utility covariances and context effects in conjoint mnp models experimental conjoint choice analysis is among the most frequently used methods for measuring and analyzing consumer preferences the data from such experiments have been typically analyzed with the multinomial logit mnl model however there are several problems associated with the standard mnl model because it is based on the assumption that the error terms of the underlying random utilities are independent across alternatives choice sets and subjects the multinomial probit model mnp is well known to alleviate this assumption of independence of the error terms accounting for covariances in utilities in modeling choice experiments with the mnp is important because variation of the coefficients in the choice model may occur due to context effects previous research has shown that subjects utilities for alternatives depend on the choice context that is the particular set of alternatives evaluated simonson and tversky s tradeoff contrast principle describes the effect of the choice context on attribute importance and patterns of choice they distinguish local contrast effects which are caused by the alternatives in the offered set only and background contrast effects which are due to the influence of alternatives previously considered in choice experiments these effects are hypothesized to cause correlations in the utilities of alternatives within and across choice sets respectively the purpose of this study is to develop an mnp model for conjoint choice experiments this model is important for a more detailed study of choice patterns in those experiments in developing the mnp model for conjoint choice experiments several hurdles need to be taken related to the identification of the model and to the prediction of holdout profiles to overcome those problems we propose a random coefficients rc model that assumes a multivariate normal distribution of the regression coefficients with a rank one factor structure on the covariance matrix of these regression coefficients the parameters in this covariance matrix can be used to identify which attributes and levels of attributes are potentional sources of dependencies between the alternatives and choice sets in a conjoint choice experiment we present several versions of this model moreover for each of these models we allow utilities to be either correlated or independent across choice sets the independent probit ip model is used as a benchmark given the dimensionality of the integrations involved in computing the choice probabilities the models are estimated with simulated likelihood where simulations are used to approximate the integrals involved in the choice probabilities we apply and compare the models in two conjoint choice experiments in both applications the random coefficients mnp model that allows choices in different choice sets to be correlated rc displays superior fit and predictive validity compared with all other models we hypothesize that the difference in fit occurs because the rc model accommodates correlations among choice sets that are caused by background contrast effects whereas the model that treats choice sets as independent irc accounts for local contrast effects only the irc model shows superior model fit compared with the ip model but its predictions are worse than those of the ip model we find differences in the importance of local and background contrast effects for choice sets containing different numbers of alternatives the background contrast effect may be stronger for smaller choice sets whereas the local contrast effect may be stronger for bigger choice sets we illustrate the differences in simulated market shares that are obtained from the rc irc and ip models in three hypothetical situations product modification product line extension and the introduction of a me too brand in all of those situations substantially different market shares are predicted by the three models which illustrates the extent to which erroneous predictions may be obtained from the misspecified irc and ip models

mathematical structure of a bilevel strategic pricing model abstract this paper is concerned with the characterization of optimal strategies for a service firm acting in an oligopolistic environment the decision problem is formulated as a leader follower game played on a transportation network where the leader firm selects a revenue maximizing price schedule that takes explicitly into account the rational behavior of the customers in the context of our analysis the follower s problem is associated with a competitive network market involving non atomic customer groups the resulting bilevel model can therefore be viewed as a model of product differentiation subject to structural network constraints

spatial competition and the theory of differentiated markets an introduction spatial economics has been both in the very center of microeconomic theory and at its periphery it has been at the center to the extent that it has followed a tradition taking its roots in hotelling s classic stability in competition paper 15 and has used spatial concepts to explain by analogy the pricing of differentiated commodities it has been at the periphery to the extent that it has considered spatial pricing as observed in real life situations and tried to rationalize and evaluate observed spatial pricing techniques the former approach focuses on f o b pricing which is apparently taken for granted the latter focuses on discriminatory pricing which appears as the most frequently used technique in the industrial world the purposes of this special issue are to bring those two approaches together and to explore some of their analytical possibilities and limitations the philosophy of this introductory paper is to show the need for an integration of both avenues in an analysis of differentiated markets we begin by discussing the assumptions of what we will call the hotellinglosch approach and their implications in terms of the problems they allow us to tackle several papers in this issue contribute new insights in this respect we then undertake a similar exercise for what may be called the greenhutohta approach focusing on spatial price discrimination to discover the possibilities it may provide for an analysis of quality choice at the outset we note that its spatial approach typically implies partition of the

comparing alternative models of heterogeneity in consumer choice behavior summary when modeling demand for differentiated products it is vital to adequately capture consumer taste heterogeneity but there is no clearly preferred approach here we compare the performance of six alternative models currently the most popular are mixed logit mixl particularly the version with normal mixing n mixl and latent class lc which assumes discrete consumer types recently several alternative models have been developed the generalized multinomial logit g mnl extends n mixl by allowing for heterogeneity in the logit scale coefficient scale heterogeneity logit s mnl is a special case of g mnl with scale heterogeneity only the mixed mixed logit mm mnl assumes a discrete mixture of normals heterogeneity distribution finally one can modify n mixl by imposing theoretical sign constraints on vertical attributes we call this t mixl we find that none of these models dominates the others but g mnl mm mnl and t mixl typically outperform the popular n mixl and lc models copyright 2012 john wiley sons ltd

the generalized multinomial logit model accounting for scale and coefficient heterogeneity the mixed or heterogeneous multinomial logit mixl model has become popular in a number of fields especially marketing health economics and industrial organization in most applications of the model the vector of consumer utility weights on product attributes is assumed to have a multivariate normal mvn distribution in the population thus some consumers care more about some attributes than others and the iia property of multinomial logit mnl is avoided i e segments of consumers will tend to switch among the subset of brands that possess their most valued attributes the mixl model is also appealing because it is relatively easy to estimate recently however some researchers have argued that the mvn is a poor choice for modelling taste heterogeneity they argue that much of the heterogeneity in attribute weights is accounted for by a pure scale effect i e across consumers all attribute weights are scaled up or down in tandem this implies that choice behaviour is simply more random for some consumers than others i e holding attribute coefficients fixed the scale of their error term is greater this leads to a scale heterogeneity mnl model s mnl here we develop a generalized multinomial logit model g mnl that nests s mnl and mixl by estimating the s mnl mixl and g mnl models on 10 data sets we provide evidence on their relative performance we find that models that account for scale heterogeneity i e g mnl or s mnl are preferred to mixl by the bayes and consistent akaike information criteria in all 10 data sets accounting for scale heterogeneity enables one to account for extreme consumers who exhibit nearly lexicographic preferences as well as consumers who exhibit very random behaviour in a sense we formalize below

the role of price in multi attribute product evaluations the potentially multifaceted role of price in product evaluations is investigated with an empirical analysis of surveyed beliefs attitudes and intentions regarding automobile brands it is found that price beliefs both influence and are influenced by beliefs about a brand s quality thereby contributing to the attribution definition process however price is not a significant determinant of overall attitude it is also found that price becomes a negative factor when behavioral intentions are involved lending support to an economic interpretation of price

a factor analytic probit model for representing the market structure in panel data internal market structure analysis infers both brand attributes and consumer preferences for those attributes from preference or choice data the authors exploit a new method for estimating probit models from panel data to infer market structures that can be displayed in few dimensions even though the model can represent every possible vector of purchase probabilities

competitive maps the structure underlying asymmetric cross elasticities a special case of three mode factor analysis is used to portray the systematic structure underlying asymmetric cross elasticities for a broad class of market share attraction models analysis of the variation over retail outlets and weeks reveals competitive patterns corresponding to sales for the major brands in the market as well as patterns reflecting shelf price competition analysis of the brand domain results in a joint space one set of brand positions portrays how brands exert influence over the competition the other set of points portrays how brands are influenced by others the interset distances angles provide direct measures of competitive pressures maps are formed as spatial representations of each of the competitive patterns discovered

an ideal point probabilistic choice model for heterogeneous preferences this paper presents a new ideal point probabilistic choice model unlike the model suggested by cooper and nakanishi cooper l g m nakanishi 1983 two logit models for external analysis of preferences psychometrika48 4 607 619 which attempts to capture choices via a single ideal point the proposed model though based on aggregate data allows for heterogeneity in preferences by estimating a distribution of ideal points the model accounts for substitutability among choice alternatives and alleviates one of the major sources for the violation of the independence from irrelevant alternatives property it is demonstrated that the final form of the model is a multinomial probit with a covariance matrix that depends on the relative position of the choice alternatives an empirical application is provided and the resulting parameters are compared to the distributions of ideal points and attribute weights obtained via linmap at the individual level and via both the logit and probit versions of the model proposed by cooper and nakanishi at the aggregate level

remittances and the dutch disease abstract using data for el salvador and bayesian techniques we develop and estimate a two sector dynamic stochastic general equilibrium model to analyze the effects of remittances on emerging market economies we find that whether altruistically motivated or otherwise an increase in remittance flows leads to a decline in labor supply and an increase in consumption demand that is biased toward non tradables the higher non tradable prices serve as incentive for an expansion of that sector culminating in reallocation of labor away from the tradable sector a phenomenon known as the dutch disease quantitative results also indicate that remittances improve the welfare of households because they smooth income flows and increase consumption and leisure levels a bvar analysis provides results that are consistent with the dynamics of the model

estimating fishing and hunting leisure spending shares in the united states abstract we apply a bivariate censored demand system to estimate hunting and fishing trip related spending shares in the united states using data from off site surveys the approach considers fishing and hunting destination decisions and includes respondents who were inactive i e did not hunt or fished in a particular season the statistical significance of correlation coefficient parameter supports the use of a joint e g bivariate rather than separate e g univariate decision modeling process for fishing or hunting share equations most individual characteristics are statistically significant as explanatory variables respondents holding recreation licenses tended to spend significantly more on recreation than those without licenses all own price and cross price elasticities are statistically significant and suggest that hunting and fishing are complements the results also suggest that the popularity of hunting may decline as the population ages

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

structural estimation of real options models we propose a numerical approach for structural estimation of a class of discrete markov decision processes emerging in real options applications the approach is specifically designed to account for two typical features of aggregate data sets in real options the endogeneity of firms decisions the unobserved heterogeneity of firms the approach extends the nested fixed point algorithm by rust 1987 optimal replacement of gmc bus engines an empirical model of harold zurcher econometrica 55 5 999 1033 1988 maximum likelihood estimation of discrete control processes siam journal of control and optimization 26 5 1006 1024 because both the nested optimization algorithm and the integration over the distribution of the unobserved heterogeneity are accommodated using a simulation method based on a polynomial approximation of the value function and on recursive least squares estimation of the coefficients the monte carlo study shows that omitting unobserved heterogeneity produces a significant estimation bias because the model can be highly non linear with respect to the parameters

remittances financial development and growth abstract despite the increasing importance of remittances in total international capital flows the relationship between remittances and growth has not been adequately studied this paper studies one of the links between remittances and growth in particular how local financial sector development influences a country s capacity to take advantage of remittances using a newly constructed dataset for remittances covering about 100 developing countries we find that remittances boost growth in countries with less developed financial systems by providing an alternative way to finance investment and helping overcome liquidity constraints this finding controls for the endogeneity of remittances and financial development does not depend on the particular measure of financial sector development used and is robust to a number of robustness tests including threshold estimation we also provide evidence that there could be an investment channel trough which remittances can promote growth especially when the financial sector does not meet the credit needs of the population

remittances monetary policy and partial sterilization author affiliation diego e vacaflores dv13 txstate edu acknowledgment the author thanks dennis w jansen for his insightful contributions and continuous guidance i also thank the editor kent kimbrough and two anonymous referees for their valuable comments and suggestions 1 introductionremittances have increased over the last several decades international estimates of official remittance flows suggest that the total amount of worker remittances have increased to us 300 billion in 2010 inter american development bank 2012 this increase may in part be attributed to the rapid growth of money transfer institutions which has reduced the average transaction cost and has made them more visible however it may also be indicative of an actual increase in these monetary transfers due to increased migration flows which now represent approximately 45 of net private capital flows to developing countries the importance of remittances for remittances receiving developing countries does not just come from their size but mainly from its potential and actual effects on both the society and the individual remittances affect labor market decisions school retention export sector competitiveness and financial deepening funkhouser 1992 glytsos 2002 cox edwards and ureta 2003 amuedo dorantes and pozo 2004 chami fullenkamp and jahjah 2005 giuliano and ruiz arranz 2009 in terms of consumption remittance flows have gone from satisfying basic needs to providing a vast array of durable goods for recipient households they can thus potentially promote economic growth and development through higher domestic demand if motivated by altruism or through enhanced productive capacity if motivated by self interest most of the literature on remittances focuses on the microeconomic implication of such flows for the sender and for the receiver of these funds on the basis of survey data this trend in the literature has examined the motivations to remit such as contractual arrangements altruism repayment of migration costs and so on and the uses of these funds in the home country e g for education health care entrepreneurial initiatives social works etc at the macro level the literature on the impact of remittances on the recipient country is sparse but growing as researchers realize that it could have important effects on the overall economy however economists have overlooked the examination of the potential influence that higher levels of remittances can have on the implementation of monetary policy and thus its understanding is still limited since remittances provide a secondary income to households they would affect decisions with respect to labor supply and consumption which can alter the effectiveness of monetary policy when this additional income is a significant portion of a household s income additionally although domestic governments usually try to sterilize capital flows to sustain a given policy the high levels of informality in some developing countries and the significant portion of remittances that continue to flow through informal channels make monetary targeting problematic given these potential complications monetary policy could potentially have a differential impact depending on the remittances share of gdp and fluctuations in remittances can affect the amount of money in circulation and therefore economic performance accounting for such influences thus became imperative for stabilization policy this study examines the potentially different impact that monetary policy can have on output depending on the relative share of remittances as a percentage of gdp and the differential effect that remittances shocks can have on the main macroeconomic aggregates when economies do not fully sterilize such inflows channels never explored before it builds on the theoretical model developed by jansen vacaflores and naufal 2010 explicitly incorporating remittances in a small open economy framework and is able to show that monetary policy has a differential effect on output depending on the relative size of these remittances

defensive marketing strategies this paper analyzes how a firm should adjust its marketing expenditures and its price to defend its position in an existing market from attack by a competitive new product our focus is to provide usable managerial recommendations on the strategy of response in particular we show that if products can be represented by their position in a multiattribute space consumers are heterogeneous and maximize utility and awareness advertising and distribution can be summarized by response functions then for the profit maximizing firm it is optimal to decrease awareness advertising it is optimal to decrease the distribution budget unless the new product can be kept out of the market a price increase may be optimal and even under the optimal strategy profits decrease as a result of the competitive new product furthermore if the consumer tastes are uniformly distributed across the spectrum a price decrease increases defensive profits it is optimal at the margin to improve product quality in the direction of the defending product s strength and it is optimal at the margin to reposition by advertising in the same direction in addition we provide practical procedures to estimate 1 the distribution of consumer tastes and 2 the position of the new product in perceptual space from sales data and knowledge of the percent of consumers who are aware of the new product and find it available competitive diagnostics such as the angle of attack are introduced to help the defending manager this article was originally published in marketing science volume 2 issue 4 pages 319 360 in 1983

measuring the effects of new brand introduction on inter brand strategic interaction this paper empirically investigates the effects of a new brand introduction on the market structure of a product market i e the nature of competition among existing brands the model is based on the discrete choice multinomial logit model in which the household specific brand intercepts are decomposed into brand locations in attribute space and households importance weights for these attributes the formulation also incorporates the effects of marketing variables on brand choice behavior the relative proximity of brands in the attribute space provides a measure of the intensity of competitive rivalry among brands a new brand introduction results in an additional location in this space three consequences of the introduction are investigated i impact on brand locations of extant brands ii change in the importance weights assigned by households to the attributes iii effects on households sensitivities to marketing activities as some or all of the above could change these three effects result in eight combinations that need to be studied the general model is one in which all three components are allowed to change and this nests the remaining seven specifications the specification that is most consistent with the data can therefore be isolated via a statistical test of nested hypotheses identifying the consequences of the introduction for market structure has implications for managerial action an empirical application of the model to household scanner panel data using liquid laundry detergents is provided

do remittances induce inflation fresh evidence from developing countries the goal of this article is to examine the determinants of inflation in both the short run and the long run for 54 developing countries using a panel data set covering the 1995 2004 period apart from the commonly used economic determinants of inflation we model the impact of remittances and institutional variables on inflation using the arellano and bond panel dynamic estimator and the arellano and bover and the blundell and bond system generalized method of moments estimator we find evidence that in developing countries remittances generate inflation the effect of remittances on inflation is more pronounced in the long run moreover we find that openness debt current account deficits the agricultural sector and the short term u s interest rate have a positive effect on inflation we also find that improvements in democracy reduce inflation

using neoclassical consumer choice theory to produce a market map from purchase data this article presents a new model for estimating the spatial representation of objects and preference vectors from actual choice behavior of individuals or households it is based on neoclassical economic theory of consumer choice the model integrates both decisions of which good s to buy and the quantity of purchase overall preference is decomposed into price effects and intrinsic preference for the good a maximum likelihood method for estimating the model parameters is described and illustrated using choice data of ketchup brands collected by the use of electronic supermarket scanners

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

workers remittances and the real exchange rate a paradox of gifts abstract we test the impact of workers remittances on the real exchange rate using a panel of 13 latin american and caribbean countries the analysis reveals that workers remittances have the potential to inflict economic costs on the export sector of receiving countries by reducing its international competitiveness our findings raise concerns parallel to those raised by dutch disease or resource boom models where resource discoveries result in real exchange rate appreciation and shifting of resources from the traded to the nontraded sectors of the economy

inertia and variety seeking in a model of brand purchase timing previous research on state dependence indicates that a brand s purchase probabilities vary over time and depend on the levels of inertia and variety seeking and on the identity of the previously purchased brand brand choice probabilities obtained from models such as the logit and the probit are however fixed over time conditional on the previous brand purchased and on the levels of marketing variables consequently state dependence has largely been studied as a time invariant phenomenon in brand choice models with the levels of inertia and variety seeking assumed to be constant over time to account for the time varying nature of state dependence would require a model in which brand switching probabilities depend upon interpurchase times one modeling framework that can account for this dependence is based on the hazard function approach the proposed approach works as follows all other factors being equal an inertial household purchasing a brand on a particular occasion is most likely to repurchase that brand on the next occasion if the household switches it will be to a brand located perceptually close in attribute space to the previously purchased brand in other words an inertial household has the highest switching hazard for the same origin and destination brands with a progressively lower hazard rate for brands perceptually located farther and farther away from the origin brand the amount by which the hazard is lowered depends upon the perceptual distance and the inertia level of the household on the other hand if the household is variety seeking the most likely brand purchased would be a brand located farthest away from the previously purchased brand in attribute space in other words the hazard rate of repurchase is the lowest with the rate increasing with the distance of the destination brand from the origin brand and the level of that household s variety seeking tendency the effects of inertia and variety seeking are therefore incorporated at the attribute level into a brand purchase timing model in doing so we attempt to provide greater insight into the nature of state dependence in models of purchase timing our model and estimation procedure will enable us to distinguish between households that are inertial and those that are variety prone in addition to accounting for state dependence the model also accounts for the effects of unobserved heterogeneity among households in their brand preferences and in their sensitivities to marketing activities a majority of studies in marketing using the hazard function approach to investigate purchase timing have not accounted for heterogeneity in marketing mix effects the study integrates recent methods that incorporate the effects of inertia and variety seeking in brand choice models with a semi markov model of purchase timing and brand switching the proposed model enables us to 1 infer market structure via a perceptual map for the sample households and 2 investigate implications for the introduction of a line extension we provide empirical applications of the proposed method using three different household level scanner panel data sets we find that differing levels of inertia and variety seeking characterize the three data sets the findings are consistent with prior beliefs regarding these categories in addition our results indicate that the nature of interbrand purchase timing behavior depends upon the extent of inertia or variety seeking in the data we are also able to characterize the structure of the three product markets studied this provides implications for interbrand rivalry in the market further we demonstrate how the model and results can be used to predict the location of a line extension in the perceptual space of households finally we obtain implications for the timing of brand promotions

choice map inferring a product market map from panel data this paper describes choice map a model that infers a product market map from panel data choice map is a stochastic brand choice model a random utility quantal choice model and a multidimensional scaling procedure choice map combines the parsimony of stochastic choice models the rationale of random utility models and the ability of multidimensional scaling procedures to simultaneously infer both brand positions and consumer preferences from preference choice data choice map assumes that consumers have stationary purchase probabilities for the observational period which makes the model best suited to frequently bought mature product categories neither experimental nor survey data are required traditional mapping methods that scale such data may not yield the same structure for low involvement products as will a procedure like choice map that scales behavioral data choice map s descriptive and predictive validity exceeds that of an alternative stochastic brand choice model the dirichlet multinomial for a test data set

a unified approach to identifying estimating and testing demand structures with aggregate scanner data a one to one map between a specific demand structure and a restricted cross elasticity matrix is developed and tested using a random utility model the resulting demand structure can be used to evaluate a firm s ability to differentiate its products and can help determine if demand is characterized by factors that are easy to change similar brands are assumed to share common attributes that are stochastically evaluated by the consumer resulting in a random utility model with correlated errors the map results in more precise cross elasticity estimates and can be used to both identify and test possible structures

estimation of latent class models with heterogeneous choice probabilities an application to market structuring recently grover and srinivasan developed a latent class based approach to analyze market structure by using brand switching data the authors provide an iterative maximum likelihood procedure for

discrete choice models with multiple unobserved choice characteristics since the pioneering work by daniel mcfadden utility maximization based multinomial response models have become important tools of empirical researchers various generalizations of these models have been developed to allow for unobserved heterogeneity in taste parameters and choice characteristics here we investigate how rich a specification of the unobserved components is needed to rationalize arbitrary choice patterns in settings with many individual decision makers multiple markets and large choice sets we find that if one restricts the utility function to be monotone in the unobserved choice characteristics then up to two unobserved choice characteristics may be needed to rationalize the choices

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

the real exchange rate abstract this essay concerns the real value of the u s relative to the g 10 i what are the dynamics of the fundamental determinants of the real exchange rate and its steady state value ii to what extent are the observed movements in the exchange rate from 1973 to 1988 due to the fundamentals iii how integrated are international capital markets iv how does the real exchange rate respond to a changes in the cyclically adjusted government budget deficit and to b changes in the marginal efficiency of investment

estimating a multinomial probit model of brand choice using the method of simulated moments the multinomial probit model of brand choice is theoretically appealing for marketing applications as it is free from the independence of irrelevant alternatives property of the multinomial logit model however difficulties in estimation have restricted its widespread use in marketing this paper presents an application of the method of simulated moments a new methodology that enables easy estimation of probit models with a large number of alternatives in the choice set we describe the theoretical development of the technique and using pseudo simulated data conduct numerical experiments to compare the method with existing techniques for estimating probit models using the scanner panel data on the purchases of catsup we provide an empirical application of the method of simulated moments to the estimation of the parameters of a multinomial probit model estimating the covariance structure associated with the underlying latent variable probit model enables us to identify broad patterns of similarities across alternatives it also enables us to derive a pairwise similarity matrix across choice alternatives which when input into a multi dimensional scaling routine provides us with a graphical representation of competitive structure in the catsup market for completeness we compare the substantive implications for the effects of marketing variables obtained from the multinomial probit model with those obtained from models in the extant marketing literature

practice prize paper category optimizer a dynamic assortment new product introduction mix optimization and demand planning system the purpose of this paper is to describe the implementation of a category management tool known as category optimizer at foster s wine estates americas for one of its brands the beringer california collection foster s was facing a common management problem harnessing its portfolio of beringer california collection wines to increase profitability improve its competitive position and defend against a disruptive new entrant in the u s wine market called yellow tail category optimizer combines the parsimony of an internal market structure with the advances that have been made in assortment planning in operations research assortment and stock keeping unit level modeling mixed logits and the marketing literature on the perceptions of variety of assortment to develop and estimate a model on readily available store scanner data the model subsequently uses these results to inform strategic and tactical decision making this approach led to recommendations that initially seemed counterintuitive the normal response would be for foster s to consider lowering prices to maintain share and volume a strategy not inconsistent with many of the recommendations of past models however considering the additional degrees of freedom that a product range offered for defense we demonstrated that a combination of price increases together with the introduction of a volume flanker product in a new channel would improve profits increase revenue and protect and enhance market share these were successfully implemented in early 2008 earning rich dividends for the company increasing profitability by 70 revenue by 3 and earnings before interest and taxes by 8 5 and having a positive impact on its brand ranking in fact in 2008 it debuted as sixth among the international wine brands it also managed to play an important role in deposing yellow tail the market share leader from its dominant position we conclude the paper by providing examples of other companies where this approach has also been successfully implemented and by discussing some avenues for future research

practice prize reports the practice prize reports consist of one article with two parts as follows sinha ashish j jeffrey inman yantao wang joonwook park attribute drivers a factor analytic choice map approach for understanding choices among skus and tellis gerard j rajesh k chandy deborah macinnis pattana thaivanich modeling the microeffects of television advertising which ad works when where for how long and why

estimating demand heterogeneity using aggregated data an application to the frozen pizza category this paper combines different aggregate level data sets to identify new product demand in consumer packaged goods cpg categories our approach augments market level time series data with widely available summaries of household purchase behavior i e brand penetration and purchase set size data we show that this augmentation is helpful in the estimation of consumer heterogeneity for instance observing a brand with relatively large shares and low penetration typically indicates that preferences are dispersed with relatively few customers liking the brand a lot whereas the combination of share and penetration is informative about heterogeneity with realistic sample sizes in isolation neither variable may lead to precise estimates of heterogeneity in addition other widely available data e g category penetration is helpful in estimating the size of the total market using a large monte carlo study the paper demonstrates the benefits of the proposed approach in estimating model parameters price elasticities and brand switching empirically the approach is used to evaluate the launch of a new national brand digiorno in the frozen pizza category the new brand is inferred to be very successful at expanding the category while avoiding cannibalization of existing company share using only standard information i e market shares to estimate the demand model leads in our data to poor estimates of the degree of consumer taste variation and of switching to a new brand

estimation and welfare calculations in a generalized corner solution model with an application to recreation demand the kuhn tucker model of wales and woodland 1983 provides a utility theoretic framework for estimating preferences over commodities for which individuals choose not to consume one or more of the goods due to the complexity of the model however there have been few applications in the literature and little attention has been paid to the problems of welfare analysis within the kuhn tucker framework this paper provides an application of the model to the problem of recreation demand in addition we develop and apply a methodology for estimating compensating variation relying on monte carlo integration to derive expected welfare changes

a dynamic analysis of market structure based on panel data internal market structure analysis infers brand positions in an attribute space from preference and choice data given a market in which consumers have heterogeneous tastes for attributes previous market structure models have adopted a static framework e g elrod 1988 chintagunta 1994 elrod and keane 1995 furthermore they assumed that consumer perceptions of brand attributes do not vary across consumers yet these approaches may render inaccurate representations of market structure if there is state dependence in consumer choice behavior this paper attempts to incorporate consumer choice dynamics into market structure models by specifying the source of choice dynamics explicitly in particular the process by which past purchases affect current choices is modeled in a framework which captures both consumer habit persistence and variety seeking behavior more specifically consumer preferences for brand attributes are modeled to depend on the attributes of brands bought on the previous purchase occasion furthermore the modeling approach adopted incorporates heterogeneity in both consumer preferences and perceptions of brand attributes the audience of this paper includes practitioners and academics interested in understanding consumer choice processes and inferring market structure from consumer choice data the proposed models are estimated on nielsen scanner panel data for margarine peanut butter yogurt and liquid detergent using simulated maximum likelihood techniques the empirical results suggest that accounting for choice dynamics improves both in sample and out of sample fit the results indicate that the average consumer is habit persistent in all the product categories studied this result is consistent with the findings of kannan and sanchez 1994 who conducted an aggregate analysis of consumer variety seeking behavior across product categories however the results obtained in this paper suggest that consumers are heterogeneous with respect to the processes by which past purchases affect current purchases these results provide strong evidence for habit persistence and variety seeking in brand attributes to be the behavioral source of consumer choice dynamics in food categories thus consumer tastes utility weights seem to be affected by the attributes of the brands consumed in the past given the empirical result that a large proportion of consumers are habit persistent this suggests that tastes are reinforced by the brand attributes consumed in the past the empirical results also show that not accounting for state dependence in market structure models for panel data may produce misleading results that is depending on consumer behavior patterns models that do not account for state dependence may distort the true nature of competition among brands more specifically the results confirm the expectation that if there is habit persistence that is if consumer tastes are reinforced by attributes of brands consumed in the past models that do not capture this choice dynamics will overestimate the distance between similar brands furthermore the policy experiments conducted suggest that 1 static models overestimate the short run impact of a price cut on the sales of the brand on promotion 2 price cuts hurt the sales of the more similar brands more and 3 free samples affect relatively less similar brands the most finally this paper studies variety seeking and habit persistence across brands over purchase occasions however variety seeking behavior may also involve the purchase of a portfolio of brands or items at a purchase occasion consumers may buy multiple items knowing that prior to the next trip they may want to consume different items simanson 1990 walsh 1995 this type of behavior can be modeled within the context of dynamic expected utility maximization with forward looking consumers the development and estimation of market structure models that include forward looking consumers who maximize expected utility over a planning horizon incorporating their future tastes and needs and shopping for an inventory of brands remain an important future research issue

beyond the endogeneity bias the effect of unmeasured brand characteristics on household level brand choice models we investigate the role of potential weekly brand specific characteristics that influence consumer choices but are unobserved or unmeasurable by the researcher we use an empirical approach based on the estimation methods used for standard random coefficients logit models to account for the presence of such unobserved attributes using household scanner panel data we find evidence that ignoring such time varying latent to the researcher characteristics can lead to two types of problems first consistent with previous literature we find that these unobserved characteristics may lead to biased estimates of the mean price response parameters this argument is based on a form of price endogeneity if marketing managers set prices based on consumer willingness to pay then the observed prices will likely be correlated with the latent to the researcher brand characteristics we resolve this problem by using an instrumental variables procedure our findings suggest that simply ignoring these attributes may also lead to larger estimates of the variance in the heterogeneity distribution of preferences and price sensitivities across households this could overstate the benefits from marketing activities such as household level targeting we resolve the problem by using weekly brand intercepts embedded in a random coefficients brand choice model to control for weekly brand specific characteristics while accounting for household heterogeneity overall our results extend the finding on the endogeneity bias from the mean of the heterogeneity distribution i e the price effect to include the variance of that distribution

international migration remittances and schooling evidence from el salvador abstract we examine the effect of remittances from abroad on households schooling decisions using data for el salvador following the massive war related emigration of the 1980s remittances became a significant source of household income throughout the 1990s we use the cox proportional hazard model to examine the determinants of school attendance measuring income from a source that is uncorrelated with parental schooling remittances we find that remittances have a large significant effect on school retention we estimate that while household income net of remittances has a small though significant impact on the hazard of leaving school in rural and urban areas remittances have a much larger impact on the hazard of leaving school in urban areas the effect of remittances is at its smallest 10 times the size of the effect of other income in rural areas the effect of remittances is about 2 6 times that of other income our finding is of interest in that it suggests that subsidizing school attendance particularly in poor areas may have a large impact on school attendance and retention even if parents have low levels of schooling

symposium on spatial competition and the theory of differentiated markets inclusion of assumptions of the hotelling losch approach spatial price discrimination in the greenhut ohta approach analysis of quality choice spatial approach that typically implies partition of the buyers in sales areas which do not overlap from ebsco

exchange rate management under floating exchange rates abstract the purpose of this paper is to analyze the swiss approach to exchange rate management a number of difficulties are identified that have plagued the swiss national bank s efforts to reconcile its ultimate objective of a stable price level with its desire to moderate extreme exchange rate swings these difficulties are in turn analyzed within a rational expectations model of exchange rate determination although the model does not account for all these difficulties it does throw light on two important issues 1 the impact of a given change in the monetary base on the exchange rate is highly sensitive to the type of money supply strategy pursued by the bank 2 the objective of price stability is bound to conflict with the desire to stabilize the exchange rate the stronger the bank s commitment to price stability the weaker is the impact of temporary changes in the monetary base on the exchange rate

migration remittances and male and female employment patterns little is known about the labor market impacts of workers remittances despite their magnitude in countries with considerable outmigration reports that families receiving international remittances severely curtail their work efforts are fairly common in the popular press e g robert frank 2001 yet we lack rigorous analyses of how male and female labor supplies respond to increases in remittance income to either support or refute these anecdotal observations according to the neoclassical model of labor leisure choice mark r killingsworth 1983 remittances a source of nonlabor income may lift budget constraints raise reservation wages and through an income effect reduce the employment likelihood and hours worked by remittance receiving individuals the receipt of remittances is usually preceded by the out migration of working aged household members however which may induce changes in the labor supply of nonmigrating household members in order to compensate for forgone income or to defray migration related expenses distinguishing the disruptive effect from the income effect of remittance inflows is problematic as most surveys do not contain detailed information on household outmigration and remittance receipt to the extent that these two effects are expected to have opposite impacts on labor supply however we can assess which effect dominates the impact of remittances on the decision to work has been previously examined by edgard rodriguez and erwin r tiongson 2001 in manila and by edward funkhouser 1992 in managua without accounting for the endogeneity of remittances with respect to labor supply they conclude that remittances reduce employment funkhouser also finds that remittances slightly increase self employment while informative these studies focus on the decision to work and do not consider that without altering employment rates remittances may change the hours worked and or the type of work performed in the receiving economy furthermore the impact may be different on male and female labor supplies and responsiveness to remittance income may vary from rural to urban areas using data from mexico a country with a large and growing remittance inflow we address the following questions how does the employment status and hours worked by men and women vary owing to international remittances do male and female labor supplies differ across various types of employment in rural versus urban areas due to higher remittance inflows

modeling heterogeneity and state dependence in consumer choice behavior in frequently purchased consumer goods markets consumer brand choices exhibit substantial persistence across purchase occasions in this article i estimate a choice model that admits of both heterogeneity in preferences and true state dependence as sources of this persistence using nielsen scanner data on ketchup i find evidence for true state dependence in the choice process even after controlling for a rich heterogeneity structure simulation of the model indicates that the long term effect of a promotion induced purchase on future purchase probabilities is positive but small

the influence of individuals in forming collective household preferences for water quality preference for water quality and its nonmarket valuation can be used to inform the development of pricing policies and long term supply strategies tap water quality is a household concern the objective status quo of water provision varies between households and not between individuals within households while charges are levied on households not individuals individual preferences differ from collective preferences in households where there are two adults we examine the preferences of each separately and then as a couple in collective decisions we show the level of influence each has in developing the collective decision process we use discrete choice experiments to model preference heterogeneity across three experiments on women men and on both we propose a random utility model which decomposes the error structure in the utility of alternatives so as to identify the individual influence in collective decisions this approach to choice data analysis is new to environmental economics

observed and unobserved preference heterogeneity in brand choice models this paper extends the scanner based choice literature by explicitly incorporating individual level brand preference data we illustrate our model using a unique data set that combines survey and scanner data collected from the same individuals the addition of individual specific brand preference information significantly improves fit and prediction furthermore this observed heterogeneity better explains choice than does unobserved heterogeneity in the standard scanner model s parameters more importantly we find that the standard model underestimates the importance of consumers brand preferences and overestimates both brand loyalties and price sensitivities brand loyalty is overestimated because models without preference information confound state dependence heterogeneity and preference effects price sensitivities are inflated because the average preference based consumer is implicitly assumed to be more willing to switch from his preferred brand than is the real preference based consumer further standard models overestimate the heterogeneity in price and loyalty sensitivities and misidentify both price and loyalty sensitive consumers the managerial implications of our findings and the applicability of our methodology when survey data are collected infrequently and for only a subsample of consumers are pursued we demonstrate that even under these circumstances better populationwide pricing and promotion decisions are identified and more accurate targeting results

a dual approach to modeling corner solutions in recreation demand abstract the dual approach of lee and pitt to estimating demand systems for which individuals often choose not to consume one or more of the available goods provides a utility consistent framework for estimating preferences over visits to recreation sites because of the complexity of the model however this approach has not been applied in the recreation demand literature this paper provides the first application of the model to recreation demand and develops a methodology for conducting welfare analysis relying on monte carlo integration to derive estimates of compensating variation the methods are applied to the demand for fishing in the wisconsin great lakes region

recent estimates of time variation in the conditional variance and in the exchange risk premium abstract the optimal diversification model of investors portfolio behavior can give a linear relationship between the exchange risk premium and the conditional exchange rate variance this note surveys recent empirical work that allows the conditional variance itself and therefore the risk premium to vary over time in particular it examines the implications of recent empirical estimates for earlier arguments based on the assumption that the conditional variance was constant over time that the exchange risk premium had to be small in magnitude and variability

remittance outflows and inflation the case of the gcc countries abstract we examine the effect of remittance outflows on inflation in the remitting countries the growth of remittance outflows depresses inflation rate

dual equilibria and discontinuous response in monopolistic competition with two classes of consumers the possibility of a convex industry demand function s leading to two local profit maxima for a monopolist supplier is found to extend to a model of monopolistic competition where two classes of consumers are distinguished by their relative demand for the industry s products a long run free entry industry equilibrium is defined and discontinuous responses to changes in parameters are analyzed some applications are given and the existence of dual equilibria is shown to be a possibility

communicating policy options at the zero bound abstract this paper examines a special episode in communication practices of the swiss national bank snb when short term interest rates reached the zero bound non sterilized foreign exchange interventions were frequently mentioned as a potential instrument we ask how the financial markets responded to the snb s repeated references of non sterilized interventions the empirical results with high frequency data provide strong evidence that snb intervention references depreciated the domestic currency for several hours the case study supports the view that communication is an effective tool for monetary policy in unusual situations as well

interest rates and exchange rates under money supply targets the swiss evidence abstract short term effects of monetary policy on interest rates and exchange rates are evaluated with monthly and daily data for switzerland from 1974 to 1991 during this period the swiss national bank generally pursued a policy of targeting the money supply some evidence in favor of liquidity effects on interest rates is found the influence of changes in monetary aggregates is however not very strong both in terms of magnitude and explanatory power and depends on the time period investigated exchange rates do not react systematically to monetary policy actions

the switching effect of environmental taxation within bertrand differentiated duopoly we investigate second best optimal taxation of the polluting variety of a product in a bertrand duopoly with differentiated varieties the analysis provides novel insight on a useful social function of environmental regulation besides internalizing the environmental externality the taxation of the polluting variety improves the matching of consumers and product varieties and so creates a socially desirable business switching between the differentiated varieties

effect of remittances on poverty and financial development in sub saharan africa summary this paper assesses the effect of the steadily growing remittance flows to sub saharan africa though the region receives only a small portion of the total recorded remittances to developing countries and the volume of aid flows to sub saharan africa swamps remittances this paper finds that remittances which are a stable private transfer have a direct poverty mitigating effect and promote financial development these findings hold even after factoring in the reverse causality between remittances poverty and financial development the paper posits that formalizing such flows can serve as an effective access point for unbanked individuals and households

understanding reference price shoppers a within and cross category analysis abstract the authors attempt to draw profiles of reference price shoppers specifically the authors study how selected factors that affect brand choice are correlated with consumer sensitivity to gains and losses with respect to internal reference prices they also study the interaction between sociodemographics and gain and loss sensitivity furthermore the authors analyze cross category correlations in gain and loss sensitivity to shed light on their individual and category specific characters in three categories the results show significant heterogeneity in loss sensitivity among consumers and indicate that loss sensitivity is greater and more heterogeneous than gain sensitivity across categories the results show that loss sensitive shoppers are less influenced by past brand use and that both loss and gain sensitive shoppers more sensitive to price display and feature than the average consumer loss sensitive households tend to be larger and their heads are less likely to be fully employed

the influence of rebate programs on the demand for water heaters the case of new south wales this paper examines the role of australian hot water system rebate programs in shifting the existing stock of electric water heaters toward more climate friendly versions using two unique data sets from new south wales homeowners the first data set is based on a survey of households who recently purchased a water heater before and after the rebate programs were in place the other is based on a set of stated preference questions asked of households soon to face a replacement decision while the former allows us to look at recent responses the latter enables us to forecast future demand we find that the programs significantly increase shares of solar heat pump systems the programs however appear less effective in reducing the stock of electric heaters for households with access to natural gas this pattern is consistent in both datasets results from the discrete choice experiments suggest considerable heterogeneity with respect to household preferences toward different types of water heaters and the discount rates they hold the effective cost of reducing carbon emissions via incentives for water heater replacement is considered from the counterfactual perspective of no government incentives

the evolution of internal market structure we present a dynamic factor analytic choice model to capture evolution of brand positions in latent attribute space our dynamic model allows researchers to investigate brand positioning in new categories or mature categories affected by structural change such as entry we argue that even for mature categories not affected by structural change the assumption of stable attributes may be untenable we allow for evolution in attributes by modeling individual level time specific attributes as arising from dynamic means the dynamic attribute means are modeled as a bayesian dynamic linear model dlm the dlm is nested within a factor analytic choice model our approach makes efficient use of the data by leveraging estimates from previous and future periods to estimate current period attributes we demonstrate the robustness of our model with data that simulate a variety of dynamic scenarios including stationary behavior we show that misspecified attribute dynamics induce temporal heteroskedasticty and correlation between the preference weights and the error term applying the model to a panel data set on household purchases in the malt beverage category we find considerable evidence for dynamics in the latent brand attributes from a managerial perspective we find advertising expenditures help explain variation in the dynamic attribute means