price promotions in choice models promotions are used in marketing to increase sales and drive profits by temporarily decreasing the price per unit of a good some price promotions apply to all quantities 20 off some have limits on the number of units that can be purchased at a reduced price and others only offer the discount if the volume purchased is sufficiently high we develop a model of price promotions in the context of a direct utility model where its effects are incorporated through the budget constraint price promotions complicate the estimation and analysis of direct utility models because they induce kinks and points of discontinuity in the budget set we propose a bayesian approach to addressing these irregularities and demonstrate the ability of the direct utility model to be used in counterfactual analyses of price promotions we investigate the stability of utility function estimates for consumers under alternative price promotions and find that the majority of the effect of a price promotion is through the budget s

design and analysis of simulated consumer choice or allocation experiments an approach based on aggregate data the authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocat

understanding heterogeneous preferences in random utility models a latent class approach a finite mixture approach toconditional logit models is developed in whichlatent classes are used to promoteunderstanding of systematic heterogeneity the model is applied to wilderness recreationin which a branded choice experiment involvingchoice of one park from a demand system wasadministered to a sample of recreationists the basis of membership in the classes orsegments in the sample involved attitudinalmeasures of motivations for taking a trip aswell as their stated preferences overwilderness park attributes the econometricanalysis suggested that four classes of peopleexist in the sample using the model toexamine welfare measures of some hypotheticalpolicy changes identified markedly differentwelfare effects than the standard singlesegment model and provided insight into thedifferential impact of alternative policies

when 2 2 is not the same as 1 3 variations in price sensitivity across components of partitioned prices abstract firms often use a pricing strategy in which the total price of a product and or service is partitioned into two or more mandatory components whereas previous research has compared partitioned with nonpartitioned pricing this article examines how partitioning the total price differently across the components affects consumer preferences in four studies the authors show that consumers reactions to price partitioning are moderated by the perceived consumption benefit of the components specifically consumers are more sensitive to the price of components that provide low consumption benefits than to the price of components that provide relatively high consumption benefits consequently when evaluating different partitions of the same total price consumers prefer partitions in which the price of the low benefit component is lower and the price of the high benefit component is higher

a parsimonious model for forecasting gross box office revenues of motion pictures the primary objective of this paper is to develop a parsimonious model for forecasting the gross box office revenues of new motion pictures based on early box office data the paper also seeks to provide insights into the impact of distribution policies on the adoption of new products the model is intended to assist motion picture exhibitor chains retailers in managing their exhibition capacity and in negotiating exhibition license agreements with distributors studios by allowing them to project the box office potential of the movies they plan to or currently exhibit based on early box office results it is also of interest to practitioners in other software industries e g music books cd roms where the distribution intensity is highly variable over the product life cycle and is an important determinant of new product adoption patterns the model and its extensions are of interest to academic researchers interested in modeling distribution effects in new product adoption as well as forecasters looking for ways to leverage historical data on related products to forecast the sales of new products we draw upon a queuing theory framework to conceptualize stochastically the consumer s movie adoption process in two steps the time to decide to see the new movie and the time to act on the adoption decision the parameter for the time to decide process captures the intensity of information intensity flowing from various information sources while the parameter for the time to act process is related to the delay created by limited distribution intensity and other factors our conceptualization extends existing new product forecasting models which assume that consumers act instantaneously on the motivating information they receive about the new product the resulting model is parsimonious yet it accommodates a wide range of adoption patterns in addition the stochastic formulation allows us to quantify the uncertainty surrounding the expected adoption pattern in the empirical testing we focus on the most parsimonious version of the modeling framework boxmod i a model that assumes stationarity with respect to the two shape parameters that characterize the adoption process the model produces fairly accurate early forecasts using at most the first three weeks of data for calibration and the predictive performance of the model compares favorably with benchmark models we propose extensions of the basic model that account for more realistic non stationary distribution intensity patterns including a wide release pattern that relies on intensive distribution and promotion and a platform release pattern that involves a gradual buildup of distribution intensity finally we present an adaptive weighing scheme that combines initial parameter estimates obtained from a meta analysis procedure with estimates obtained from early data to produce forecasts of box office revenues for a new movie when little or no box office data are available an important finding from the empirical testing is that motion picture box office revenue patterns display remarkable empirical regularity we find that there are only three classes of adoption patterns and these can all be represented within the basic model by using a two parameter exponential or erlang 2 probability distribution or a three parameter generalized gamma distribution we also find that cumulative box office revenues can be predicted with reasonable accuracy often within 10 of the actual using as little as two or three data points however our attempts to predict revenue patterns without any sales data meet with limited success while the scale parameter can be estimated reasonably well from a historical database of parameter values we find that it is considerably more difficult to predict the shape parameters using historical data the parsimony we seek in developing the model comes at the cost of several limiting assumptions we assume that the time to decide subprocess and the time to act subprocess are independent which may not be the case if decisions on continued exhibition by retailers are endogenously related to box office revenues over the life cycle in the basic model formulation we also assume that the time to act process can be represented by an exponential distribution which may not always be the case while we provide some empirical evidence to support these assumptions further research could relax these and other assumptions to enrich the basic model although this would entail some loss in parsimony

sectoral shocks and aggregate fluctuations abstract this paper presents a multisector dynamic general equilibrium model of business cycles with a distinctive feature aggregate fluctuations are driven by independent sectoral shocks the model hypothesizes that trade among sectors provides a strong synchronization mechanism for these shocks due to the limited but locally intense interaction that is characteristic of such input trade flows limited interaction characterized by a sparse intermediate input use matrix reduces substitution possibilities among intermediate inputs which strengthens comovement in sectoral value added and leads to a postponement of the law of large numbers in the variance of aggregate value added the chief virtue of this model is that reliance on implausible aggregate shocks is not necessary to capture the qualitative features of macroeconomic fluctuations building on horvath 1998 review of economic dynamics 1 781 808 which establishes the theoretical foundation for the relevance of limited interaction in the context of a stylized multisector model this paper specifies a more general multisector model calibrated to the us 2 digit standard industrial code economy simulations prove the model is able to match empirical reality as closely as standard one sector business cycle models without relying on aggregate shocks

retail competition in electricity markets abstract the introduction of competition into retail electricity supply gave rise to great expectations however to date its performance has proven less than stellar owing primarily to the theoretical concepts underpinning this reform which draw heavily on the austrian school neither consumers decision processes nor this sector s technical paradigm were adequately accounted for leading to an uncorrect estimation of the expected impact of opening to competition short and medium term prospects for the evolution of retail markets must be reconsidered from the perspective of greater stability not a generalization of competition but rather a persistent segmentation between active and inactive clients not a large and rapid diffusion of radical innovations in commercialisation with the potential for undermining the incumbents positions

going beyond best technology and lowest price on renewable energy investors preference for service driven business models abstract renewable energy is becoming increasingly important for economies in many countries but still in an emerging industry renewable energy requires supportive energy policy helping firms to develop and protect competitive advantages in global competition as a guideline for designing such policy we consult well informed stakeholders within the renewable energy industry investors their preferences serve as explorative indicator for assessing which business models might succeed in competition to contribute to only limited research on renewable energy investors preferences we ask which business models investment managers for renewable energy prefer to invest in we report from an explorative study of 380 choices of renewable energy investment managers based on the stated preferences we modelled three generic business models to calculate the share of investors preferences we find exiting evidence a customer intimacy business model that proposes best services is much more preferred by investors than business models that propose lowest price or best technology policy makers can use those insights for designing policy that supports service driven business models for renewable energy with a scope on customer needs rather than technology or price additionally we state important implications for renewable energy entrepreneurs managers and research

a bayesian model to forecast new product performance in domestic and international markets this paper attempts to shed light on the following research questions when a firm introduces a new product or service how can it effectively use the different information sources available to generate reliable new product performance forecasts how can the firm account for varying information availability at different stages of the new product launch and generate forecasts at each stage we address these questions in the context of the sequential launches of motion pictures in international markets players in the motion picture industry require forecasts at different stages of the movie launch process to aid decision making and the information sets available to generate such forecasts vary at different stages despite the importance of such forecasts the industry struggles to understand and predict sales of new movies in domestic and overseas markets we develop a bayesian modeling framework that predicts first week viewership for new movies in both domestic and several international markets we focus on the first week because industry players involved in international markets studios distributors and exhibitors are most interested in these predictions we draw on existing literature on forecasting performance of new movies to formulate our model specifically we model the number of viewers of a movie in a given week using a poisson count data model the number of screens distribution strategy movie attributes such as genre and presence absence of stars are among the factors modeled to influence viewership we employ a hierarchical bayes formulation of the poisson model that allows the determinants of viewership to vary across countries we adopt the bayesian approach for two reasons first it provides a convenient framework to model varying assumptions of information availability specifically it allows us to make forecasts by combining different sources of information such as domestic and international market specific data second this methodology provides us with the entire distribution of the new movie s performance forecast such a predictive distribution is more informative than a point estimate and provides a measure of the uncertainty in the forecasts we propose a bayesian prediction procedure that provides viewership forecasts at different stages of the new movie release process the methodology provides forecasts under a number of information availability scenarios thus forecasts can be obtained with just information from a historical database containing data on previous new product launches in several international markets as more information becomes available the forecasting methodology allows us to combine historical information with data on the performance of the new product in the domestic market and thereby to make forecasts with less uncertainty and greater accuracy our results indicate that for all the countries in the data set the number of screens on which a movie is released is the most important influence on viewership furthermore we find that local distribution improves movie sales internationally in contrast to the domestic market we also find evidence of similar genre preferences in geographically disparate countries we find that the proposed model provides accurate forecasts at the movie country level further the model outperforms all the extant models in the marketing literature that could potentially be used for making these forecasts a comparison of root mean square and mean absolute errors for movies in a hold out sample shows that the model that combines information available from the different sources generates the lowest errors a bayesian predictive model selection criterion corroborates the superior performance of this model we demonstrate that the bayesian model can be combined with industry rules of thumb to generate cumulative box office forecasts in summary this research demonstrates a bayesian modeling framework that allows the use of different information sources to make new product forecasts in domestic and international markets our results underscore the theme that each movie is unique as is each country and viewership results from an interaction of the product and the market hence the motion picture industry should use both product specific and market specific information to make new movie performance forecasts

official intervention in the foreign exchange market or bet against the central bank evaluating official foreign exchange intervention during the 1970s using friedman s profit criterion shows that central banks have failed to stabilize the exchange markets and have lost billions of dollars the monetary authorities have resisted rate movements which results in a misallocation of resources when there is a shift in the equilibrium exchange rate counterspeculation by exchange traders reduces the destabilizing effect of central bank intervention and the consequent loss in economic welfare

competitive strategies for late entry into a market with a dominant brand this paper considers optimal positioning advertising and pricing strategies for a firm contemplating entry in a market dominated by an entrenched competitor drawing on behavioral research on consumer preference formation we develop an individual level model that reflects differing consumer responses to similar products offered by the dominant brand and later entrants an effect we term asymmetric preferences from the resulting aggregate market response model we derive several competitive implications notably 1 that preference asymmetry can make a differentiated late entry strategy optimal even if preferences would appear to dictate otherwise and 2 that me too strategies are not equilibrium late entry strategies more generally our analysis suggests that preference asymmetry can contribute to the persistent competitive advantage of dominant brands

conjoint effect of environmental labeling disclosure of forest of origin and price on consumer preferences for wood products in the us and uk abstract a study that conjointly analyzed the effects of environmental labeling disclosure of forest of origin and price on consumer preferences for wood products was conducted in the us and the uk a choice based elicitation tool was used to mimic a real life situation where a single product was selected over a set of options data collected were analyzed using a conditional logit model certification issued by a government agency or an environmental non government organization both had a favorable effect on consumer preference over a non certified option the most relevant implication of our findings was the negative effect that disclosing information about a product coming from tropical forests had on consumer preferences even compared to a product of unknown origin a decline in product preference was observed along higher price premiums as expected the degree of sensitivity to price changes was affected by demographic characteristics model coefficients were used to estimate market shares of tropical wood products under different scenarios in both countries scenarios explored the effect of environmental certification and price premiums on product market shares

a multinational examination of the symbolic instrumental framework of consumer brand identification the authors propose a symbolic instrumental interactive framework of consumer brand identification cbi and explore its predictiveness across 15 countries using multinational data they show that the negative impact of the misalignment between self brand congruity and perceived quality on cbi is universal the interaction among cbi perceived quality and uncertainty avoidance orientation in motivating consumers identity sustaining behavior is weak however the synergy between cbi and perceived quality in motivating consumers identity promoting behavior is stronger among collectivist consumers the authors derive a typology of symbolic instrumental misalignments to help international marketing managers motivate consumers to identify with and promote brands

modeling multiattribute utility risk and belief dynamics for new consumer durable brand choice this paper proposes a brand choice model to aid in the prelaunch management of a new consumer durable entry in an existing category the model contributes to theory by integrating the critical phenomena of multiattribute preference risk and dynamics in an individual level expected utility framework the integration is based on established theoretical constructs in utility bayesian decision analysis and discrete choice theory measurement and estimation procedures are presented an application is described and the managerial relevance of this work as a planning and forecasting tool is examined

the choice theory approach to market research this paper surveys economic choice theory stressing developments that permit use of data from psychometric and conjoint experiments to produce market demand forecasts alternatives to the widely used multinomial logit model are summarized and a new method for estimating multinomial probits is described an integration of choice models with attitudinal scaling and perceptual mapping within a latent variable system is described estimation of such systems under either random effects or fixed effects descriptions of heterogeneity across individuals is discussed issues in the use of choice models to describe responses from conjoint experiments are presented new regression diagnostic tests for the consistency of multinomial logit representations are discussed

comparing dynamic multisector models we construct a multisector dsge model with input output linkages and a single type of physical capital that is costly to reallocate across sectors our model with intratemporal costs of allocating capital fits sectoral output data as well as existing models with sector specific capital both in terms of volatility and comovement with aggregate output as well as pairwise correlations between sectors the spectra of sectoral output produced by our model is similar to those from the other models the importance of sectoral shocks in our model is also similar to those from other models however our simplified model is much more amenable to extensions involving occasionally binding constraints than the competitor models that feature large state spaces

introduction strategy for new products with positive and negative word of mouth existing innovation diffusion models assume that individual experience with the product is always communicated positively through word of mouth for certain innovations however this assumption is tenuous since communicators of the product experience may transfer favorable unfavorable or indifferent messages through word of mouth this paper examines a diffusion model for products in which negative information plays a dominant role discusses its implications for optimal advertising timing policy and presents an application to forecast attendance for the movie gandhi in the dallas area

agritourism and off farm work survival strategies for small farms this study considers agritourism and off farm work as income diversification choices simultaneously and analyzes factors influencing such choices further the study assesses the impact of agritourism off farm work and both on gross cash farm income and total farm household income we utilized large set of nationwide farm survey data and selectivity based multinomial choice model an important finding of our study is that small farms have higher household income if they choose both income diversification strategies rather than a single strategy results suggest that education age of the operator financial condition and location of the farm are important factors driving income diversification alternatives finally our study indicates that accounting for selectivity is essential to ensure unbiased and consistent estimates

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

the importance of brand and competition in defining u s religious markets author affiliation brian goff department of economics 1906 college heights boulevard western kentucky university bowling green ky 42101 usa brian goff wku edu corresponding authormichelle w trawick dagger department of economics 1906 college heights boulevard western kentucky university bowling green ky 42101 usa michelle trawick wku edu acknowledgment the authors thank bob tollison colleagues participating in the economics workshop at wku and two anonymous reviewers for comments any remaining flaws are the authors responsibility 1 introductionover the past 40 years economists have vastly expanded their study of behavior in markets where there is no explicit trade of goods or services one of the most fundamental and ubiquitous of these markets is that of religious behavior where economists and other social scientists have explored a variety of influences on religious participation at the outset of this research program economic models of religious choice borrowed from long used choice theoretic concepts such as the law of demand or the cost of time more recent contributions have included household production models taking account of human capital or the role of market level forces particularly religious competition prior empirical research has resulted in the identification of a variety of determinants of religious participation these include income education race and the degree of monopolization or competitiveness in the religious market as the empirical application and testing of these models has proceeded researchers have been aware of problems in measuring various aspects of religious choice such as religious participation or religiosity at the most general level religiosity may imply a difference in a secular versus religious worldview at the level of actual observation it often measures how frequently one attends church while some of the basic measurement issues related to religious choice and behavior may be beyond the power of researchers to investigate one important aspect is not but has largely been overlooked that is the type or brand of religious choice by and large empirical research has skirted this important definitional issue and treated different types or brands of religious choice much like one would treat different brands of carbonated soft drinks using such a broad homogeneous definition of the religious product implicitly assumes that economic and demographic characteristics exert similar influences on different types or brands of religious participation and thereby assumes that such branding is not of empirical significance in defining religious markets and behavior within them 1 moreover some tension has existed in prior empirical work as to whether religious competition is an exogenous factor the common assumption or whether it helps to define the choice variable 2our central question is whether the same processes are driving religiosity across brands we ask do consumers of religion respond differently to key economic variables such as income religious competition or other factors based on the brand of religion being consumed likewise do some economic variables exert their influence independently of brand an important part of our investigation centers on how to measure brand we first rely on two indicators of brand broad denominational categories and intensity of participation in religious activity the denominational categories are mainline protestant evangelical protestant and catholic the intensity breakdown is based on geographic regions of low moderate and high religious participation in addition we also examine whether the degree of religious competition itself helps to define brand in the next section we develop theoretical explanations for variation in overall religious participation as well as by brand and discuss prior empirical work in this area

valuing watershed quality improvements using conjoint analysis abstract this paper reports on a study of valuation of multiple stream quality improvements in an acid mine degraded watershed in western pennsylvania a technique extensively used in marketing research conjoint cj analysis is used in conjunction with a random utility model rum to establish shadow valuations for various combinations of stream quality improvements in two streams the technique shows promise in the valuation of ecosystems which provide a complex variety of services several variations on respondent choice binary choice bc and intensity of preference ip were used where the latter allowed for an expression of degree of preference between status quo and alternative conditions the sample constituted a panel data set from which user and non user valuations were distinguished in addition sample respondents were identified by the distances of their residences to the stream sites permitting the analysis of effects of distance on quality improvement valuations these valuations suggested that persons living within roughly 50 miles of the evaluated stream segments place some positive value on stream improvements

context sensitive benefit transfer using stated choice models specification and convergent validity for policy analysis benefit transfer has been an important practical policy tool appealing to government agencies especially when time or budget is constrained however the literature fails to support convergent validity of benefit transfer using the stated preference method this empirical study conducts four convergent validity assessments of benefit transfer using the choice modeling method and data from rhode island and massachusetts regarding coastal land management the comparisons evaluate how individual characteristics improve benefit transfer and yield insights relevant to research specifications to produce studies adaptable for transfer applications empirical tests show benefit transfer using choice modeling may be acceptable and even empirically valid depending on the policy objectives and the context

embracing model uncertainty strategies for response pooling and model averaging econometricians modeling stated preference sp data and most other types of data are confronted with the uncomfortable reality that our knowledge of the true model is limited with only certain variables suggested by the application at hand and general classes of functional forms and error structures suggested by the literature accepting our limited knowledge we pursue strategies for analyzing sp data that are more robust to uncertainties in our knowledge of the true model these include non parametric and parametric likelihood based tests of pooling responses from different elicitation formats and a frequentist based model averaging approach for estimating willingness to pay functions we argue that these strategies lead to increased econometric integrity and empower the ultimate users of models such as policy decision makers and even juries to better assess the robustness of the results we apply these approaches to an sp survey of saltwater angling in alaska which utilized split sample rankings and ratings elicitation methods while an important goal of our paper is to develop practicable modeling strategies that will ultimately lead to more robust conclusions and more confidence by the users of sp results an equally important goal is to engender a critical discussion of how we can make the analysis of sp data more robust

the role of intratemporal adjustment costs in a multisector economy abstract in this paper we construct a multisector business cycle model which is capable of reproducing the procyclical behavior of cross sector measures of capital employment and output we start by documenting the difficulty that a standard variant of a conventional real business cycle model has in accounting for these facts we then show how the introduction of intratemporal adjustment costs for investment can significantly enhance the performance of such a model these costs make it difficult to alter the composition of production of new capital goods the presence of these costs eliminates many counterfactual observations of the model that would otherwise be present the dynamic response of variables in the model is different from what one would observe in the standard one sector model we also examine the implications of imposing intratemporal adjustment costs for labor the model can also account for the cross sector behavior of employment observed in the data

who cares about environmental stigmas and does it matter a latent segmentation analysis of stated preferences for real estate this article uses latent segmentation analysis to estimate the benefits of contaminant cleanup in waukegan harbor illinois survey responses to attitudinal and perception questions provide significant information about the existence of distinct preference groups by comparison the predictive usefulness of demographic covariates is unclear the expected aggregate willingness to pay of waukegan homeowners for full cleanup is approximately equivalent to a 20 increase in the market value of homes the aggregate estimate is little affected by the identification of preference clusters

farmers marketing preferences in local coffee markets evidence from a choice experiment in ethiopia this study investigates transactions in the local coffee markets in ethiopia while the ethiopian commodity exchange which was established in 2008 introduced regulatory institutional and organizational innovations in the coffee market informal norms and conventions remain the primary institutions governing transactions in the local markets based on a choice experiment we found that for coffee farmers the characteristics of the traders are more important than the price offered when anchoring their transactions into personal relationships this can be explained as the institutional response of farsighted calculative farmers to poorly organized coffee markets and to lacking credit and insurance markets contrary to the concept of embeddedness which claims that economic transactions are embedded into social relationships social relationships are observed to be embedded into economic relationships one of the perverse effects of these personal relationship based transactions is that farmers are insufficiently incentivized to maintain and improve coffee quality

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

combining attitudinal statements with choice experiments to analyze preference heterogeneity for functional dairy products abstract in this article we employ a discrete choice experiment to examine preferences for functional dairy product attributes and willingness to pay estimates for consumers in germany we estimate preference heterogeneity by linking stated preference choice data not only to socioeconomic characteristics but also to attitudinal statements in a latent class framework the empirical results indicate the existence of class specific preference heterogeneity based on the consumers attitude towards functional foods emphasizing the importance of attitudinal data in explaining consumers choice behavior our estimates demonstrate that within a class consumers preferences are in accordance with their responses to attitudinal statements that is functional food skeptics prefer non functional dairy products while functional food advocates have a negative preference for non functional dairy products the findings also show that all consumers place high value on dairy products enriched with known functional ingredients such as omega 3 fatty acids

valuing environmental and health risk in agriculture a choice experiment approach to pesticides in italy abstract the widespread use of pesticides in agriculture shows a complex ramification of multiple negative externalities ranging from food safety related effects to the deterioration of farmland ecosystems recent research has demonstrated that the assessment of the economic implications of such negative processes is fraught with many uncertainties this paper presents the results of an empirical study recently conducted in northern italy aimed at estimating the economic value of reducing the wide ranging impacts of pesticide use by deploying a choice experiment approach the experimental design provides a meaningful tool to assign monetary values to the negative environmental effects associated with agrochemicals use in this connection the paper addresses in particular the reduction of farmland biodiversity groundwater contamination and harm to human health the resulting estimates confirm that on average respondents demonstrate a substantial willingness to pay a premium for agricultural goods in particular foodstuffs produced in environmentally benign ways

aggregation and irrelevance in multi sector models abstract this paper studies the ability of input output relationships to generate fluctuations in aggregate output in several multi sector models including that of long and plosser 1983 in these models the manufacture of each sector s output depends on other sectors for materials these interconnections provide a mechanism for transmission of shocks across sectors and over time we ask how aggregates from these multi sector models behave relative to single sector models we provide conditions under which the second moment properties of aggregates in these models are the same as their single sector counterparts we further demonstrate that a broad class of input output structures generate aggregates with identical second moment properties and that the input output structures in this class provide a poor amplification mechanism for sector shocks

market potential for smart growth neighbourhoods in the usa a latent class analysis on heterogeneous preference and choice with data from a 2011 national association of realtors community preference survey we examined individuals preferences and the resulting market potential for smart growth neighbourhoods in the usa using a latent class choice model we discovered four classes of individuals that reveal distinctive behaviours when choosing smart growth neighbourhoods based on the interplay between aspects of community design socioeconomic characteristics and personal attitudes based on these results we estimated the demand for smart growth neighbourhoods given the way they are planned and built by linking the results of the latent class choice to a market diffusion model we were able to evaluate the effectiveness of a proposed smart growth neighbourhood design in inducing less sprawling development

too poor to be green consumers a field experiment on revealed preferences for firewood in rural guatemala the paper reports on a field experiment that investigates whether households in guatemala are willing to surrender a small material gain in order to buy legal rather than illegal firewood given the ineffectiveness of command and control policies to curb the problem of illegal logging in guatemala the experiment assesses the potential viability of market oriented solutions local consumers in developing countries are generally believed to be too poor to pay a premium for green ethical products therefore little information has been gathered on willingness to pay wtp for such products and its determinants in non affluent consumer markets while our experiment on firewood consumption in central guatemala only implies a weak and indirect test of wtp for green products the results indicate that it is premature if not unwarranted to assume that the poor are not ready to make pro ethical choices in the marketplace moreover we find that information on the legal procedures for firewood extraction significantly affects consumer choice between legal and illegal firewood

the profitability of forward currency speculation by central banks abstract a methodology is proposed to convert stock data on a central bank s official forward position in the foreign exchange market into flow data regarding its purchases and sales of forward exchange over time the flow data enable us to determine whether the central bank s forward currency operations have been profitable or not the methodology is applied to the forward currency operations of the bank of canada we find that on the whole the bank of canada did not make systematic profits or losses on its operations

heuristics for pricing and positioning a product line using conjoint and cost data designing and pricing a product line is the very essence of every business in recent years quantitative methods to assist managers in this task have been gaining in popularity conjoint analysis is already widely used to measure preferences for different product profiles and build market simulation models in the last few years several papers have been published that suggest how to optimally choose a product line based on such data we formalize this problem as a mathematical program where the objective of the firm is either profit or total welfare unlike alternative published approaches we introduce fixed and variable costs for each product profile the number of products to be introduced is endogenously determined on the basis of their desirability fixed and variable costs and in the case of profits their cannibalization effect on other products while the problem is difficult np complete we show that the maximum welfare problem is equivalent to the uncapacitated plant location problem which can be solved very efficiently using the greedy interchange heuristic based on past published experience with this problem and on simulations we perform we show that optimal or near optimal solutions are obtained in seconds for large problems we develop a new greedy heuristic for the profit problem and its application to simulated problems shows that it too runs quickly and with better performance than various alternatives and previously published heuristics we also show how the methodology can be applied taking existing products of both the firm and the competition into account

economic evaluation of environmental externalities in china s coal fired power generation abstract serious environmental externalities exist in china s power industry environmental economics theory suggests that the evaluation of environmental externality is the basis of designing an efficient regulation the purposes of this study are 1 to identify chinese respondents preferences for green development of electric power industry and the socio economic characteristics behind them 2 to investigate the different attitudes of the respondents towards pollution and co2 reduction 3 to quantitatively evaluate the environmental cost of china s coal fired power generation based on the method of choice experiments ce and the 411 questionnaires with 2466 data points we found that chinese respondents prefer pm2 5 so2 and nox reduction to co2 reduction and that the environment cost of coal fired power plants in china is 0 30 yuan per kwh in addition we found that the socio economic characteristics of income education gender and environmental awareness have significant impacts on respondents choices these findings indicate that the environmental cost of coal fired power generation is a significant factor that requires great consideration in the formulation of electric power development policies in addition importance should also be attached to the implementation of green power price policy and enhancement of environmental protection awareness

learning from experience simply there is substantial academic interest in modeling consumer experiential learning however approximately optimal solutions to forward looking experiential learning problems are complex limiting their behavioral plausibility and empirical feasibility we propose that consumers use cognitively simple heuristic strategies we explore one viable heuristic index strategies and demonstrate that they are intuitive tractable and plausible index strategies are much simpler for consumers to use but provide close to optimal utility they also avoid exponential growth in computational complexity enabling researchers to study learning models in more complex situations well defined index strategies depend on a structural property called indexability we prove the indexability of a canonical forward looking experiential learning model in which consumers learn brand quality while facing random utility shocks following an index strategy consumers develop an index for each brand separately and choose the brand with the highest index using synthetic data we demonstrate that an index strategy achieves nearly optimal utility at substantially lower computational costs using iri data for diapers we find that an index strategy performs as well as an approximately optimal solution and better than myopic learning we extend the analysis to incorporate risk aversion other cognitively simple heuristics heterogeneous foresight and an alternative specification of brands

an applied analysis of brand demand structure the demand literature is concerned with the optimal allocation of expenditure at varied but usually high levels of commodity aggregation much less aggregation however is required for business applications in applied business settings interest centres upon the different brands of the same commodity because policy formulation takes place at the level of the individual brand this paper considers application of formal demand analysis to brand demand data a theoretically plausible demand system is invoked to describe inter brand allocation of expenditure test restrictions imposed by economic theory and yield empirically determined insights into brand demand structure

on consumer preferences and the willingness to pay for term life insurance abstract we run a choice based conjoint cbc analysis for term life insurance on a sample of 2017 german consumers using data from web based experiments individual level part worth profiles are estimated by means of a hierarchical bayes model drawing on the elicited preference structures we then compute relative attribute importances and different willingness to pay measures in addition we present comprehensive simulation results for a realistic competitive setting that allows us to assess product switching as well as market expansion effects on average brand critical illness cover and underwriting procedure turn out to be the most important nonprice product attributes hence if a policy comprises their favored specifications customers accept substantial markups in the monthly premium furthermore preferences vary considerably across the sample while some individuals are prepared to pay relatively high monthly premiums a large fraction exhibits no willingness to pay for term life insurance at all presumably due to the absence of a need for mortality risk coverage we also illustrate that utility driven product optimization is well suited to gain market shares avoid competitive price pressure and access additional profit potential finally based on estimated demand sensitivities and a set of cost assumptions it is shown that insurers require an in depth understanding of preferences to identify the profit maximizing price

preference dynamics in sequential consumer choice with defaults this research examines the impact of defaults on product choice in sequential decision settings whereas prior research has shown that a default can affect what consumers purchase by promoting choi

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

the price of policy risk empirical insights from choice experiments with european photovoltaic project developers managing the transition to a renewable energy future is an important policy priority in many countries solar photovoltaic pv technology is expected to make an important contribution but due to relatively higher cost its growth to date has been largely driven by public policy notably feed in tariffs feed in tariffs have been implemented in various countries however with widely differing outcomes in terms of installed pv capacity previous research indicates that the level of policy risk may be an important driver for differences in renewable energy policy effectiveness more specifically we suggest that investors who take a decision between pv investment opportunities in different countries carefully weigh feed in tariff induced returns against a set of policy risks and choose the country with the most favorable risk return profile we empirically test this model based on a stated preference survey among european pv project developers consisting of 1575 choice decisions by 63 investors the findings of our study demonstrate that risk matters in pv policy design and that a price tag can be attached to specific policy risks such as the duration of administrative processes or uncertainty induced by an approaching capacity cap governments can build on our empirical results to design policies that will be effective in attracting private pv investment while at the same time maintaining efficiency by providing an adequate compensation for policy risk

formal choice models in marketing the paper gives an overview and evaluates the theoretical traditions underlying choice models that are used in marketing in particular the emphasis of this essay is on the underlying assumptions limitations and empirical demands of these choice models four fundamental choice models are used as a basis to analyze this complex field the neoclassical economic theory as extended by lancaster the risk preference theory of choices under uncertainty the strict utility theory and the random utility theory these four choice models and their extensions are compared and contrasted along the three critical steps in the model building process theory generation parameterization and estimation

a framework for investigating habits the hand of the past and heterogeneity in dynamic brand choice in this paper we develop a general class of dynamic brand choice models called lightning bolt lb models which are consistent with the theory of random utility maximization of consumer choice behavior the underlying random utility process is markov and the inter temporal evolution of the utility maximizing brand choice process is also markov the models permit parsimonious parameterizations of the random utility process in brand choices with the resulting switching probabilities being functionally related to explanatory variables the model allows for structural state dependence feedback habit persistence inertia and unobserved heterogeneity the theoretical development shows that several well known stochastic brand choice models can be deduced from random utility maximization theory from a managerial perspective the usefulness of the proposed model stems from its ability to separate out the effects of habits state dependence and heterogeneity strong state dependence effects imply incentives for inducing trial of a brand e g product sampling in contrast with state dependence a strong habit persistence effect may be indicative of buyer behavior where inducement of trial of a different brand may not be sufficient to maintain a sustained defection of the consumer from the habitually purchased brand to the trial brand failure to distinguish between these two effects has important implications for example a model that only accounts for state dependence effects would in the presence of only habit persistence incorrectly attribute it to state dependence based on this the manager could decide to embark on an expensive sampling program that might prove ineffective due to the absence of state dependence it is also important to distinguish between the effects of unobserved heterogeneity and state dependence in the absence of true state dependence failing to account for unobservable variations across households such as differences in price sensitivities results in the temporally persistent unobservable elements showing up as state dependence in the model hence a manager may incorrectly opt for sampling as the appropriate marketing action whereas a couponing or price promotion strategy should have been preferred we estimate the model parameters using the ac nielsen household scanner panel data set on catsup purchases further we investigate empirical techniques for overcoming the initial conditions problem that affects many dynamic models of brand choice through simulation analysis using the estimated parameters we show that the calculated profitability of a promotion must take into account the multi period impact due to state dependence further we demonstrate how ignoring heterogeneity can result in spurious state dependence thereby making marketing tactics such as product sampling appear far more attractive than they actually are specifically the model that accounts only for habit persistence and state dependence effects predicts a share increase of 2 4 points through sampling for one of the brands in the empirical analysis once the effects of unobserved heterogeneity are accounted for however this number drops precipitously to 0 3 while even this low number might fulfill the objectives of the brand manager it ensures that expectations are not eight times that number it is important to note that this paper is a first attempt at analyzing the three fundamental dimensions of dynamic brand choice behavior our formulation represents a reduced form approach as opposed to a structural approach other limitations of the model include our focus on time invariant choice sets extensions of the model to situations where choice sets vary over time are possible but are difficult another limitation is the dependence on multivariate extreme value distributions an alternative would be to use multivariate normal distributions i e a probit like structure which has certain useful properties a comparison of the two approaches would be useful empirical extensions of the model to allow for higher order processes and nested logit type model structures could also be fruitful explicitly incorporating variety seeking behavior in the model would further enrich the theoretical framework proposed in this paper

revealed and stated preferences for co2 emissions reduction the missing link abstract in this paper we combine data collected from two strands of literature dealing with revealed preferences expressed by conventional vehicle drivers for fuel price variation and stated preferences expressed by consumers for alternative fuel vehicles we employ a meta analysis approach drawing data on 30 primary studies reflecting two important policy interventions which are fuel price taxation and subsidies for alternative fuel vehicles this is a new contribution in environmental and energy economics in that we rescale all primary information into a unique index which captures consumers economic attitude towards carbon dioxide co2 emission reduction in monetary terms focusing on the transport sector we compute the implicit price for the avoidance of a kilogram of co2 emissions named pco2 explaining the existing heterogeneity from several points of view the results of the meta analysis show that contextual and individual characteristics influence the implicit price for co2 emissions avoidance this implicit price is on average positive in the case of revealed preferences studies whereas it is negative in the stated preferences studies although there are some important geographical differences our results show that fuel taxes could be an important additional instrument for environmental policy

a joint latent class model combining likert scale preference statements with choice data to harvest preference heterogeneity in addition to choice questions revealed and stated choices preference surveys typically include other questions that provide information about preferences preference statement data include questions on the importance of different attributes of a good or the extent of agreement with a particular statement the intent of this paper is to model and jointly estimate preference heterogeneity using stated preference choice data and preference statement data the starting point for this analysis is the belief that the individual has preferences and both his her choices and preference statements are manifestations of those preferences our modeling contribution is linking the choice data and preference statement data in a latent class framework estimation is straightforward using the e m algorithm even though our model has hundreds of preference parameters our estimates demonstrate that 1 within a preference class the importance anglers associate with different green bay site characteristics is in accordance with their responses to the preference statements 2 estimated across class utility parameters for fishing green bay are affected by the preference statement data 3 estimated across class preference statement response probabilities are affected by the inclusion of the choice data and 4 both data sets influence the number of classes and the probability of belonging to a class as a function of the individual s type

learning and fatigue effects revisited investigating the effects of accounting for unobservable preference and scale heterogeneity using multiple choice tasks per respondent in discrete choice experiment studies increases the amount of available information however respondents learning and fatigue may lead to changes in observed utility function preference taste parameters as well as the variance in its error term scale they need to be controlled to avoid potential bias a sizable body of empirical research offers mixed evidence in terms of whether these ordering effects are observed we point to a significant component in explaining these differences we show how accounting for unobservable preference and scale heterogeneity can influence the magnitude of observed ordering effects

the use of linear logit models in marketing research the author discusses the use of the linear logit model in marketing research a brief review of the linear logit model focuses on model formulation estimation evaluation and inference procedures

free markets and fettered consumers are consumers sufficiently self interested and self reliant so that privatized markets deliver the efficiency and welfare gains they promise why are consumers uncomfortable in markets and in some case sufficiently opposed to market solutions to prevent their implementation what can be done to prepare consumers so that they function satisfactorily in markets and understand the advantages of market based resource allocation this paper examines the foundations of consumer behavior and attitudes in markets and proposes a program of scientific research to determine how consumers cope in privatized markets and the implications for market design of the limits of self reliance

do central banks lose on foreign exchange intervention a review article abstract estimates of central bank intervention losses or profits vary widely some estimates find substantial losses others profits in most cases estimated profits are not risk adjusted and risk adjustment can have large effects furthermore profit estimates involve variables integrated of order one and because of this test statistics may have nonstandard distributions few studies take this into account estimates of risk adjusted profits for the us fed and the swedish riksbank with allowances for possible nonstandard distributions suggest that neither made losses and might have made significant profits

why firms may prefer not to price discriminate via mixed bundling abstract we analyze a simple model of joint purchase discounts using a discrete choice framework to characterize consumer choices the model suggests that mixed bundling is more likely to be associated with monopoly this is due to the benefits reaped via price discrimination in a duopoly environment however only pure components pricing may be offered in equilibrium since firms fear the extra degree of competition inherent in mixed bundling

effects on welfare measures of alternative means of accounting for preference heterogeneity in recreational demand models multiattribute revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in ireland this article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model in terms of the implications for welfare measures of environmental quality and site access changes recreationalists skill levels are found to affect preferences in both approaches statistics for the estimated distribution of welfare changes for the average respondent are computed for changes in site attributes but contrary to previous work these are found to be of similar magnitude

a note on optimal sectoral policies in production networks i study optimal sectoral policies in models with input output linkages and distortions labor subsidies cannot implement the first best allocation intermediate input subsidies or the right combination s between subsidies to labor and intermediates can optimally correct for network externalities

consumer learning brand loyalty and competition in several markets consumers can gain further information regarding how well a product fits their preferences only by experiencing it after purchase this could then generate loyalty for the products tried first this paper considers a model in which consumers learn in the first period about the product they buy and then make choices in the second period about the competing products given what they learned in the first period the paper finds that if the distribution of valuations for each product is negatively positively skewed a firm benefits is hurt in the future from having a greater market share today the brand loyalty characteristic with negative skewness two effects are identified on one hand marginal forward looking consumers are less price sensitive than myopic consumers and this is a force toward higher prices on the other hand forward looking firms realize that they gain in the future from having a higher market share in the current period and compete more aggressively in prices for similar discount factors for consumers and firms the latter effect dominates the paper also characterizes the importance of consumer learning effects on the market outcome

the impact of the household decision environment on fuel choice behavior abstract consumer preferences for fuels and alternative cookstove technologies in kenya are examined focusing on household internal and external determinants driving choice behavior in a choice experiment the potential for a transition towards cleaner and more efficient fuels and technologies is assessed by zooming in on three fuel stove combinations we find substantial demand and positive willingness to pay for the fuel stove combinations in three locations representing different decision environments demand is significantly higher in the peri urban and the resource abundant rural location than in the resource scarce rural location the presence of better developed consumer markets for fuels in these locations functions as an important driver for cookstove adoption although charcoal and ethanol stoves are preferred over improved firewood stoves continued firewood usage is expected energy switching behavior cannot be substantiated instead energy stacking is more likely where charcoal and ethanol add to and extend a household s energy portfolio

predictive testing of consumer choice models not subject to independence of irrelevant alternatives the probabilistic modeling of the relationship between objective or perceived characteristics of multiattribute alternatives and consumer choice is receiving increased attention in marketing and ot

investment preferences for wood based energy initiatives in the us abstract the forest sector is poised to become a major supplier of wood based energy in the us prospects for growth in energy demand and higher prices can create opportunities for private investments in renewable energy industries a conjoint analysis examined individuals willingness to invest in wood based energies following a random utility model the study design included three investment attributes annual returns on investment type of investment and location of investment three ordinal models that also included demographic and attitudinal characteristics indicate that wood based energy is less preferred among potential investors compared to the stock market and solar wind renewable energy investments expected returns and location of energy investments within the us are also major drivers of investment preferences favorable attitudes towards forestry and wood based energy could enhance prospects for a greater number of potential investors

to franchise or not to franchise an analysis of decision rights and organizational form shares abstract for innovators and entrepreneurs in service businesses franchising is frequently suggested as a way to succeed and grow academic research has provided little guidance for potential franchisors however this article provides a model to guide that choice of organizational form using results from agency theory analytically franchising is a way to allocate decisions within the franchise system between the franchisor and the franchisee in order to promote efficiency and provide incentives franchisees make decisions regarding local operations such as hours prices and locations because they have the knowledge about local trading conditions franchisors make decisions regarding the product its production and associated marketing efforts that together create the standardization that the trademark signals the revenue of franchise systems is divided to provide incentives to each party to support the allocation of decisions franchisors receive a percentage of gross sales typically 5 to compensate them for use of the trademark and associated services franchisees keep the unit s profits after paying royalties these profits motivate the franchisee to make the good decisions that operate the unit efficiently but franchising has limitations as well first by making franchisees invest in a unit in a specific geographic area the franchise system exposes the franchisees to business risk it consists of local economic conditions beyond franchisees control that could reduce or eliminate their capital that risk could be eliminated by owning a geographically diversified portfolio of shares of units in different places but then incentives are weakened second the requirements of standardization under the common trademark constrain franchisees from the full use of their human capital including their knowledge of local conditions some adaptations to the local market are prohibited by the requirement of standardization so high levels of either business risk or human capital in an industry make franchising a less desirable choice of organizational form these ideas are tested with interindustry data using an econometric discrete choice model on the share of sales through franchise systems termed organizational form share the methodology is identical to market share models used in economics and marketing business risk as measured by percent of units that have failed in the industry in the last 3 years and human capital required in the industry as measured by average wages paid both negatively influence the share of sales through franchise systems the model can be applied by entrepreneurs considering franchising especially in industries not traditionally associated with franchising using public data sources identified in the study a prospective franchisor can research the industry to determine if industry conditions support franchising as the optimal choice of organizational form the empirical texts also suggest a second managerially relevant conclusion the decision of should we franchise can be and should be separated from the decision of how do we implement franchising factors previously shown to influence the implementation of franchising the degree of ownership of units within the system do not influence organizational form share thus suggesting that the strategic decision of whether to franchise is distinct from the operating decision of how to implement franchising

technical note pricing under the nested attraction model with a multistage choice structure we develop a solution approach to the centralized pricing problem of a nested attraction model with a multistage tree structure we identify conditions under which the optimal solution can be uniquely determined and we characterize the optimal solution as a fixed point of a single variable in the special case of a multistage nested logit model we show the impact of asymmetry in price sensitivity and adjustment index also known as the dissimilarity index and we derive a closed form solution when the tree structure is symmetric many existing results in the literature regarding the single or two stage nested attraction model are shown to be special cases of the results we have derived we show that the equal markup property which holds for the single stage logit model with symmetric price sensitivity in general does not hold for products that do not share the same immediate parent node in the nested choice structure even when price sensitivities are the same for all products

consumer choice process for experience goods an econometric model and analysis in this research the authors develop and execute an econometric framework to model and analyze the consumer choice process for experience products formally the authors develop a multistage model

perceptual position and competitive brand strategy in a two dimensional two brand market brand positioning and competitive reaction are important determinants of optimal brand strategy analyses of brand strategy have focused on optimal pricing and positioning issues using either empirical models of perceptions and preferences game theory to examine competition or both however the important issues of advertising and distribution strategy have not been fully addressed this paper analyzes competition and strategy between two brands that compete in a two dimensional market with advertising and distribution spending in addition to prices and product positions in particular for a unimodal taste distribution of ideal points we show how optimal competitive nash equilibrium marketing mix levels and profits depend on the positions of both brands brands can reposition to increase profit and under what conditions these strategies imply minimum versus maximum differentiation positioning equilibria and how the intensity of advertising and distribution competition affect equilibrium brand positions

a choice model for packaged goods dealing with discrete quantities and quantity discounts utility maximizing solutions to economic models of choice for goods with either discrete quantities or non linear prices cannot always be obtained using standard first order conditions such as kuhn tucker and roy s identity when quantities are discrete there is no guarantee that derivatives of the utility function are equal to derivatives of the budget constraint moreover when prices are nonlinear as in the case of quantity discounts first order conditions can be associated with the minimum rather than the maximum value of utility in these cases the utility function must be directly evaluated to determine its maximum this evaluation can be computationally challenging when there exist many offerings and when stochastic elements are introduced into the utility function in this paper we provide an economic model of demand for substitute brands that is flexible parsimonious and easy to implement the methodology is demonstrated with a scanner panel data set of light beer purchases the model is used to explore the effects of price promotions on primary and secondary demand and the utility of product assortment

sectoral versus aggregate shocks a structural factor analysis of industrial production using factor methods we decompose industrial production ip into components arising from aggregate and sector specific shocks an approximate factor model finds that nearly all of ip variability is associated with common factors we then use a multisector growth model to adjust for the effects of input output linkages in the factor analysis thus a structural factor analysis indicates that the great moderation was characterized by a fall in the importance of aggregate shocks while the volatility of sectoral shocks was essentially unchanged consequently the role of idiosyncratic shocks increased considerably after the mid 1980s explaining half of the quarterly variation in ip

a comparison of stated preference methods for environmental valuation this paper presents an empirical comparison of contingent valuation cvm and choice experiments which are used to value environmental quality changes both of these methods require individuals to state their preferences for environmental qualities however choice experiments differ from cvm in that environmental attributes are varied in an experimental design which requires respondents to make repeated choices between bundles of attributes the empirical application involved the effect of environmental quality changes arising from forest management practices on recreational moose hunting values significant differences were found between the values derived from the two methods however detailed examination of the implied choice behaviour suggested that respondents ignored substitute recreation areas in the cvm question restricting the choice experiment model to consider only the one site where quality was varied resulted in welfare estimates similar to the cvm model this highlights the importance of substitutes in environmental valuation and suggests that choice experiments may be more appropriate than cvm in some cases