less favorable trade off compared with the other the content of this paper is potentially relevant for brand managers or retailers concerned with predicting the impact of their promotions the paper is of particular interest to marketing scientists who study the performance of store brands versus national brands and may also appeal to those who wish to explore the marketing implications of behavioral decision theory finally our investigation does not reject blattberg and wisniewski s 1989 finding shared by allenby and rossi 1991 and hardie johnson and fader 1993 that national brands have a principle advantage in promotion effectiveness rather it formalizes when this principle advantage is overruled by positioning disadvantages of such brands

please or squeeze brand performance implications of constrained and unconstrained multi item promotions existing research on price promotions typically investigates the effects of single product promotions however brand managers often promote multiple items simultaneously to bolster the performance of a complete brand line this paper investigates the brand performance implications of such multi item promotions we distinguish between two types of multi item promotions traditional unconstrained multi item promotions that grant a discount irrespective of the size or composition of the purchase set and constrained multi item promotions that require consumers to purchase specific quantities self bundling or even predetermined combinations fixed bundling of promoted items using a normative consumer decision model the authors analyze the relative effectiveness of these promotions in terms of unit sales and revenue impact and show that promotion performance is moderated by consumers preference for variety the authors find that unconstrained multi item promotions outperform single item promotions especially in markets without variety seeking in markets with variety seeking unconstrained multi item promotions are not as effective in stealing extra sales from competition because consumers prefer to spread their purchases across all items including competitive ones however in those markets self bundling promotions are particularly effective because they force consumers to adopt larger amounts of the promoted items at the expense of competitors finally in neither type of market does fixed bundling substantially improve promotion performance

manufacturers channel structures when selling asymmetric competing products abstract manufacturers often face the fundamental channel structure decision namely whether to sell their products directly to consumers or indirectly through an intermediary to address this issue extensive research has analyzed equilibrium channel structures for competing equally substitutable products however in reality many competing products are asymmetric in both substitutability and brand equity in this paper we study how these two asymmetric characteristics affect the equilibrium channel structures of manufacturers selling competing products following some recent studies we adopt a refined consumer demand model derived from the representative consumer utility function based on this model we examine three possible types of competition between the two supply chains cournot quantity competition bertrand price competition and bertrand cournot competition we find that brand equity substitutability as well as the type of competition all play important roles in determining the equilibrium channel structures specifically in equilibrium a manufacturer always sells directly when its rival competes on quantity moreover when there is sufficient asymmetry in either brand equity or substitutability manufacturers tend to sell directly our results demonstrate that the benefits of selling indirectly shown in previous studies depend critically on the assumptions of equally substitutable products and bertrand competition

endogeneity in brand choice models applications of random utility models to scanner data have been widely presented in marketing for the last 20 years one particular problem with these applications is that they have ignored possible correlations between the independent variables in the deterministic component of utility price promotion etc and the stochastic component or error term in fact marketing mix variables such as price not only affect brand purchasing probabilities but are themselves endogenously set by marketing managers this work tests whether these endogeneity problems are important enough to warrant consideration when estimating random utility models with scanner panel data our results show that not accounting for endogeneity may result in a substantial bias in the parameter estimates

dynamic conversion behavior at e commerce sites this paper develops a model of conversion behavior i e converting store visits into purchases that predicts each customer s probability of purchasing based on an observed history of visits and purchases we offer an individual level probability model that allows for different forms of customer heterogeneity in a very flexible manner specifically we decompose an individual s conversion behavior into two components one for accumulating visit effects and another for purchasing threshold effects each component is allowed to vary across households as well as over time visit effects capture the notion that store visits can play different roles in the purchasing process for example some visits are motivated by planned purchases while others are associated with hedonic browsing akin to window shopping our model is able to accommodate these and several other types of visit purchase relationships in a logical parsimonious manner thepurchasing threshold captures the psychological resistance to online purchasing that may grow or shrink as a customer gains more experience with the purchasing process at a given website we test different versions of the model that vary in the complexity of these two key components and also compare our general framework with popular alternatives such as logistic regression we find that the proposed model offers excellent statistical properties including its performance in a holdout validation sample and also provides useful managerial diagnostics about the patterns underlying online buyer behavior

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

optimal inventory policies when ordering prices are random we consider a single item inventory model with deterministic demands at the beginning of each period a random ordering price is received according to a known distribution function a decision must be made as to how much if any of the item to order in each period so as to minimize total expected costs while satisfying all demands we show that in each period a sequence of critical price levels determines the optimal ordering strategy so that it is optimal to satisfy the demands of the next n periods if and only if the random price falls between the nth and the n 1st levels we derive recursive expressions that describe the critical price numbers and demonstrate the relationship of these expressions to minimal expected cost we study finite horizon as well as infinite horizon models and show that the critical number strategy is also average cost optimal

methodological issues in asset pricing random walk or chaotic dynamics abstract we analyze the theoretical foundations of the efficient market hypothesis by stressing the efficient use of information and its effect upon price volatility the random walk hypothesis assumes that price volatility is exogenous and unexplained randomness means that a knowledge of the past cannot help to predict the future we accept the view that randomness appears because information is incomplete the larger the subset of information available and known the less emphasis one must place upon the generic term randomness we construct a general and well accepted intertemporal price determination model and show that price volatility reflects the output of a higher order dynamic system with an underlying stochastic foundation our analysis is used to explain the learning process and the efficient use of information in our archetype model we estimate a general unrestricted system for financial and agricultural markets to see which specifications we can reject what emerges is that a system very close to our archetype model is consistent with the evidence we obtain an equation for price volatility which looks a lot like the garch equation the price variability is a serially correlated variable which is affected by the bayesian error and the bayesian error is a serially correlated variable which is affected by the noisiness of the system in this manner we have explained some of the determinants of what has been called the randomness of price changes

manufacturer allowances and retailer pass through rates in a competitive environment a commonly held belief has grocery and mass merchandise retailers gaining power relative to the upstream consumer package goods manufacturers one of the major justifications for this belief is that manufacturers are now giving retailers more side payments such as trade allowances slotting allowances etc however a number of researchers have shown that these concessions have not translated into increased profit for the retailer relative to the manufacturer this paper explores via an analytic model why one might see retailers getting concessions from the manufacturer without being able to translate them into high profits we do this by representing the interaction between the channel members as a one period profit maximizing game where manufacturers decide on how large a side payment i e a concession to give to each retailer and retailers decide on how much of this side payment to use to promote the manufacturer s product at the heart of our model is a demand function for each product offering i e a specific brand sold by a specific retailer this demand function is linear in own and other s prices but based on empirical evidence is assumed to be nonlinear in the effects of merchandising activities e g short term price discounts better shelf space advertising etc specifically merchandising effects are modeled with a square root function that also acknowledges most short term promotional effects result in brand or store switching versus increase category volume the model is composed of six parameters these are the inherent popularity of the brand at a particular outlet own price sensitivity cross but within the store price sensitivity customer s sensitivity to within store promotion activities customer s sensitivity to between store promotional activities and the degree to which promotional activities yield incremental product category sales we use our underlying demand formulation to find the equilibrium solution to the full information stackelberg leader game for different store and brand loyalty environments as captured by our six parameters these parameters are chosen based on empirical evidence to span possible market conditions that each channel member might have our findings and modeling efforts should be of interest to analytic channel modelers and scholars interested in the mass merchandising and grocery store industries for a theoretical point of view we build upon the case 4 model of lee and staelin 1997 to allow for promotional activities from a substantive point of view we show that manufacturers will freely give retailers side payments even though they know these retailers will pocket a substantial portion of this concession moreover we identify conditions within our model that lead to larger allowances lower pass through rates and lower retail profits outcomes that are compatible with recent industry trends in addition we highlight the difference in effect on profits prices etc of changes in consumers sensitivity to inter store differences in storewide merchandising activities one of the more counter intuitive results of these analyses is that it is in the manufacturer s best interest to help retailers increase their spatial monopoly by decreasing consumers tendency to cross store shop because of merchandising activities

production economics and optimal stock size in a north atlantic fishery this paper contains an analysis of a fishery production function and an empirical analysis of the north sea herring fishery an intertemporal profit function is defined by introducing stock dynamics and the concept of a sole resource manager some new results with respect to the relationship between the optimal stock level and production technology are derived estimates of the optimal stock level for herring are also presented

asymmetric and neighborhood cross price effects some empirical generalizations this paper provides some empirical generalizations regarding how the relative prices of competing brands affect the cross price effects among them particular focus is on the asymmetric price effect and the neighborhood price effect the asymmetric price effect states that a price promotion by a higher priced brand affects the market share of a lower priced brand more so than the reverse the neighborhood price effect states that brands that are closer to each other in price have larger cross price effects than brands that are priced farther apart the main objective of this paper is to test if these two effects are generalizable across product categories and to assess which of these two effects is stronger while the neighborhood price effect has not been rigorously tested in past research the asymmetric price effect has been validated by several researchers however these tests of asymmetric price effect have predominantly used elasticity as the measure of cross price effect the cross price elasticity measures the percentage change in market share or sales of a brand for 1 change in price of a competing brand we show that asymmetries in cross price elasticities tend to favor the higher priced brand simply because of scaling effects due to considering percentage changes furthermore several researchers have used logit models to infer asymmetric patterns we also show that inferring asymmetries from conventional logit models is incorrect to account for potential scaling effects we consider the absolute cross price effect defined as the change in market share percentage points of a target brand when a competing brand s price changes by one percent of the product category price the advantage of this measure is that it is dimensionless hence comparable across categories and it avoids scaling effects we show that in the logit model with arbitrary heterogeneity in brand preferences and price sensitivities the absolute cross price effect is symmetric we develop an econometric model for simultaneously estimating the asymmetric and neighborhood price effects and assess their relative strengths we also estimate two alternate models that address the following questions i if i were managing the ith highest priced brand which brand do i impact the most by discounting and which brand hurts me the most through price discounts ii who hurts whom in national brand vs store brand competition based on a meta analysis of 1 060 cross price effects on 280 brands from 19 different grocery product categories we provide the following empirical generalizations 1 the asymmetric price effect holds with cross price elasticities but tends to disappear with absolute cross price effects 2 the neighborhood price effect holds with both cross price elasticities and absolute cross price effects and is significantly stronger than the asymmetric price effect on both measures of cross price effects 3 a brand is affected the most by discounts of its immediately higher priced brand followed closely by discounts of its immediately lower priced brand 4 national brands impact store brands more so than the reverse when the cross effect is measured in elasticities but the asymmetric effect does not hold with absolute effects store brands hurt and are in turn hurt the most by the lower priced national brands that are adjacent in price to the store brands 5 cross price effects are greater when there are fewer competing brands in the product category and among brands in nonfood household products than among brands in food products the implications of these findings are discussed

information marketing and pricing in the u s antiulcer drug market introduced into the united states in 1977 tagamet was the pioneer product in the class of antiulcer drugs known as h2antagonists by promoting ulcer healing through inhibiting acid secretion tagamet was able to heal ulcers and treat pre ulcer conditions pharmacologically on an outpatient basis thereby substituting for more costly hospital admissions and surgeries in 1983 another h2 antagonist called zantac entered and by early 1987 u s zantac sales surpassed those of the pioneering tagamet today there are four h2 antagonists sold in the united states tagamet zantac pepcid and axid zantac is now the world s largest selling prescription drug having estimated worldwide sales in 1994 of about 4 billion each of the four h2 antagonists is among the top 100 in world drug sales although tagamet lost u s patent protection on may 17 1994 in this paper we examine empirically the role of information in facilitating and explaining growth of the overall antiulcer drug market as well as in shaping the changing market shares of the four patented products the dissemination of information is due largely to the use of marketing channels such as visits by manufacturers representatives to physicians called detailing advertising in medical journals and most recently by direct to consumer advertising we examine these and also explore pricing policies product differentiation and orderof entry effects

is 75 of the sales promotion bump due to brand switching no only 33 is abstract several researchers have decomposed sales promotion elasticities based on household scanner panel data a key result is that the majority of the sales promotion elasticity approximately 74 on average is attributed to secondary demand effects brand switching and the remainder is attributed to primary demand effects timing acceleration and quantity increases the authors demonstrate that this result does not imply that if a brand gains 100 units in sales during a promotion the other brands in the category lose 74 units the authors offer a complementary decomposition measure based on unit sales the measure shows the ratio of the current cross brand unit sales loss to the current own brand unit sales gain during promotion the authors report empirical results for this measure they also derive analytical expressions that transform the elasticity decomposition into a decomposition of unit sales effects these expressions show the nature of the difference between the two decompositions to ga

a discrete continuous model for multicategory purchase behavior of households abstract this article provides an integrated utility maximizing framework for households multicategory purchase incidence brand choice and purchase quantity decisions on a store visit households maximize utility across several categories subject to an overall budget constraint then they choose to purchase a subset of categories in which they select a specific brand and an associated quantity level under their assumptions for the stochastic terms in the specification the authors obtain closed form expressions for the household demands the marginal and joint purchase incidence and the brand choice probabilities along with conditional purchase quantities the authors show that the modeling framework accounts for both coincidence and complementarity substitutability across categories in addition it accounts for unobserved heterogeneity in the estimation thus the three key features of multicategory models proposed in the literature are all reflected in the framework the authors provide an empi

the cross price effect on willingness to pay estimates in open ended contingent valuation abstract previous literature has shown that potential buyers use a reference price or product to form their opinion about the value of a new product therefore the pricing decision is an interactive process we investigate the two generalizations of the cross price effect the neighborhood price effect and the asymmetric price effect on consumer willingness to pay wtp for multiple similar products in an open ended contingent valuation context results show that the cross price effect on wtp is prominent with the neighborhood price effect holding in contingent valuation no conclusions are reached about the asymmetric price effect

modeling loss aversion and reference dependence effects on brand choice based upon a recently developed multiattribute generalization of prospect theory s value function tversky and kahneman 1991 we argue that consumer choice is influenced by the position of brands relative to multiattribute reference points and that consumers weigh losses from a reference point more than equivalent sized gains loss aversion we sketch implications of this model for understanding brand choice we develop a multinomial logit formulation of a reference dependent choice model calibrating it using scanner data in addition to providing better fit in both estimation and forecast periods than a standard multinomial logit model the model s coefficients demonstrate significant loss aversion as hypothesized we also discuss the implications of a reference dependent view of consumer choice for modeling brand choice demonstrate that loss aversion can account for asymmetric responses to changes in product characteristics and examine other implications for competitive strategy

optimal feedback controls comparative evaluation of the cod fisheries in denmark iceland and norway the economic efficiencies of the danish icelandic and norwegian cod fisheries are examined for this purpose nonlinear aggregate models of these fisheries are constructed comparing the calculated optimal harvest and biomass quantities with the actual fisheries provides a measure of the degree of efficiency in these fisheries the comparisons confirm that the cod harvesting policies of these countries have been hugely inefficient in the past it appears that inefficiency has been increasing over the last three to four decades even after tac regulations replaced open access indicating that the management policies adopted by all three countries have failed to cure overfishing the primary purpose of this article is to compare the relative efficiency of past fish harvesting strategies in iceland norway and denmark by the term harvesting policy we mean the harvesting volume each year so efficiency here merely refers to appropriateness of the annual harvesting volumes it does not in particular refer to the relative efficiency of the fishing industries in the three countries we know that maximizing net revenue has not been an objective in any of these fisheries experience shows that the management regimes that were in place for most of the period were highly inefficient and should be expected to produce poor economic results the mere fact that these stocks feature biomass levels far below the maximum sustainable yield level strongly suggests inefficient policies iceland norway and denmark are all major fishing nations harvesting a number of fish species we have chosen to concentrate on cod fishing as this is the single most important fishragnar arnason is professor faculty of economics and business

consumer demand for fair trade evidence from a multistore field experiment abstract we provide new evidence on consumer demand for ethical products from experiments conducted in a u s grocery store chain we find that sales of the two most popular coffees rose by almost 10 when they carried a fair trade label as compared to a generic placebo label demand for the higher priced coffee remained steady when its price was raised by 8 but demand for the lower priced coffee was elastic a 9 price increase led to a 30 decline in sales while consumers attach value to ethical sourcing there is significant heterogeneity in willingness to pay for it

property rights in a fishery regulatory change and firm performance a new method is introduced and applied to the british columbia halibut fishery to analyze changes in productivity of firms harvesting a natural capital stock the index number technique decomposes the contributions of output prices variable input prices fixed inputs and productivity to firm profits adjusted for changes in the natural capital stock an application of the method is given using micro level data from a common pool resource the indexes provide a ready made comparison of all firms to the most profitable firm per unit of resource stock benchmarking with the decompositions also allows firms and regulators to improve overall industry performance by allowing them to analyze what components are contributing most to relative economic profits

embedded premium promotion why it works and how to make it more effective in this paper we define an embedded premium ep as an enhancement that involves a social cause added on to a product or service we characterize ep as a sales promotion strategy and juxtapose it with traditional approaches such as discounts and rebates across three experiments using a nationwide internet panel and employing stated measures and model based inference we find that at low denominations ep is more effective than an equivalent price discount we describe how an ep s social association may influence consumer choice quite differently than price promotions and contrary to the asymmetric price promotion effect documented in the promotions literature we find that ep benefits an unknown brand more than a known brand our hierarchical bayes approach uncovers heterogeneity in ep effectiveness that can be explained by affinity toward the focal charity personal motivations and demographic markers an identifiable segment of individuals prefer the other over self suggesting possible ep optimization and segmentation strategies two such strategies customization and coverage are empirically tested and the former is shown to be very effective our findings have broad implications for brand managers with regard to resource allocation and ep program return on investment roi as well as important social welfare implications

intertemporal pricing and consumer stockpiling we study a dynamic pricing problem for a class of products with stable consumption patterns e g household items staple foods consumers may stock up the product at current prices for future consumption but they incur inventory holding costs we model this situation as a dynamic game over an infinite time horizon in each period the seller sets a price and each consumer chooses how many units to buy we develop a solution methodology based on rational expectations by endowing each player with beliefs we decouple the dynamic game into individual dynamic programs for each player we solve for the rational expectations equilibrium where all players make optimal dynamic decisions given correct beliefs about others behavior in equilibrium the seller may either charge a constant fixed price or offer periodic price promotions at predictable time intervals we show that promotions are useful when frequent shoppers are willing to pay more for the product than are occasional shoppers we also develop several model extensions to study the impact of consumer stockpiling on the seller s inventory production and rationing strategies

the rational effect of price promotions on sales and consumption we explore the rational effect of price variation on sales and consumption in markets where consumers are uncertain about the future price of goods we first derive an optimal ordering policy which expresses the amount a consumer should purchase and consume in a given period as a function of the observed price of the good the distribution of future prices and the nature of his or her inventory this policy extends previous normative models of inventory control such as those by golabi 1985 and kalymon 1970 to the case where the amount to consume in a given period is an explicit decision variable and prices follow a first order stochastic process we then use this model to explore how changes in the long run frequency and temporal correlations of price promotions should normatively affect the contemporaneous relationship between purchase consumption and price among the predictions which follow from the model are that consumption should rationally increase with the size of existing inventories the short term sensitivity of sales to prices should be greater than that of consumption to price and this discrepancy increases with decreases in the temporal correlation of price deals and the long term relative frequency of price deals

productivity across industries and countries time series theory and evidence the authors examine whether convergence in aggregate productivity is also occurring at the industry level in fourteen oecd countries from 1970 to 1987 using both cross section and time series methods they find convergence in some sectors such as services however surprisingly the authors find that convergence does not hold for the manufacturing sector decomposing aggregate convergence into industry productivity gains and changing sectoral shares of output they find the service sector to be responsible for the bulk of cross country convergence to the united states the authors develop a new result on the asymptotic normality of panel unit root estimators to formally test within sector convergence copyright 1996 by mit press

productivity change under an individual transferable quota management system this is a scanned version of a published article the author 2012 published by oxford university press on behalf of the agricultural and applied economics association the original can be found at http www aaea org publications ajae to the best of our knowledge one or more authors of this paper were federal employees when contributing to this work

consumers price sensitivities across complementary categories in this paper we examine the pattern of correlation among consumer price sensitivities for customer purchase incidence decisions across complementary product categories we use a hierarchical bayesian multivariate probit model to uncover this pattern we estimated this model using purchase incidence data for six categories involving three pairs of complementary products our results show a new and interesting pattern of correlation among price parameters of complementary products for example we find that the correlation of own price sensitivities of complementary products is negative these results are consistent across the three complementary pairs of products we also investigate the reason for this counterintuitive result finally we present some managerial implications of our model we show how our model can be used for cross category targeting decisions by retailers we find that compared to nontargeted discounting the average profitability gain from customized discounting across the three category pairs is only 1 29 when complementarity is ignored but this gain improves to 8 26 when full complementarity is taken into account we also investigate whether ignoring the complex pattern of correlation has implications for managerial actions regarding targeting and optimal discounting we find that retailers can make misleading inferences about the impact of targeted discounts when they ignore cross category effects in modeling

a multicategory model of consumers purchase incidence quantity and brand choice decisions methodological issues and implications on promotional decisions abstract the authors propose a multicategory model of consumers purchase incidence quantity and brand choice decisions the model specification allows for cross category promotion effects in both components of the primary demand incidence and quantity decisions and uses a flexible functional form of consumer s utility to accurately measure those cross category effects to demonstrate the importance of the methodology the authors investigate two issues of relevance to retailers namely how retailers should 1 allocate promotional expenditures across brands in a category and 2 coordinate timing of promotions of brands across categories the authors estimate the proposed model using consumers purchases in pasta sauce and pasta categories the results reveal that using restrictive functional forms of utilities or ignoring cross category effects in incidence and quantity decisions leads to incorrect assessments on relative allocation of promotional expenditures across brands furthermore retailers

the price elasticity of selective demand a meta analysis of econometric models of sales the author describes a meta analysis of econometric studies that estimated the elasticity of selective sales or market share to price the literature review yielded 367 suitable price elasticities

productivity measurement in common property resource industries an application to the pacific coast trawl fishery this article measures total factor productivity in industries that exploit resources held in common particular attention is paid to the valuation and specification of in situ commonproperty resources in a neoclassical production technology catchability of the resource and variations in economic capacity utilization an empirical analysis of the open access pacific coast trawl fishing industry demonstrates that disentangling the productivity residual from changes in resource abundance its catchability and variations in capacity utilization hones the productivity residual to finer precision lowering mean productivity growth by about hak removing biological noise from highly variable resources is also important the results are related to aprogram limiting the number of vessels and can contribute to sustainable resource management whenever resources are held in common

the temporal and spatial dimensions of price search insights from matching household survey and purchase data abstract price promotions are pervasive in grocery markets a household can respond to price promotions by effectively cherry picking through 1 spatial price search across stores and 2 temporal price search across time however extant research has analyzed these two dimensions of price search only separately and therefore underestimates both the consumer response to price promotions and the impact of promotions on retail profit in this article the authors introduce an integrated analysis of spatial and temporal price search they seek answers to three questions first what are the predictors of household decisions to perform either spatial or temporal price search second how effective are the temporal spatial and spatiotemporal price search strategies in obtaining lower prices and third what is the impact of alternative price search strategies on retailer profit the authors use a unique data collection approach that combines household surveys with observed purchase data to address these que

growth accounting in a fishery abstract since 1950 the real value of fish catches in norway has about doubled while the number of fishermen has declined by about 85 percent this has made it possible to maintain fishermen s incomes roughly on par with other occupational groups in norway it is investigated to what extent this increase in labor productivity is due to accumulation of capital increasingly abundant fish stocks or technological progress since the capital stock in recent years is not much greater in real terms than in the early 1960s it is tempting to ascribe most of the increase in labor productivity to technical progress this however would leave out the role of fish stocks if stocks have increased over this period this would explain some of what otherwise appears as a technical progress using data on labor capital fish catches and fish stock abundance 1961 2004 the development of total factor productivity is examined ignoring changes in fish stocks total factor productivity is estimated to have increased by 0 8 percent per year accounting for changes in fish stocks raises this to 1 7 4 3 percent per year depending on the importance assigned to stocks as factors of production

a competitive dynamic pricing model when demand is interdependent over time abstract in this study we contribute to the dynamic pricing literature by developing a finite horizon model for two firms offering substitutable and nonperishable products with different quality levels customers can purchase and store the products even if they do not need them at the time in order to use them in future the stockpile of the products generated by customers affects the demand in future periods therefore the demand for each product not only is a function of prices and quality levels but also of the products stockpile levels in addition the stockpile levels change the customers consumption behavior more product in a stockpile leads to more consumption therefore we address not only the price and demand relationship but also the stockpiling and consumption relationship in a competitive environment the decision variable of each firm at the beginning of each period is its unit sale price we use a deterministic dynamic program to calculate the equilibrium prices at the beginning of each period by assuming that the market stockpile is public information we show the existence of a unique nash equilibrium we next consider the case when the firms do not know the market stockpile we then develop appropriate heuristics to calculate the optimal prices in each case a numerical study is also provided to calculate the price levels in different scenarios and compare their performances

the effect of promotion on consumption buying more and consuming it faster the authors empirically demonstrate the existence of flexible consumption rates in packaged goods products how this phenomenon can be modeled and its importance in assessing the effectiveness of

price induced patterns of competition this research focuses on how price changes influence the observed pattern of brand competition the paper begins with a basic utility model formulation and examines the implications of three major classes of preference distributions on the expected patterns of competition a price tier model is proposed to operationalize the theory and to allow predictive testing the price tier model is estimated on 28 brands across four product categories the results show a specific asymmetric pattern of price competition higher price higher quality brands steal share from other brands in the same price quality tier as well as from brands in the tier below however lower price lower quality brands take sales from their own tier and the tier below brands but do not steal significant share from the tiers above the results are consistent with a bimodal preference distribution with the regular price indifference point being located toward the lower quality end of the preference distribution for the categories analyzed

the relationship between market characteristics and promotional price elasticities many empirical studies in marketing and economics have estimated brand price elasticities for specific products in markets their results indicate that price elasticities seem to differ across brands product categories retail outlets and regions however there has been very little research which examines the factors associated with these observed differences this paper focuses on the promotional price elasticities of established major brands in stable categories it identifies some characteristics of markets which may be associated with differences in price elasticities for frequently purchased nondurables a cross sectional model of the effect of these market characteristics on price elasticities is developed and estimated utilizing own price elasticity estimates for brands at twelve stores the results indicate market characteristics such as brand market share couponing activity display activity and feature activity explain a substantial amount of the variation in promotional price elasticities

hog cycles and countercyclical production response the cycle in prices and output is not a permanent fixture of the pork industry exogenous shocks occasionally give rise to predictable cycles in pork prices but these are eventually eliminated in a manner that is consistent with the existence of countercyclical producers it normally takes several revolutions of the cycle before a sufficient number of countercyclical producers notice that a cycle has begun and are able to alter their production patterns sufficiently to eliminate it consequently the more compelling the evidence is in favor of a cycle the less likely it is to continue

cobwebs rational expectations and futures markets in the absence of futures markets cobweb cycles and other behavior inconsistent with muth rational expectations persist for long periods of time when futures markets are introduced in commodities these markets behave in a manner much more consistent with muth rational expectations by contrast despite the existence of active forward and futures markets the muth rational expectations hypothesis is rejected in the financial and foreign exchange markets the aim of this paper is to suggest an explanation of how futures markets change the structure of the supply response copyright 1992 by mit press

estimating cannibalization rates for pioneering innovations to evaluate the success of a new product managers need to determine how much of its new demand is due to cannibalizing the firm s other products rather than drawing from competition or generating primary demand we introduce a time varying vector error correction model to decompose the base sales of a new product into its constituent sources the model allows managers to estimate cannibalization effects and calculate the new product s net demand which may be considerably less than its total demand we apply our methodology to the introduction of the lexus rx300 using detailed car transaction data this case is especially interesting because the lexus rx300 was the first crossover sport utility vehicle suv implying that its demand could come from both the luxury suv and the luxury sedan categories because lexus was active in both categories there was a double cannibalization potential we show how the contribution of the different demand sources varies over time and discuss the managerial implications for both the focal brand and its competitors

a decision support system for planning manufacturers sales promotion calendars a common event in the consumer packaged goods industry is the negotiation between a manufacturer and a retailer ofthe sales promotion calendar determining the promotion calendar involves a large number of decisions regarding levels of temporary price reductions feature ads and in store displays each executed at the level of individual retail accounts and brand skus over several months or a year though manufacturers spend much of their marketing budget on trade promotions they lack decision support systems to address the complexity and dynamics of promotion planning previous research has produced insights into how to evaluate the effectiveness of promotional events but has not addressed the planning problem in a dynamic environment this paper develops a disaggregate level econometric model to capture the dynamics and heterogeneity of consumer response by modeling the purchase incidence timing choice and quantity decisions of consumers we decompose total sales into incremental and nonincremental baseline plus borrowed the response model forms the basis of a market simulator that permits us to search for the manufacturer s optimal promotion calendar subject to a set of constraints some of them imposed by the retailer via the simulated annealing algorithm calendar profits are the net result of the contribution from incremental sales minus the opportunity cost from giving away discounts to nonincremental sales and the fixed costs associated with implementing promotional events e g retagging features displays incremental sales result from promotion induced switching the acceleration and quantity promotion effects on those switchers increased consumption and the carryover effect from purchase event feedback we applied our approach to the promotion planning problem of a large consumer packaged goods company in a nonperishable staple product category suggested by company executives canned tomato sauce subject to a retailer pass through constant rate of 80 provided to us by the collaborating firm the optimal promotion calendar produced by the modeling system followed a pattern of frequent and shallow temporary price reductions with no feature or display activity we also analyze how that result would change under different retailer pass through scenarios our findings indicated that the manufacturer could substantially improve the profitability of its sales promotion activity and that there would be a concurrent positive effect on retailer profit and volume levels management reported to us that the insights from the use of the system were implemented in their promotion planning process and produced positive results a validation analysis on follow up data for one market showed that promotion activity could be significantly reduced as recommended with no adverse effect on the brand s market share as predicted to generalize the model beyond the specific category where it was implemented we conducted a sensitivity analysis on the profile of the calendar i e frequency depth and duration of deals with respect to changes in market response competitive activity and retailer pass through first we found that the optimal depth frequency and timing of discounts is stable for price elasticities ranging from near zero to around four in absolute magnitude we also found no systematic impact of competitive promotions on the profile of the optimal calendar for example variation in competitive activity did not affect the optimal depth or frequency of discounts lastly we found changes in retailer pass through to have a significant effect on the optimal depth and number of weeks of trade promotion that a manufacturer should offer this emphasizes the importance to manufacturers of having accurate estimates of pass through for purposes of promotion budgeting and planning

a model of brand choice and purchase quantity price sensitivities many consumer decisions involve a discrete choice and a continuous outcome examples of such decisions are whether to own a home or rent one and how much to spend which brand of orange juice to buy and how many ounces to buy in cases like these the choice decision is typically modeled separately say using a logit model and the continuous outcomes modeled separately using regression analysis however the continuous outcomes may not be independent of the discrete choice and vice versa and modeling the two decisions independently can lead to inefficient choice parameter estimates and biased and inconsistent regression parameter estimates in this paper we present a methodology from the limited dependent variable literature to model the dependence between the choice and quantity decisions our substantive interest is in the role of price in the choice and quantity decisions when choosing among alternatives we argue that consumers consider prices of all the competitive brands in the quantity decision on the other hand only the price of the chosen alternative is expected to impact how much of the alternative is purchased the analysis of three brands using disaggregate level panel data strongly supports our hypothesis about the role of competitive prices in the choice and quantity decisions

the invariant proportion of substitution property ips of discrete choice models this article introduces a newly discovered property of discrete choice models which i call the invariant proportion of substitution ips like the independence from irrelevant alternatives iia property ips implies individual behavior that is counterintuitive in the context of choice among similar alternatives but models that alleviate the concerns raised by iia such as generalized extreme value and covariance probit models do not necessarily alleviate the concerns raised by ips i explore the implications of the ips property on individual behavior in several choice contexts and discuss some models that alleviate the concerns raised by ips

a hierarchical bayes error correction model to explain dynamic effects of price changes abstract the authors put forth a sales response model to explain the differences in immediate and dynamic effects of promotional prices and regular prices on sales the model consists of a vector autoregression that is rewritten in error correction format which allows the authors to disentangle the immediate effects from the dynamic effects in a second level of the model the immediate price elasticities the cumulative promotional price elasticity and the long term regular price elasticity are correlated with various brand specific and category specific characteristics the model is applied to seven years of data on weekly sales of 100 different brands in 25 product categories the authors find many significant moderating effects on the elasticity of price promotions brands in categories that are characterized by high price differentiation and that constitute a lower share of budget are less sensitive to price discounts deep price discounts increase the immediate price sensitivity of customers the

the value of public information in commodity futures markets abstract the informational value of u s department of agriculture usda corn and soybean production forecasts is investigated for the period 1971 1992 three tests of informational content are applied overall the results suggest usda corn and soybean forecasts provide valuable information to participants in commodity futures markets this value does appear to have declined especially since the mid 1980s

an empirical analysis of the relationship between brand loyalty and consumer price elasticity this empirical paper explores the relationship between consumer brand preference or loyalty and price elasticity in purchase behavior this behavior is conceptualized as resulting from two distinct but related decisions namely a brand choice decision and a purchase quantity decision we argue that loyal consumers will be less price sensitive in the choice decision than nonloyal consumers however this direction is expected to be reversed in the quantity decision with loyal consumers expected to be more price sensitive than nonloyal consumers we model the choice and quantity decisions jointly using the limited dependent variable framework described in krishnamurthi and raj the data used are diary panel data on a frequently purchased product class from burke and caffeinated ground coffee scanner data from iri we show that loyals are less price sensitive than nonloyals in the choice decision but more price sensitive in the quantity decision managerial implications of the differing elasticities are disc

empirical evidence on the role of non linear wholesale pricing and vertical restraints on cost pass through abstract how a cost shock is passed through to final consumer prices may relate to nominal price stickiness and rigidities the existence of nonadjustable cost components strategic markup adjustments or other contract terms along the supply distribution chain this paper presents a simple framework to assess the potential role of nonlinear pricing contracts and vertical restraints such as resale price maintenance or wholesale price discrimination in the supply chain in explaining the degree of pass through from upstream cost shocks in the ground coffee category to downstream retail prices we find that resale price maintenance increases pass through rate

rational shopping behavior and the option value of variable pricing when a product s price fluctuates at a store how should rational cost minimizing shoppers shop for it specifically how frequently should they visit the store and how much of the product should they buy when they get there would this rational shopping behavior differ across every day low price edlp and promotional pricing hilo stores if shoppers are rational which retail price format is more profitable edlp or hilo to answer these questions we develop a normative model that shows how rational customers should shop when the price of the product is random we derive a closed form expression for the optimal purchasing policy and show that the optimal quantity to purchase under a given price scenario is linearly decreasing in the difference between the price under that scenario and the average price this purchase flexibility due to price variability has a direct impact on shopping frequency indeed the benefit of this purchase flexibility can be captured via an option value that implicitly reduces the fixed cost associated with each shopping trip consequently rational shoppers should shop more often and buy fewer units per trip when they face higher price variability our results suggest that if two stores charge the same average price for a product rational shoppers incur a lower level of expenditure at the store with a higher price variability since stores with different price variabilities coexist in practice we expect stores with higher price variability to charge a higher average price thus given two stores a higher relative mean price for a given item should be indicative of higher price variability and vice versa these model implications are tested using multicategory scanner panel data from 513 households and pricing data for three stores two edlp stores and one hilo store and 33 product categories over a two year period we find strong empirical support for the model implications

economic growth lessons from two centuries of american agriculture this paper reviews the growth experience of u s agriculture over the past two centuries in consonance with the view that growth is determined by the economic environment which consists of the available technology incentives constraints and institutions within this framework the implemented technology is determined jointly with the resource allocation the review covers the role played by resource endowment resource flow technical change and its factor bias and product demand it highlights the importance of the income elasticity of demand and the labor augmentation of the technical change the total factor productivity tfp was almost nil at the beginning of the nineteenth century increasing gradually to the point where it exhausted output growth in the latter part of the twentieth century this pattern is consistent with the postulate emerging from this framework where the tfp is endogenous and determined jointly with growth rather than determining it the more recent performance of u s agriculture is placed within a global perspective in order to generalize the discussion

the asymmetric share effect an empirical generalization on cross price effects abstract prior empirical literature states that asymmetry in cross price effect favors the high share brand that is when high share brands discount they have a greater impact on low share brands than the reverse this conclusion is based on consideration of cross price elasticities the authors point out that focusing on cross price elasticities for assessing asymmetry is inappropriate for determining the incremental profitability from price promotions instead asymmetries should be investigated in absolute cross price effects that is change in market share of a competing brand for a unit price change of the focal brand the authors theoretically and empirically demonstrate that asymmetry reverses when absolute cross price effect is considered that is the absolute cross price effect of a price reduction of a low share brand on the market share or sales of a high share brand is greater than the reverse the authors discuss the implications of the findings and future research directions

personal selling elasticities a meta analysis abstract this article presents a meta analysis of prior econometric estimates of personal selling elasticity that is the ratio of the percentage change in an objective ratio scaled measure of sales output e g dollar or unit purchases to the corresponding percentage change in an objective ratio scaled measure of personal selling input e g dollar expenditures the authors conduct a meta analysis of 506 personal selling elasticity estimates drawn from analyses of 88 empirical data sets across 75 previous articles they find a mean estimate of current period personal selling elasticity of 34 they also find that elasticity estimates are higher for early life cycle stage offerings higher from studies set in europe than from those set in the united states and smaller in more recent years in addition elasticity estimates are affected significantly by analysts use of relative rather than absolute sales output measures by cross sectional rather than panel data by omission of promotions by lagge

intertemporal substitution and storable products storable products allow consumers to time their purchases to exploit price fluctuations it has been documented that during promotions consumers buy more the additional purchases are potentially intended not only for current use but to be stockpiled for future consumption this paper discusses the predictions of a consumer inventory model and reviews the available evidence we then discuss the implications for demand estimation and present estimates of jel lo l4 dl d4 the economic magnitude of the dynamic effect of storability jel lo l4 dl d4 jel lo l4 dl d4

examining demand elasticities in hanemann s framework a theoretical and empirical analysis this paper examines demand elasticities using an integrated framework proposed by hanemann hanemann m w 1984 discrete continuous models of consumer demand econometrica52 3 541 561 which models the incidence brand choice and quantity decisions of a consumer as an outcome of her utility maximization subject to budget constraints although the hanemann framework has been the mainstay of earlier efforts to examine these decisions jointly empirical researchers who have used the it to study purchase behavior have often found that the quantity elasticities are around 1 regardless of the brand or category we attempt to uncover the underlying reasons for this finding and propose approaches to get as close to the true quantity elasticities as possible we do this by i analytically demonstrating how assumptions on the distribution of the brand specific econometrician s errors imply certain restrictions that in turn force quantity elasticities to 1 ii discussing how these restrictions can be alleviated by considering a suitable specification of unobserved parameter heterogeneity and iii using scanner data to empirically illustrate the impact of the restrictions on quantity elasticities and the relative efficacy of multiple specifications of unobserved heterogeneity in easing those restrictions we find that the specification of unobserved heterogeneity crucially influences estimates of quantity elasticities and that the mixture normal specification outperforms the alternatives

a model of regulated open access resource use abstract this paper develops a model of regulated open access resource exploitation the regulatory model assumes that regulators are goal oriented choosing target harvest levels according to a safe stock concept these harvest quotas are implemented by setting season lengths conditioned on the industry fishing capacity the industry enters until rents are dissipated conditioned on season length regulations harvest levels fishing capacity season length and biomass are determined jointly using parameter estimates from the long regulated north pacific halibut fishery predictions of these variables from the regulated open access model are compared to predictions that arise from the gordon model

an integrated choice model incorporating alternative mechanisms for consumers reactions to in store display and feature advertising the marketing literature has suggested two prominent decision mechanisms through which in store display and feature advertising can affect brand choice which i call the price cut proxy effect and the consideration set formation effect the primary objective of this study is to propose an integrated brand choice model that incorporates these two possible behavioral mechanisms which have been shown to work by previous research the model allows consumers to use various combinations of the decision mechanisms with different probabilities and thus enables one to jointly assess the extent to which each effect might occur in actual purchase data and to investigate how consumers might differ in their tendencies to engage in these decision processes by incorporating these likely behavioral mechanisms the proposed model alleviates the problems caused by multicollinearity and produces sensible parameter estimates for the joint effects of promotion vehicles in store display feature ad and price discount which contributes to better managerial decision making

total factor productivity change in the new england groundfish fishery 1964 1993 abstract we develop estimates of total factor productivity tfp change in the new england groundfish fishery from 1964 to 1993 using a procedure similar to squires 1992 rand j econom 23 2 221 236 method which extends standard tfp measurement by including the effect of fluctuations in stock abundance the results indicate that tfp increased on average by 4 4 per year from 1964 to 1993 a higher average rate of increase occurred between 1964 and 1982 possibly due to new technologies e g fishfinders tfp declined at 0 33 annually from 1983 to 1993 due to stringent output and effort control measures

decomposing the sales promotion bump with store data sales promotions generate substantial short term sales increases to determine whether the sales promotion bump is truly beneficial from a managerial perspective we propose a system of store level regression models that decomposes the sales promotion bump into three parts cross brand effects secondary demand cross period effects primary demand borrowed from other time periods and category expansion effects remaining primary demand across four store level scanner datasets we find that each of these three parts contribute about one third on average one extension we propose is the separation of the category expansion effect into cross store and market expansion effects another one is to split the cross item effect total across all other items into cannibalization and between brand effects we also allow for a flexible decomposition by allowing all effects to depend on the feature display support condition and on the magnitude of the price discount the latter dependence is achieved by local polynomial regression we find that feature supported price discounts are strongly associated with cross period effects while display only supported price discounts have especially strong category expansion effects while the role of the category expansion effect tends to increase with higher price discounts the roles of cross brand and cross period effects both tend to decrease

empirical generalizations and marketing science a personal view marketing has matured to the point where it seems desirable to take stock of where we are what we have learned and fruitful directions for extending the knowledge base that has developed science is a process involving the interaction between empirical generalizations and theory an empirical generalization is a pattern or regularity that repeats over different circumstances and that can be described simply by mathematical graphic or symbolic methods one of the purposes of the empirical generalizations conference held at wharton on february 16 18 1994 was to develop a list of examples of such empirical generalizations in marketing empirical generalization can precede a theory to explain it or it can be predicted by a theory science is the process of interaction between theory and data that leads to higher level theories examples are provided here of empirical generalizations in marketing and their theoretical counterparts one example is provided of a higher level theory

quality perceptions and asymmetric switching between brands rotating indifference curves are used to induce an income effect that favors superior brands at the expense of inferior brands in a discrete choice model when calibrated on scanner panel data the model yields an objective measure of brand quality which is related to the rate of rotation the model also leads to asymmetric responses to price promotions where switching up to high quality brands is more likely than switching down the model is capable of nesting the standard logit model and is similar to a nested logit model when there exists clusters of brands of like quality the model is used to explore a product line pricing decision where profits are maximized subject to the constraint that consumer utility is maintained

a simultaneous approach to the whether what and how much to buy questions consumer s purchase decisions of whether to buy what to buy and how much to buy are examined simultaneously based on a consumer utility maximization problem an unobservable threshold price about which a consumer pivots from nonpurchase to purchase can be deduced with any model specification the interrelationships between purchase decisions can be explicitly derived the model is applied to coffee purchasing data in addition by suppressing the nonpurchase options the model is compared with an alternative approach appearing in the marketing literature

markets and rent dissipation in regulated open access fisheries abstract using a model of regulated open access resource use with markets we illustrate the potential complexity of interactions between markets product quality excess effort and regulatory behavior in fisheries our model assumes two product types one of which is processed and storable the model describes the equilibrium that results when effort responds to open access incentives and when regulators respond to effort growth by mitigating its potential harmful effects on biomass safety we use numerical simulations to demonstrate a mechanism by which market growth leads to the diversion of raw inputs into the inherently inferior market the result is a scenario in which rents are dissipated not only because excessive inputs raise costs but also because inferior product types reduce revenues we conclude with an illustrative decomposition of rent gains into revenue and cost savings gains from rationalizing a hypothetical fishery demonstrating the potential significance of market side rents

the impact of a product harm crisis on marketing effectiveness product harm crises are among a firm s worst nightmares a firm may experience i a loss in baseline sales ii a reduced own effectiveness for its marketing instruments iii an increased cross sensitivity to rival firms marketing mix activities and iv a decreased cross impact of its marketing mix instruments on the sales of competing unaffected brands we find that this quadruple jeopardy materialized in a case study of an australian product harm crisis faced by kraft peanut butter we arrive at this conclusion by using a time varying error correction model that quantifies the consequences of this crisis on base sales and on own and cross brand short and long term effectiveness the proposed modeling approach allows managers to make more informed decisions on how to regain the brands pre crisis performance levels

modeling the distribution of price sensitivity and implications for optimal retail pricing this article focuses on the distribution of price sensitivity across consumers we employ a random coefficient logit model in which brand specific intercepts and price slope coefficients are allowed to vary across households the model is estimated with panel data for two product categories the implications of the estimated model are deduced through an optimal retail pricing analysis that combines the panel data with chain level cost figures we test parametric distributional assumptions using semiparametric density estimates based on series expansions

investigating purchase incidence brand choice and purchase quantity decisions of households we develop a comprehensive utility maximizing framework to study the impact of marketing variables on the category purchase brand choice and purchase quantity decisions of households for frequently purchased packaged goods the model allows for dependence among the three decisions while ensuring that these decisions provide in combination the greatest possible utility to the household by accounting for variations in reservation prices and intrinsic brand preferences across households the modeling framework explicitly captures the effects of unobserved heterogeneity on all three purchase decisions the principal empirical finding from analyzing the a c nielsen data for the yogurt product category is that the substantive implications for the effects of marketing variables are sensitive to whether these effects are determined conditional or unconditional on a product category purchase our results show that reservation prices and intrinsic brand preferences vary across households and not accounting for these variations in the estimation could lead to biased estimates for the coefficients of the marketing variables a comparison of our results to those obtained from a nested logit model of purchase incidence and brand choice reveals that our proposed model performs better using both a formal statistical test as well as the criterion of predictive validity in a holdout sample of panelists further the purchase quantity model compares favorably with two alternative models of quantity choice in the validation sample

similarities in choice behavior across product categories differences between consumers in sensitivity to marketing mix variables have been extensively documented in the scanner panel data all studies of consumer heterogeneity focus on a specific category of products and ignore the fact that the purchase behavior of panel households is often observed simultaneously in multiple categories if sensitivity to marketing mix variables is a common consumer trait then one should expect to see similarities in sensitivity across multiple categories the goal in this paper is to measure the covariance of both observed linked to measured characteristics of households and unobserved heterogeneity in marketing mix sensitivity across multiple categories measurement of correlation in sensitivities across categories will serve to guide the interpretation of the literature on household heterogeneity if there is a large correlation one can be more confident that sensitivity to marketing variables is a fundamental household pr operty and not simply a category specific anomaly detection of correlation in sensitivities across categories requires an appropriate methodology that can handle the high dimensional covariance structures and properly account for uncertainty in estimatio n for example a simple approach might be to fit a brand choice model to each of the available categories in turn ignoring the data in the other categories for each category household parameter estimates could be obtained for the parameters corresponding to price display and feature sensitivity these parameter estimates could be viewed as data and the correlations across categories could be computed such a procedure could induce a downward bias in the estimation of correlation dueto the independent sampling errors which are present in each parameter estimate we develop a hierarchical model structure that introduces an explicit correlation structure across categories and utilizes the data in multiple categories at the same time to reduce the size of the covariance matrix we use a variance components approach we introduce household specific demographic variables to decompose the correlation across categories into that which can be ascribed to observable and unobservable sources shopping behavior variables such as shopping frequency and market basket size as well as intensity of shopping in a category are also included in the model using data on five categories we find substantial and statistically important correlations ranging from 32 for price sensitivities to 58 for feature sensitivity these correlations are much larger than the correlations obtained with the state of the art techniques available prior to our work we attribute our ability to detect substantial correlations to our method which involves the joint use of multiple category data in a parsimonious and efficient manner unlike previous studies with panel data household demographic variables are found to be strongly related to price sensitivity higher income households are less price sensitive and large families are more price sensitive shopping behavior variables are also important in explaining price sensitivity households that visit the store often are more price sensitive households with larger market baskets are less price sensitive confirming the view of bell and lattin 1998 heavy user households tend to be both less price sensitive and less display sensitive the evidence presented here of substantial correlations validates in part the notion that sensitivity to marketing mix variables is a consumer trait and is not unique to specific product categories it also opens the possibility of using information across categories in making inferences about consumer brand preference and marketing mix sensitivity providing a richer source of information for target marketing

consumer stockpiling and competitive promotional strategies an examination of brand prices in several categories reveals that the distribution of prices is multimodal with firms offering shallow and deep discounts another interesting feature of these distributions is that they may have holes in the interior of the support these pricing distributions do not occur in extant theoretical models of price promotions we develop a dynamic model of competition in which some price sensitive consumers stockpile during periods of deep discounts a game theoretic analysis of our model generates a multimodal pricing distribution with a hole in the interior of the support consumer stockpiling in our model also gives rise to negative serial correlation in prices this is consistent with our empirical observation of the pricing distribution of several brands across multiple categories in the iri marketing data set we generate several interesting insights into firms optimal promotional strategies and their interplay with the clientele mix market structure and other market factors we find that in equilibrium stockpiling by price sensitive consumers neither harms nor benefits firms when they adopt equilibrium strategies interestingly when price sensitive consumers stockpile even increased consumption as a result of stockpiling does not lead to higher profits for firms

assessing the competitive interaction between private labels and national brands in this article we employ the linear approximate almost ideal demand system la aids and specify price reaction equations derived under the la aids specification we perform intracategory analyses using data on six individual categories as well as a pooled analysis on a sample of 125 categories and 59 geographic markets we find that consumer response to price and promotion decisions demand and firm pricing behavior supply jointly determine observed market prices and market shares further estimates of residual demand elasticities suggest that examination of partial demand elasticities alone may provide an incomplete picture of the ability of brands to raise price copyright 2000 by university of chicago press

the value of purchase history data in target marketing an important aspect of marketing practice is the targeting of consumer segments for differential promotional activity the premise of this activity is that there exist distinct segments of homogeneous consumers who can be identified by readily available demographic information the increased availability of individual consumer panel data open the possibility of direct targeting of individual households the goal of this paper is to assess the information content of various information sets available for direct marketing purposes information on the consumer is obtained from the current and past purchase history as well as demographic characteristics we consider the situation in which the marketer may have access to a reasonably long purchase history which includes both the products purchased and information on the causal environment short of this complete purchase history we also consider more limited information sets which consist of only the current purchase occasion or only information on past product choice without causal variables proper evaluation of this information requires a flexible model of heterogeneity which can accommodate observable and unobservable heterogeneity as well as produce household level inferences for targeting purposes we develop new econometric methods to implement a random coefficient choice model in which the heterogeneity distribution is related to observable demographics we couple this approach to modeling heterogeneity with a target couponing problem in which coupons are customized to specific households on the basis of various information sets the couponing problem allows us to place a monetary value on the information sets our results indicate there exists a tremendous potential for improving the profitability of direct marketing efforts by more fully utilizing household purchase histories even rather short purchase histories can produce a net gain in revenue from target couponing which is 2 5 times the gain from blanket couponing the most popular current electronic couponing trigger strategy uses only one observation to customize the delivery of coupons surprisingly even the information contained in observing one purchase occasion boasts net couponing revenue by 50 more than that which would be gained by the blanket strategy this result coupled with increased competitive pressures will force targeted marketing strategies to become much more prevalent in the future than they are today

the profit benefits of category management the practice of category management i e empolying a single decision maker who is responsible for a firm s product line has been advocated as a superior alternative to brand management i e in

cost structure and capacity in the norwegian pelagic fisheries the parameters of the short run cost function are estimated for three vessel types taking part in the norwegian pelagic fisheries purse seine vessels trawlers and coastal vessels the generalized translog functional form is used estimates of returns to scale are calculated and the results indicate that there are substantial economies of scale in all vessel classes it is further investigated whether excess capacity varies with vessel size and age the analysis suggests increased quotas per vessel to avoid rent dissipation with the total allowable catch given the number of participating vessels must be reduced

measuring consumer and competitive impact with elasticity decompositions abstract marketing investments are designed to change consumer behavior in ways that help goods compete in the marketplace previous research has focused on using elasticity decompositions to measure how these investments affect either consumer decision making or competing goods on the one hand decision based decompositions attribute the growth in own good demand to changes in the consumers decision making processes on the other hand unit based and share based decompositions attribute the same growth to either rivalrous or nonrivalrous sources the objective of this article is to provide a clear and accurate method that simultaneously attributes the growth in own good demand to changes in 1 consumers decisions 2 competitive demand and 3 competitive market share the author accomplishes this by settling some confusion about what the decision and share based decompositions mean by discussing how each of the decompositions are related to the others and by discussing the research questions th

moderating factors of immediate gross and net cross brand effects of price promotions this article examines cross price promotional effects in a dynamic context among other things we investigate whether previously established findings hold when consumer and competitive dynamics are taken into account five main influential effects asymmetric price effect neighborhood price effect asymmetric share effect neighborhood share effect and private label versus national brand asymmetry appear jointly in the second layer of a pooled hb vec varx model together with brand and category specific variables this study tests the relative importance of these key factors across three scenarios with no market dynamics when only consumer dynamics are considered and when competitive reactions are also taken into account the results confirm all five influential effects even if they are jointly estimated and consumer and competitive dynamics are taken into account national brand private label asymmetry has the strongest influence on the cross price promotional effects and becomes significantly stronger when consumer and competitive dynamics are taken into account dynamic consumer responses and competitive reactions both affect cross brand price elasticities and contrary to expectations competitive reactions accumulate rather than diminish cross price elasticities preemptive switching does occur i e a brand s promotion in period t hurts a competitor s sales in subsequent periods our findings are based on an extensive data set to attain generalizable results we analyze 33 categories in five stores that is 165 store category combinations

model of brand choice with a no purchase option calibrated to scanner panel data abstract in usual practice researchers specify and estimate brand choice models from purchase data ignoring observations in which category incidence does not occur i e no purchase observations this practice can be problematic if there are unobservable factors that affect the no purchase and the brand choice decisions when such a correlation exists it is important to model simultaneously the no purchase and the brand choice decisions the authors propose a model suitable for scanner panel data in which the no purchase decision depends on the price feature and display of each brand in the category and on household stock of inventory they link the no purchase model to the brand choice outcome through marketing mix covariates and through unobservables that affect both outcomes the authors assume that model parameters are heterogeneous across households and allow for a flexible correlation structure between the coefficients in the no purchase model and those in the brand choice model the model fo

a segment level hazard approach to studying household purchase timing decisions the increasing availability of customer level data and the willingness of marketers to customize the timing of their offers to consumers makes the accurate segment level description of household purchase timing decisions a compelling issue in this paper we employ a finite mixture accelerated failure time model to identify and characterize household segments in terms of their purchasing rates and their propensity to accelerate purchases due to marketing mix activities such an approach also promises to alleviate possible aggregation problems arising from the use of a common hazard rate for all households an application to household panel data suggested that infrequent buyers show higher propensity to accelerate than frequent buyers do and that positive duration effects are underestimated when not accounting for segment specific hazard rates copyright 2002 john wiley sons ltd

productivity development in icelandic norwegian and swedish fisheries this article analyses the total factor productivity tfp performance of fisheries in iceland norway and sweden during the period 1973 to 2003 we measure tfp growth using real gross value added as output and capital input labour input and a stock input index based on the major fish stocks in developed neighbouring countries we expect rapid diffusion of fishing technology innovations contributing to productivity convergence in addition innovations in the public regulation and the industrial organization may also have influenced productivity growth during the period we find that iceland had the highest annual tfp growth accounting for stock changes it amounts to 3 while the corresponding figures for sweden and norway are 2 8 and 0 8 respectively despite best practice fishing technologies being widely available we find no evidence of productivity convergence among the three countries