competitive pricing by a price leader we examine the problem of pricing in a market where one brand acts as a price leader we develop a procedure to estimate a leader s price rule which is optimal given a sales target objective and allows for the inclusion of demand forecasts we illustrate our estimation procedure by calibrating this optimal price rule for both the leader and the follower using data on past sales and prices from the mid size sedan segment of the u s automobile market our results suggest that a leader follower system stackelberg seems more consistent with the pricing behavior in this market than a mutually independent pricing rule nash we also find that our optimal price rule explains this market data better than other pricing schemes that do not account for optimizing behavior on the part of the leader and the follower

investigating the effects of store brand introduction on retailer demand and pricing behavior researchers have recently been interested in studying the drivers of store brand success as well as factors that motivate retailers to introduce store brands in this paper we study the effects of the introduction of a store brand into a particular product category specifically we are interested in the effect of store brand introduction on the demand as well as on the supply side on the demand side we investigate the changes in preferences for the national brands and price elasticities in the category on the supply side we study the effects of the new entrant on the interactions between the national brand manufacturers and the retailer introducing the store brand including how these interactions influence the retailer s pricing behavior in doing so we are also able to test whether the observed data are consistent with some of the commonly used assumptions regarding retailer pricing behavior for the demand specification we use a random coefficients logit model that allows for consumer heterogeneity the model parameters are estimated using aggregate data while explicitly accounting for endogeneity in retail prices our empirical results obtained from the oats product category based on store level data from a multistore retail chain indicate that the store brand introduction generates notable changes within the category the store brand introduction coincides with an increase in the retailer s margins for the national brand we find that the preferences for the national brand are relatively unaffected by the introduction of the store brand while consumers are in general more price sensitive in terms of elasticities than they were prior to store brand introduction a statistical test of the differences inmean price elasticities across stores and between the two regimes fails to reject the hypothesis of no change in these elasticities elasticities in specific stores however do increase after the store brand is introduced we also find that there is considerable heterogeneity in the preferences for the store brand on the supply side we test several forms of manufacturer retailer interactions to identify retailer pricing behavior most consistent with the data our results indicate that the data reject several commonly imposed forms of interactions in examining the nature of manufacturer interactions with the retailer we find that the manufacturer of the national brand appears to take a softer stance in its interactions with the retailer subsequent to store brand entry this finding is consistent with academic research and with articles in the popular press which suggest that the store brand enhances the retailer s bargaining ability vis a vis the manufacturers of the national brands we also provide results from a second product category frozen pasta that are largely consistent with those found in the oats category

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

social networks and new product choice to successfully market new products in a social network it is essential to identify influential individuals whose product recommendations influence the consumption choices of their peers in this study we use spatial econometric methods to determine how individuals revise their preferences for product attributes when exposed to product recommendations from peers and how different individuals who vary in their degree of network connectedness exert influence on the product choices of others we find evidence that consumers look to others for guidance from peers in their preference for subjective taste specific parameters but tend not to respond to peer price choices our spatial methods allow us to empirically determine the influence exerted by individual members on the consumption choices of other members of the social network we find that connected members of the social network are not always the most influential in revising the consumption choices of others our estimates reveal that network proximity explains only 8 8 of influence

structural modeling and policy simulation a primary goal of research in marketing is to evaluate and recommend optimal policies for marketing actions or instruments in the terminology of franses 2005 in this respect marketing is a very policy oriented field and it is ironic that so much published research skirts the issue of policy evaluation franses s article draws much needed attention to the question of what sort of model is usable for policy simulation and evaluation our perspective on what constitutes a valid model for policy evaluation differs from franses s view but we believe our view complements his in many important respects we also strongly believe that marketing has much to contribute to the literature on structural modeling we outline some of what we believe are the advantages for marketing scholars of using structural modeling for policy evaluations and some of the challenges presented by marketing problems franses focuses on a reduced form sales response model in which the outcome variable yt is modeled conditional on marketing variables xt if customers anticipate future marketing actions and take these into account in responding to the environment at time t an additional equation is appended to the system to describe the evolution of the xt variables in franses s view this system can be used for policy simulation if both the y and x equations have timeinvariant parameters that is the lucas critique which implies that parameters of reduced form models change if the policy regime changes does not apply according to franses a model must pass standard diagnostics possess good predictive properties and exhibit parameter stability to be useful for policy simulation we applaud the attention franses is bringing to model diagnostics we believe that structural work in both marketing and economics should pay close attention to the central features of the data increased use of model diagnostics will help ensure that structural models are capable of capturing these features however we do not believe that all the criteria proposed by franses such as out of sample validity and parameter stability are either necessary or sufficient to render a model useful for policy simulation reduced form models can pass all diagnostics including out of sample validation and still provide misleading predictions about the effects of policy changes reduced form

quantity discount dependent consumer preferences and competitive nonlinear pricing abstract producers of consumer packaged goods often offer several package sizes of the same product and charge a lower unit price for a larger size in this article the authors investigate the quantity discount effect or the phenomenon that consumers derive transaction utility from the unit price difference between a small and a large package size of the same product the authors propose a modeling framework composed of a demand side model and a supply side model the empirical results suggest that quantity discount induced gains or losses have a significant impact on consumer buying behavior the authors also find a substantial amount of structural heterogeneity that is some consumers perceive quantity discounts as gains whereas others perceive quantity discounts as losses conversely the supply side analysis suggests that manufacturers in the empirical application do not consider quantity discount effects when setting prices through a series of policy experiments the authors show that by accou

empirical analysis of competitive product line pricing decisions lead follow or move together researchers have recently developed models for determining which market conduct best describes observed data we apply these techniques from the new empirical industrial organization literature to the competitive product line pricing decision where a firm strategically prices its brands when determining the profit maximizing conduct in the market demand cost and market structure are estimated endogenously empirical results from analyzing price competition in the laundry detergent market between procter and gamble selling tide and eraplus and lever brothers offering wisk and surf indicate that each firm positions its strong brand as a stackelberg leader with the rival s minor brand being the follower

endogeneity and simultaneity in competitive pricing and advertising a logit demand analysis in this article we use four data sets to provide a benchmark study of the effects of accounting for endogeneity and simultaneity in estimating marketing mix effects in a logit demand framework we compare the results obtained from accounting for endogeneity only to those from accounting for both endogeneity and simultaneity and in the latter case we allow for more general models of firm behavior to examine the consequences of imposing assumptions about the behavior of firms we find that accounting for both endogeneity and simultaneity not only affects the parameter estimates but also results in efficiency gains that affect the statistical significance of the estimates

time varying competition normative models typically suggest that prices rise in periods of high demand and cost however in many markets prices fall when demand or costs rise this inconsistency occurs because the normative models assume that competitive intensity does not change with demand and cost conditions over time we therefore introduce the notion of time varying competition by suggesting that it is important not only to account for the direct effect of demand and cost on prices e g higher demand means higher prices but also the indirect effect of demand and cost changes on competition e g higher demand could cause more competition and hence lower prices we develop a general unified framework to empirically model the direct and indirect effects of demand and cost shifts on pricing in differentiated product markets our approach allows us to measure the indirect effect of multiple demand and cost drivers on competitive intensity and test predictions from alternative theories of repeated games the empirical application is to the u s photographic film industry where there are two main players kodak and fuji we find that the indirect effects are highly significant and comparable in magnitude to the direct effects competitive intensity is greater in periods of high demand and lower cost and is moderated by whether demand or costs are expected to grow or decline interestingly we find asymmetries in the competitive responses of kodak and fuji while kodak is sensitive to demand factors fuji is sensitive to costs our results suggest that market characteristics such as observability of competitor prices can be an important determinant of how competitive intensity is affected by demand and cost conditions

investigating heterogeneity in brand preferences in logit models for panel data in analyzing panel data the issue of heterogeneity across households is an important consideration if heterogeneity is present but is ignored in the analysis it will result in biased and inconsi

modeling consumer demand for variety consumers are often observed to purchase more than one variety of a product on a given shopping trip the simultaneous demand for varieties is observed not only for packaged goods such as yogurt or soft drinks but in many other product categories such as movies music compact disks and apparel multinomial mn choice models cannot be applied to data exhibiting the simultaneous choice of more than one variety the random utility interpretation of either the mn logit or probit model uses a linear utility specification that cannot accommodate interior solutions with more than one variety alternative chosen to analyze data with multiple varieties chosen requires a nonstandard utility specification standard demand models in the economics literature exhibit only interior solutions we propose a demand model based on a translated additive utility structure the model nests the linear utility structure while allowing for the possibility of a mixture of corner and interior solutions where more than one but not all varieties are selected we use a random utility specification in which the unobservable portion of marginal utility follows a log normal distribution the distribution of quantity demanded the basis of the likelihood function is derived from these log normal random utility errors the likelihood function for this class of models with mixtures of corner and interior solutions is a mixed distribution with both a continuous density portion and probability mass points for the corners the probability mass points must be calculated by integrals of the log normal errors over rectangular regions we evaluate these high dimensional integrals using the ghk approximation we employ a bayesian hierarchical model allowing household specific utility parameters our utility specification related to the approach of wales and woodland 1983 who employ a translated quadratic utility function wales and woodland were only able to study at the most three varieties because there was no practical way to evaluate the utility function at that time in addition the quadratic utility specification is not a globally valid utility function making welfare computations and policy experiments questionable hendel 1999 and dube 1999 present an alternative approach in the utility function which is constructed by summing up over unobservable consumption occasions while only one variety is consumed on each occasion the marginal utilities of varieties change over the consumption occasions giving rise to a simultaneous purchase of multiple varieties our bayesian inference approach allows us to obtain individual household estimates of utility parameters household utility estimates are used to compute the value of each variety we compute a compensating value for the removal of each flavor that is we compute the monetary equivalent of the household s loss in utility from removal of a flavor these calculations show that households highly value popular flavors and would incur substantial utility losses from removal of these flavors from the yogurt assortment next we consider the implications of our model for retailer assortment and pricing policies given limited shelf space only a subset of the possible varieties can be displayed for purchase at any one time if consumers value variety then a retailer with lower variety must compensate the consumers in some way such as a lower price level we see this trade off between price and variety across different retailing formats discount or warehouse format retailers often have both lower variety and lower prices to measure this trade off we explore the utility loss from reduction in variety and find the reductions in price that will compensate for this utility loss these price reduction calculations must be based on a valid utility structure heterogeneity in tastes is critical in these utility computations and policy experiments we find that a relatively small fraction of households with extreme preferences dominate the compensating value computations that is some households are observed to purchase mostly or exclusively one variety these households must be heavily compensated for the removal of this variety from the assortment in some retailing contexts customization of the assortment is possible at the customer level we show that such customization virtually eliminates any utility loss from reduction in variety

manufacturer retailer channel interactions and implications for channel power an empirical investigation of pricing in a local market the issue of power in the marketing channels for consumer products has received considerable attention in both academic and practitioner journals as well as in the popular press our objective in this paper is to provide an empirical method to measure the power of channel members and to understand the reasons demand factors cost factors nature of channel interactions for this power we confine our analysis to pricing power in channels we use methods from the game theory literature in marketing on channel interactions to obtain the theoretical framework for our empirical model this literature provides us a definition of power one that is based on the proportion or percentage of channel profits that accrue to each of the channel members there can be a variety of possible channel interactions between manufacturers and retailers in channels the theoretical literature has examined some of these games for example choi 1991 examines how channel profits for manufacturers and retailer vary if channel interactions are either vertical nash or if they are stackelberg leaderfollower with either the manufacturer or the retailer being the price leader each of these three channel interaction games has different implications for profits made by manufacturers and retailers and consequently for the relative power of the channel members in contrast to the previous literature that has focused largely on the above three channel interaction games our model extends the game theoretic literature by allowing for a continuum of possible channel interactions between manufacturers and a retailer furthermore for a given product market we empirically estimate from the data where the channel interactions lie in this continuum more critically we obtain measures of how channel profits are divided between manufacturers and the retailer in the product market where a higher share of channel profit is associated with higher channel power we then examine how channel power is related to demand conditions facing various brands and cost parameters of various manufacturers in going from game theory based theoretical models of channel interactions to empirical estimation we use the new empirical industrial organization framework bresnahan 1988 as part of this structural modeling framework we build retail level demand functions for the various brands manufacturer and private label in a given product category given these demand functions we obtain optimal pricing rules for manufacturers and the retailer in determining their optimal prices manufacturers and the retailer account for how all the players in the channel choose their optimal prices that is we account for dependencies in decision making across channel members these dependencies are characterized by a set of conduct parameters which are estimated from market data the conduct parameters enable us to identify the nature of channel interactions between manufacturers and the retailer along the continuum mentioned previously in addition to the demand and conduct parameters manufacturers marginal costs are also estimated in the model these marginal cost estimates along with the manufacturer prices and retail prices available in our dataset enable us to compute the division of channel profits among the channel members hence we are able to obtain insights into who has pricing power in the channel in the empirical application of the model we analyze a local market for two product categories refrigerated juice and tuna in both categories there are three major brands the difference between them is that the private label has an insignificant market share in the tuna category our main empirical results show that the usual games examined in the marketing literature do not hold for the given data we also nd that the retailer s market power is very significant in both these product categories and that the estimated demand and cost parameters are consistent with the estimated pattern of conduct between the manufacturers and the retailer given the evidence from the trade press of intense manufacturer competition in these categories as well as the commodity nature of these products the result of retailer power appears intuitive

pricing strategies in a dynamic duopoly a differential game model we formulate a differential game model for dynamic pricing in a duopolistic market firms demand functions are derived from utility maximizing behavior of consumers with the demand for a brand given by the logit model preferences for brands are assumed to evolve over time in the market in a manner akin to learning models postulated in the marketing literature we derive the differential equations governing the equilibrium open loop price paths over time and show that in steady state the brand with the higher preference level charges the higher price the formulation is extended to include the effects of consumer heterogeneity and equilibrium steady state prices are compared with those obtained when heterogeneity is ignored a comparison of steady state dynamic prices with myopic prices is provided an empirical example is discussed to show how steady state model predictions may be obtained from actual longitudinal purchase data

an empirical investigation of private label supply by national label producers private labels pls are ubiquitous in several categories including groceries apparel and appliances however existing empirical work has not examined the differential impact of various upstream supply arrangements for pl products or the strategic motives for pl supply to do so requires one to model the interaction between private and national label nl products both upstream and downstream while accounting for strategic behavior on the part of manufacturers and retailers and retaining essential differences between nl and pl products we build a model that satisfies these requirements and lets us answer our two research questions first can an nl firm profit from being an outsourced pl supplier second what are the upstream and downstream impacts of different pl supply arrangements we answer these questions by modeling private labels as homogenous products at wholesale but as differentiated products at retail in contrast national label products are differentiated at both wholesale and retail levels using structural model estimates for fluid milk in a major metropolitan area we conduct three counterfactual experiments we find that both nl producers and retailers profit from adding private labels we also find that a vertically integrated supply of pl leads to lower prices for end consumers

do expected future marginal costs drive inflation dynamics abstract this article discusses a more general interpretation of the two step minimum distance estimation procedure proposed in sbordone 2002 the estimator is again applied to a version of the new keynesian phillips curve where inflation dynamics are driven by the expected evolution of marginal costs the article clarifies econometric issues addresses concerns about uncertainty and model misspecification raised in recent studies and assesses the robustness of previous results while confirming the importance of forward looking terms in accounting for inflation dynamics it suggests how the methodology can be applied to extend the analysis of inflation to a multivariate setting

a larger slice or a larger pie an empirical investigation of bargaining power in the distribution channel this research aims to provide insights into the determinants of channel profitability and the relative power in the channel by considering consumer demand and the interactions between manufacturers and retailers in an equilibrium model we use the nash bargaining solution to determine wholesale prices and thus how margins are split in the channel equilibrium margins are a function of demand primitives and of retailer and manufacturer bargaining power bargaining power is itself a function of exogenous retail and manufacturer characteristics the parties bargaining positions are determined endogenously from the estimated substitution patterns on the demand side the more they have to lose in a negotiation relative to an outside option the weaker the bargaining position we use the proposed bargaining model to investigate the role of the three main factors that have been blamed for the power shift from manufacturers to retailers in recent years firm size increases store brand introductions and service level differentiation in our empirical analysis of the german market for coffee we find that bargaining power varies among the different manufacturer retailer pairs this result suggests that bargaining power is not an inherent characteristic of a firm but rather depends on the negotiation partner we are able to confirm empirically previous theoretical findings that there can be cases where the slice of the pie that goes to one of the channel members may decrease but the overall pie increases and compensates for the smaller share of profits

competition under generalized attraction models applications to quality competition under yield uncertainty we characterize the equilibrium behavior in a broad class of competition models in which the competing firms market shares are given by an attraction model and the aggregate sales in the industry depend on the aggregate attraction value according to a general function each firm s revenues and costs are proportional with its expected sales volume with a cost rate that depends on the firm s chosen attraction value according to an arbitrary increasing function whereas most existing competition papers with attraction models can be viewed as special cases of this general model we apply our general results to a new set of quality competition models here an industry has n suppliers of a given product who compete for the business of one or more buyers each of the suppliers encounters an uncertain yield factor with a given general yield distribution the buyers face uncertain demands over the course of a given sales season the suppliers compete by selecting key characteristics of their yield distributions either their means their standard deviations or both these choices have implications for their per unit cost rates

structural analysis of manufacturer pricing in the presence of a strategic retailer consumer goods manufacturers usually sell their brands to consumers through common independent retailers theoretical research on such channel structures has analyzed the optimal behavior of channel members under alternative assumptions of manufacturer retailer interaction vertical strategic interaction research in empirical industrial organization has focused on analyzing the competitive interactions between manufacturers horizontal strategic interaction decision support systems have made various assumptions about retailer pricing rules e g constant markup category profit maximization the appropriateness of such assumptions about strategic behavior for any specific market however is an empirical question this paper therefore empirically infers 1 the vertical strategic interaction vsi between manufacturers and retailer 2 the horizontal strategic interaction hsi between manufacturers simultaneously with the vsi and 3 the pricing rule used by a retailer the approach is particularly appealing because it can be used with widely available scanner data where there is no information on wholesale prices researchers usually have no access to wholesale prices even manufacturers who have access to their own wholesale prices usually have limited information on competitors wholesale prices in the absence of wholesale prices we derive formulae for wholesale prices using game theoretic solution techniques under the specific assumptions of vertical and horizontal strategic interaction and retailer pricing rules we then embed the formulae for wholesale prices into the estimation equations while our empirical illustration is using scanner data without wholesale prices the model itself can be applied when wholesale prices are available early research on the inference of hsi among manufacturers in setting wholesale prices using scanner data e g kadiyali et al 1996 1999 made the simplifying assumption that retailers charge a constant margin this assumption enabled them to infer wholesale prices and analyze competitive interactions between manufacturers in this paper we show that this model is econometrically identical to a model that measures retail price coordination across brands hence the inferred cooperation among manufacturers could be exaggerated by the coordinated pricing category management done by the retailer we find empirical support for this argument this highlights the need to properly model and infer vsi simultaneously to accurately estimate the hsi when using data at the retail level functional forms of demand have been evaluated in terms of the fit of the model to sales data but recent theoretical research on channels lee and staelin 1997 tyagi 1999 has shown that the functional form has serious implications for strategic behavior such as retail passthrough while the logit and linear model implies equilibrium passthrough of less than 100 lee and staelin call this vertical strategic substitute vss the multiplicative model implies optimal passthrough of greater than 100 vertical strategic complement vsc because passthrough rates on promotions have been found to be below or above 100 chevalier and curhan 1976 armstrong 1991 we empirically test the appropriateness of the logit vss and the multiplicative vsc functional form for the data we perform our analysis in the yogurt and peanut butter categories for the two biggest stores in a local market we found that the vss implications of the logit fit the data better than the multiplicative model we also find that for both categories the best fitting model is one in which 1 the retailer maximizes category profits 2 the vsi is manufacturer stackelberg and 3 manufacturer pricing hsi is tacitly collusive the fact that the retailer maximizes category profits is consistent with theoretical expectations the inference that the vsi is manufacturer stackelberg reflects the institutional reality of the timing of the game retailers set their retail prices after manufacturers set their wholesale prices note that in the stores and product categories that we analyze the two manufacturers own the dominant brands with combined market shares of about 82 in the yogurt market and 65 in the peanut butter market the result is also consistent with a balance of power argument in the literature the finding that manufacturer pricing is tacitly collusive is consistent with the argument that firms involved in long term competition in concentrated markets can achieve tacit collusion managers use decision support systems for promotion planning that routinely make assumptions about vsi hsi and the functional form the results from our analysis are of substantive import in judging the appropriateness of assumptions made in such decision support systems

diagnostics expectations and endogeneity abstract marketing models are often intended to guide managers to make decisions in this rejoinder the author reviews three questions that must be addressed before a model can be established as useful for policy analysis

investigating dynamic multifirm market interactions in price and advertising diagnosing the nature and magnitu de of competitive interactions among firms is important for developing effective marketing strategies in this paper we formulate a game theoretic model of firm interaction to analyze the dynamic price and advertising competition among firms in a given p roduct market firm or brand level demand functions account for the contemporaneous and carry over effects of these marketing activities and also allow for the effects of competitor actions firms take into consideration the actions of their rivals as well as their own demand and cost functions both production and advertising when determining the profit maximizing price and advertising levels our formulation enables us to quantify not only the direction and magnitude of competitive reactions but also to identify the underlying form of market conduct that generates the particular pattern of interaction we specify and estimate a fully structural econometric model for three firms constituting a distinct sub market within a personal care product category we estimate the demand and competitive interaction parameters as well as the production and advertising cost functions for each firm we then derive implications for competitive interactions and market structure interestingly we find that while firms seem to compete on advertising they price cooperatively thereby enhancing their price cost margins

conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing abstract a reverse bullwhip effect in pricing rbp occurs when an amplification of price variability takes place moving from the upstream suppliers to the downstream customers in a supply chain in this study we investigate rbp conditions for supply chains where joint replenishment and pricing decisions are made commencing with a single stage supply chain in which a retailer faces a random and price sensitive demand we extend the results to a multi stage supply chain using a leader follower game theoretical framework we discuss rbp conditions for supply chains where newsvendor and continuous review inventory policies are employed and present numerical examples for commonly used demand functions

a general equilibrium model for industries with price and service competition this paper develops a stochastic general equilibrium inventory model for an oligopoly in which all inventory constraint parameters are endogenously determined we propose several systems of demand processes whose distributions are functions of all retailers prices and all retailers service levels we proceed with the investigation of the equilibrium behavior of infinite horizon models for industries facing this type of generalized competition under demand uncertainty we systematically consider the following three competition scenarios 1 price competition only here we assume that the firms service levels are exogenously chosen but characterize how the price and inventory strategy equilibrium vary with the chosen service levels 2 simultaneous price and service level competition here each of the firms simultaneously chooses a service level and a combined price and inventory strategy 3 two stage competition the firms make their competitive choices sequentially in a first stage all firms simultaneously choose a service level in a second stage the firms simultaneously choose a combined pricing and inventory strategy with full knowledge of the service levels selected by all competitors we show that in all of the above settings a nash equilibrium of infinite horizon stationary strategies exists and that it is of a simple structure provided a nash equilibrium exists in a so called reduced game we pay particular attention to the question of whether a firm can choose its service level on the basis of its own input characteristics i e its cost parameters and demand function only we also investigate under which of the demand models a firm under simultaneous competition responds to a change in the exogenously specified characteristics of the various competitors by either i adjusting its service level and price in the same direction thereby compensating for price increases decreases by offering improved inferior service or ii adjusting them in opposite directions thereby simultaneously offering better or worse prices and service

bounded rationality in pricing under state dependent demand do firms look ahead and if so how far the authors propose an empirical procedure to investigate the pricing behavior of manufacturers and retailers in the presence of state dependent demand rather than assuming that firms are perfectl

logit demand estimation under competitive pricing behavior an equilibrium framework discrete choice models of demand have typically been estimated assuming that prices are exogenous since unobservable to the researcher product attributes such as coupon availability may impact consumer utility as well as price setting by firms we treat prices as endogenous specifically prices are assumed to be the equilibrium outcomes of nash competition among manufacturers and retailers to empirically validate the assumptions we estimate logit demand systems jointly with equilibrium pricing equations for two product categories using retail scanner data and cost data on factor prices in each category we find statistical evidence of price endogeneity we also find that the estimates of the price response parameter and the brand specific constants are generally biased downward when the endogeneity of prices is ignored our framework provides explicit estimates of the value created by a brand i e the difference between consumers willingness to pay for a brand and its cost of production we develop theoretical propositions about the relationship between value creation and competitive advantage for logit demand systems and use our empirical results to illustrate how firms use alternative value creation strategies to accomplish competitive advantage

what drives inflation in new keynesian models abstract this paper estimates variants of a small scale new keynesian model using observations on inflation inflation expectations and nominal interest rates we ask whether those variables alone can tell us something about the time series properties of real marginal costs

measuring marketing mix effects in the 32 64 bit video game console market we investigate the short and long run effects of prices and software availability on the category level diffusion of 32 64 bit video game consoles in the usa we adopt an estimation framework that allows for a flexible intrinsic growth pattern for the hardware consoles and uses instrumental variables to control for the potential endogeneity of prices we find significant long term effects of prices and software availability on sales we find that using a non parametric hazard specification is important imposing parametric forms results in elasticities that are up to 30 smaller we use these results to derive implications for marketing policies over the life cycle of the industry copyright 2009 john wiley sons ltd

there is no aggregation bias why macro logit models work in this article we examine the aggregation properties of nested logit models to understand their exceptional macro level performance the problem of aggregating micro logit models involves integrating nonlinear functions of model parameters over a distribution of consumer heterogeneity the aggregation problem is analyzed using a mixture of analytic and simulation techniques with the simulation experiments using actual panel data to calibrate the distribution of heterogeneity we conclude that the practice of fitting aggregate logit models is theoretically justified under the following three conditions 1 all consumers are exposed to the same marketing mix variables 2 the brands are close substitutes and 3 the distribution of prices is not concentrated at an extreme value these conditions are frequently met in store level scanner data

endogeneity and individual consumer choice abstract in many markets there is likely to be correlation both across periods in terms of the choices of one consumer and across consumers in terms of their choices in each period the former is caused by consumer heterogeneity and the latter may be the result of demand common shocks across consumers furthermore if firms partially observe these common shocks their market decisions may end up being endogenous and correlated with the common shocks because researchers cannot typically fully observe consumer heterogeneity and the common shocks the estimation method must account for the endogeneity of firms decisions in this article the authors present a test for endogeneity under unobserved consumer heterogeneity and common shocks which is based on a quasi likelihood estimation method to estimate the model parameters consistently when endogenous firm behavior unobserved heterogeneity and common shocks are present the test examines the differences in general method of moments coefficient estima

measuring cross category price effects with aggregate store data our objective is to understand the cross category effects of marketing activities using aggregate store level scanner data for this we provide a framework derived from household utility maximizing behavior which assumes that a household chooses the bundle of products with the highest utility we use a second order taylor series approximation to an arbitrary utility function to represent bundle utility aggregate sales or shares in each category are derived under the assumption that households are heterogeneous in their preferences and in their sensitivities to marketing activities our estimation accounts for potential price endogeneity in demand using store level scanner data on four product categories liquid laundry detergents powdered laundry detergents liquid fabric softeners and sheet fabric softeners we find evidence for a complementary relationship between liquid softeners and both forms of detergents we also find that the magnitude of cross category elasticities are brand specific i e different brands in a category have a different price impact on the demand for a brand in another category the results have implications for retailers in terms of the potential need for cross category management as well as for manufacturers such as procter gamble that participate in all four categories we compare our model with a log log regression specification on three criteria estimated elasticities hold out sample predictions and retailer cross category pricing we find that the proposed model produces more reasonable estimates relative to the log log model it predicts better and is more useful for pricing purposes further in a simulation study we show that our proposed model can recover the elasticities from a data generating process that simulates household level joint outcomes across categories even after these data have been aggregated to brand level shares within each category by contrast the log log regression model is unable to do so

inventory investment and the empirical phillips curve in this paper we study the calvo pricing models with finished goods inventory investment to demonstrate that the current inflation can be expressed as a function of the marginal cost of sales not the marginal production cost and expected future inflation under the assumption that the true aggregate marginal costs are not observable in actual data we make use of equilibrium conditions for aggregate finished goods inventories to measure the time series of marginal costs thereby leading to the construction of inflation series on the basis of the phillips curve our results indicate the possibility of a successful fit of the empirical new keynesian phillips curve without relying on unit labor cost a conventional measure of marginal production cost in the literature

credit booms and macrofinancial stability this paper explores several questions about credit booms and busts when do credit booms occur when do they end up in busts and when do they not what are the implications for different policies if curbing credit growth and or mitigating the associated risks is an objective we find that credit booms are often associated with financial reform and economic growth they also tend to be more frequent in fixed exchange rate regimes only one in three credit boom episodes are followed by a financial crisis these booms tend to be larger and last longer macroprudential tools have at times proven effective in containing booms and more often in limiting the consequences of busts due to the buffers they helped to build

endogeneity and heterogeneity in a probit demand model estimation using aggregate data two issues that have become increasingly important while estimating the parameters of aggregate demand functions to study firm behavior are theendogeneity of marketing activities typically price andheterogeneity across consumers in the market under consideration ignoring these issues in the estimation of the demand function parameters can lead to biased and inconsistent estimates for the effects of marketing activities endogeneity and heterogeneity have achieved prominence in large measure because of the increasing popularity of logit models to characterize demand functions usingaggregate data the logit model accounts for purchase incidence and brand choice by including a no purchase alternative in the consumer s choice set this allows for category sales to change as a function of the marketing activities of brands in the category there are three issues with using the logit model with the no purchase option to characterize demand when studying competitive interactions among firms 1 the marketing literature dealing with brand choice behavior at the consumer level has found that the iia restriction is not appropriate as each brand in the choice set is more similar to some brands than it is to others 2 studies have found that the purchase incidence decision is distinct from the brand choice decision hence it may not be appropriate to model the no purchase decision as just another alternative in the choice set with the iia restriction holding across all brands and the no purchase option 3 even if the distinction between the purchase incidence and brand choice decisions is accounted for via for example a nested logit specification accounting for the purchase incidence decision with aggregate data requires assumptions for computing the share of the no purchase alternative which is otherwise unobserved in this paper we propose a probit model as an alternative to the logit model to specify the aggregate demand functions of firms competing in oligopoly markets the probit model avoids the iia property that affects the logit model at the individual consumer level furthermore the probit model can naturally account for the distinction between the purchase incidence and brand choice decisions due to the general covariance structure assumed for the utilities of the alternatives we demonstrate how the parameters of the proposed model can be estimated using aggregate time series data from a product market in the estimation we account for the endogeneity of marketing variables as well as for heterogeneity across consumers our results indicate that both endogeneity as well as heterogeneity need to be accounted for even after allowing for a non iia specification at the individual consumer level specific to our data we also find that ignoring endogeneity has a bigger impact on the estimated price elasticities than ignoring the effects of heterogeneity a comparison of the elasticities obtained from the probit model with those from the corresponding logit specification indicates that therange of elasticities obtained from the probit model across brands is larger than that obtained from the logit the results have implications for issues such as firm level pricing in addition to specifying a probit model and providing comparisons with the logit model the paper also addresses the third issue raised above we propose a simple alternative to the purchase incidence brand choice specification by decomposing the demand for a brand into a category demand equation and a conditional brand choice share equation we provide a comparison of results from this specification to those from the specification that includes the no purchase alternative and find that estimated elasticities are sensitive to the specification used we also estimate the demand function parameters using a traditional specification such as the double logarithmic model here we find that the estimated elasticities could be signed in such a manner as to be not useful for firm level pricing decisions one of the key limitations of the proposed model is that while it accounts for the purchase incidence and brand choice decisions of households it does not account for differences across consumers in their purchase quantities the model and analysis are best suited for product categories in which consumers typically make single unit purchases another limitation is more practical in nature while recent advances have been made in computing probit probabilities it could nevertheless be a challenge to do so when the number of alternatives is large

a structural equations analysis of the impact of price promotions on store performance guided by past research conventional wisdom in the retailing area and microeconomic theory the authors develop a series of hypotheses about the effects of loss leaders in store price specials