ambiguity aversion and the preference for established brands we propose that ambiguity aversion as introduced in the literature on decision making under uncertainty drives a preference for established brands in multiattribute choices among branded alternatives established brands are those for which belief in quality is held with greater confidence even if specific attributes might be inferior to those of competing less established brands in five experiments we examine the role of ambiguity aversion in the preference for dominated established brands we first show a correlation between ambiguity aversion revealed through choices among monetary lotteries and the preference for established brands we then show that the preference for established brands is enhanced when ambiguity aversion is made more salient in unrelated preceding lottery choices thus ambiguity aversion carries across choices in addition ambiguity aversion and the preference for established brands are both enhanced when subjects anticipate that others will evaluate their lottery choices finally ambiguous information about brand attributes tends to increase the preference for established brands

testing for preference change in consumer demand an indirectly separable semiparametric model this article considers the hypothesis that preference changes may partly explain observed consumption patterns a model is developed based on indirect weak separability the kernel estimator of the regression function models the unknown shape of demand functions and a parametric structure models seasonality dynamics and preference change this semiparametric specification is applied to u s meat demand the results support the notion that changes in consumer preferences due to consumers awareness of the health hazards of cholesterol and saturated fat intake may explain an increased consumption of white meat and a decreased consumption of red meat

the role of market forces in assuring contractual performance the conditions under which transactors can use the market repeat purchase mechanism of contract enforcement are examined increased price is shown to be a means of assuring contractual performance a necessary and sufficient condition for performance is the existence of price sufficiently above salvageable production costs so that the nonperforming firm loses a discounted steam of rents on future sales which is greater than the wealth increase from nonperformance this will generally imply a market price greater than the perfectly competitive price and rationalize investments in firm specific assets advertising investments thereby become a positive indicator of likely performance

estimation of moments and production decisions under uncertainty the purpose of this paper is to examine production decisions under output price uncertainty using a nonparametric estimation technique to estimate the first four moments of the unknown price distribution and applying duality we provide a simple empirical framework for the analysis of supply and demand decisions under price uncertainty the model is used to examine the importance of higher moments in the firm s production decisions and to investigate underlying attitudes toward risk

tax competition in federations revisited we extend keen and kotsogiannis 2002 2004 by considering all purpose public goods that are beneficial to both producers and consumers horizontal externality resp vertical externality exerted by tax competition will not necessarily lead to inefficient outcomes

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

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 stochastic approach to price index numbers an expository note abstract the present paper provides an objective basis for selecting the best among four commonly used price index numbers namely the laspeyres price index the paasche price index the simple aggregative price index and the simple arithmetic mean of price relatives the criterion is developed within a stochastic framework that also enables researchers to test hypotheses about the index numbers themselves the paper also provides nonparametric interpretations of these indices

all things considered the role of choice set formation in diversification abstract the diversification effect a tendency toward greater variety as multiple choices are made simultaneously in advance of consumption is a robust and important phenomenon researchers have typically explained the diversification effect in terms of differences in the process by which people select items from among those available this precludes the possibility that the locus of the effect lies in people s choice sets themselves that is how people decide which options to consider when making choices the authors examine the effects of set formation using an experimental choice sequence task and conjoined stochastic model of set formation and conditional choice the findings demonstrate that set formation plays a critical role in diversification previously chosen options are indeed discounted but only for simultaneous choices and only in the set formation portion of the model furthermore the expected number of choice set items is substantially greater in multiple versus single item choice s

addressing preference heterogeneity multiple scales and attribute attendance with a correlated finite mixing model of tap water choice unobserved heterogeneity of error scale in choice models is a recent extension of the better investigated issue of heterogeneity of taste intensity it is achieved by fitting choice panel data with specifications that simultaneously handle inter personal variation in scale and taste the aim is to separate differences in preference intensities across respondents from differences in the degree of consistency in choice behaviour or preference discrimination while accounting for correlation between the two another recent substantive issue in choice data analysis is attribute non attendance we develop a finite mixing model to address simultaneously the three issues above we empirically prove the concept on stated preference data related to tap water attributes in a study for industry regulation

choice set formation for outdoor destinations the role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas effective public expenditure currently dominates the management focus of many protected areas this calls for explicit modeling of constraints and motivations that respectively obstruct and stimulate visits to selected outdoor destinations choice set formation is the result of screening and or inclusion of specific sites alternatives to form the set of sites considered in real choices evidence shows that the omission of a structural representation of choice set formation is harmful to econometric inference yet the literature has largely ignored the underlying behavioral phenomenon we show using a discrete choice experiment involving selection among seven recreational sites in an italian national park that choice set formation is behaviorally relevant even after controlling for preference discrimination motivations why visit are important determinants of preliminary site screening for choice set inclusion as well as site selection justifying the additional value of such modeling extension

does federalism lead to excessively high taxes the relative strengths of vertical and horizontal tax externalities turn on the balance between the interest responsiveness of the supply of savings and demand for capital the extent to which immobile factors are taxed by the states and the strength of preferences between federal and state expenditures the vertical externality will dominate if the aggregate tax base of the federation is responsible to the state tax instrument tax interactions in federations are more complex than has often been supposed

seminonparametric estimation of conditionally constrained heterogeneous processes asset pricing applications the overidentifying restrictions of the intertemporal capital asset pricing model are usually rejected when tested using data on consumption growth and asset returns particu larly when additively separable constant relative risk utility is attributed to the representa tive agent this article investigates the extent to which specification error can explain these rejections the empirical strategy is limited information maximum likelihood in conjunc tion with seminonparametric expanding parameter space representations for both the law of motion and utility we find that consumption growth and asset returns display conditional heterogeneity but this fact does not account for rejection of the overidentifying restrictions as might be anticipated from the work of hansen singleton and others using generalized method of moments methods we also find that expansion of the parameter space in the direction of nonseparable utility causes the overidentifying restrictions to be accepted our estimation strategy provides information on the manner in which the restrictions distort the law of motion in particular imposition of additively separable constant relative risk aversion utility causes the conditional variance of consumption growth to be overpredicted the conditional covariance of asset returns with consumption growth to be overpredicted and an equity premium imposition of nonseparable seminon parametric utility causes distortion in these same directions though the distortions are much smaller which is consistent with the outcomes of the tests of the restrictions

brand effects on choice and choice set formation under uncertainty this paper examines the effects of brand credibility a central concept in information economics based approaches to brand effects and brand equity on consumer choice and choice set formation we investigate the mechanisms through which credibility effects materialize namely through perceived quality perceived risk and information costs saved the credibility of a brand as a signal is defined as the believability of the product position information contained in a brand which depends on consumer perceptions of the willingness and ability of firms to deliver what they have promised the choice set is defined as the collection of brands that have a nonzero probability of being chosen among those actually available for choice in a given context furthermore we study the impact of brand credibility on the variance of the stochastic component of utility not only do choice model parameters capture the impact of systematic utility differences on choice probabilities but also the magnitude of this systematic impact is moderated by the relative importance of the stochastic utility component in preference we term this moderation phenomenon preference discrimination which we conceptualize as the decision makers capacity to effectively discriminate between products utilities in choice situations we estimate a discrete choice model of brand choice set formation and preference discrimination on experimental data in two categories juice and personal computers and find strong evidence for brand credibility effects and differential mechanisms through which brand credibility s impact materializes on brand choice conditional on choice set choice set formation and preference discrimination

tax competition and leviathan abstract attitudes towards downward pressure on tax rates from international tax competition depend on attitudes towards government this paper synthesises the two extremes which as in other areas of public finance have dominated the debate typically being presented as stark alternatives the view of government as a leviathan from which tax competition emerges as a useful constraint on policy makers and the view of government as a benevolent maximiser of their citizens welfare from which it emerges as a source of inefficiency conditions are derived under which when policy makers are neither entirely benevolent nor wholly self serving tax coordination benefits the representative citizen

a survey of some recent econometric methods this survey is written mainly for the applied economist though we hope that the specialist econometrician will find something of interest too our aim has been to try to bring the applied worker as up to date as possible and in the process to improve the quality of applied work by providing access to the latest ideas in econometrics we have tried to describe and explain in a relatively non technical way the main developments that have taken place in the last ten years partly for reasons of space the survey is by no means exhaustive but it does cover a wide range of topics in both time series and cross section analysis among the subjects covered are the followoing the nature of data including integrated and fractionally integrated data four estimation methods maximum likelihood method of moments m estimators and non parametric estimation inference with stationary and integrated regressors a comparison of various model evaluation principles the formulation of models including dynamic specification cointegration and conditional expectations in mean and variance copyright 1989 by royal economic society

the econometric analysis of models with risk terms summary in this paper we have attempted to provide an integrated approach to the estimation of models with risk terms it was argued that there exist orthogonality conditions between variables in the information set and higher order moments of the unanticipated variable density these could be exploited to provide consistent estimators of the parameters associated with the risk term specifically it was recommended that an iv estimator should be applied with instruments constructed from the information set four existing methods commonly used to estimate models with risk terms are examined and applications of the techniques are made to the estimation of the risk term in the us c exchange market and the effects of price uncertainty upon production

vertical tax externalities and the composition of public spending in a federation abstract dividing tax power between different levels of government in a federation is shown to lead not only to overtaxation but also distorts the composition of state and federal public spending

capturing context sensitive information usage in choice models via mixtures of information archetypes abstractthe authors offer a new conceptualization and operational model of consumer choice that allows context sensitive information usage and preference heterogeneity to be separately and simultaneously captured thus transforming the axiom of full information use into a testable hypothesis a key contribution of the proposed framework is the integration of two previously disjointed and often antagonistic research paradigms 1 the economic rationality perspective which assumes stable preferences and full information usage and 2 the psychological bounded rationality perspective which allows context sensitive preferences and information selectivity the authors demonstrate that the two paradigms can and do coexist in the same decision making space even at the level of individual consumer choices the proposed information archetype mixture model is tested in four studies that span different product categories and levels of task complexity the findings have ramifications for choice modeling theory a

electronic tickets smart cards and online prepayments when and how to advance sell advance selling occurs when sellers allow buyers to purchase at a time preceding consumption shugan and xie 2000 electronic tickets smart cards online prepayments and other technological advances make advance selling possible for many if not all service providers these technologies lower the cost of making complex transactions at a greater distance from the seller s site they also give sellers more control over advance selling by decreasing arbitrage as technology enhances the capability to advance sell more academic attention is vital this paper strives to exploit these technologies by developing advance selling strategies until recently advance selling research focused on the airline industry and specific characteristics of that industry these characteristics included the price insensitivity of late arrivals e g business travelers compared with early arrivals e g leisure travelers demand uncertainty across flights on the same day and capacity constraints recent findings by shugan and xie 2000 show that advance selling is a far more general marketing tool than previously thought it does not require these industry specific characteristics it only requires the existence of buyer uncertainty about future valuations moreover sellers without the ability to price discriminate can use advance selling to improve profits to the level of first degree price discrimination this finding is important because buyers are nearly always uncertain about their future valuations for most services e g the utility of next year s vacation or a future college education in this paper we take the next step from shugan and xie 2000 we show that advance selling profits do not come from buyer surplus but from more buyers being able to purchase we determine when and how to advance sell in a variety of situations including situations with limited capacity second period arrivals refunds buyer risk aversion exogenous credibility continuous preference distributions and premium pricing we determine when advance selling improves profits and when it does how to set advance prices we ask and answer seven questions first when should sellers advance sell second how much can advance selling improve profits compared with only spot selling third what factors impact the profitability of advance selling and how fourth should advance prices be higher or lower or the same as spot prices fifth how do capacity constraints impact advance selling strategies sixth should sellers limit the number of advance sales finally what is the possible impact of buyer risk aversion first we provide precise conditions when sellers should advance sell for example without capacity constraints we show that sellers should advance sell when marginal costs are sufficiently low to make it profitable to sell to buyers with low valuations and sufficiently high to convince buyers that the spot price will be higher than the advance price second we find that advance selling can almost double the profits from optimal spot selling to early arrivals we also show that advance selling has no impact on consumer surplus in markets with homogenous consumers and no capacity constraints therefore advance selling can increase social welfare because seller profits increase third we find that two very important factors impacting the profitability of advance selling are seller credibility and marginal costs buyers only advance buy when they expect an advantage from advance buying over spot buying without capacity constraints sellers must credibly convince buyers that the advance price is at a discount to the spot price we show that this condition is met under different circumstances for example large marginal costs can create credibility because buyers believe that these costs will lead to high spot prices fourth we find although optimal advance prices can be at a discount to the spot price that sometimes a premium is optimal premiums are optimal when capacity is large but limited and marginal costs are not too large buyers advance purchase at a premium to spot prices when capacity is limited and spot prices are low note that this is not a risk premium and risk aversion is not required no prior research has suggested this strategy because that research relies on the assumption that early arrivals are more price sensitive than later ones without that assumption premium advance pricing is sometimes optimal fifth we find that binding capacity constraints can impact the profitability of advance selling in opposite ways on one hand capacity constraints create seller credibility buyers believe that spot prices will be high when they know spot capacity is limited and perhaps more limited by advance sales on the other hand when capacity is limited the need to increase sales from discounted advance prices diminishes sixth consistent with desiraju and shugan 1999 we find that limiting advance sales can be profitable but only under restrictive conditions these conditions are 1 selling to all early arrivals would leave insufficient capacity in the spot period to sell to all second period arrivals with high valuations 2 the optimal spot price is high and 3 marginal costs are sufficiently small to make advance selling profitable finally we find that buyer risk aversion can sometimes increase the profitability of advance selling our findings provide precise guidelines for a large number of service providers that will have the technical capability to advance sell for those service providers advance selling provides a creative pricing strategy that can potentially provide substantial improvements in profits

kernel smoothed consumption age quantiles in earlier work the authors explored life cycle consumption profiles of canadian married couple families that research concluded that the common presumption in simulation models of upward sloping consumption age profiles accompanied by dissaving in retirement could not be supported in canadian data here the authors continue to explore the shape of the consumption age profile by nonparametric techniques they have developed these techniques allow them to estimate profiles in a manner that does not depend on assumptions about functional form in particular the authors estimate the median and other quantiles of the consumption distribution conditional on age broadly speaking the authors confirm their earlier results

umbrella branding as a signal of new product quality an example of signalling by posting a bond i present a signalling model in which a multiproduct firm can use its reputation as a bond for quality by using a brand name for an established product when it introduces a new experience good as out of equilibrium beliefs are specified a false signal may be taken to imply that both the established and the new product are of low quality in contrast the absence of a signal leaves open the possibility that one of the two products is of high quality hence the signal can be credible without excessive sunk costs as long as the bond posted is sufficiently large

price uncertainty and consumer search a structural model of consideration set formation we offer an econometric framework that models consumer s consideration set formation as an outcome of her costly information search behavior because frequently purchased products are characterized by frequent price promotions of varying depths of discounts a consumer faces significant uncertainty about the prices of the brands the consumers engage in a fixed sample search strategy that results in their discovering the posted prices of a subset of the available brands this subset is referred to as the consumer s consideration set the proposed model is estimated using the scanner data set for liquid detergents our key empirical results are i consumers zincur significant search costs to discover the posted prices of the brands ii whereas in store displays and feature ads do not influence consumers quality perceptions of the brands they significantly reduce search costs for observing the prices of the brands iii per capita income of consumer s household significantly increases her search costs and iv the consumers price sensitivity is seriously underestimated if we were to assume that consumers get to know all the posted prices at zero cost the proposed model is also estimated for the ketchup category to enable us to do cross category comparisons of consumers price search behavior

non parametric estimation of econometric functionals in this paper we have reviewed and explored the non parametric density estimation approach for analysing various econometric functionals the applications of density estimation have been emphasized in the specification estimation and testing problems arising in econometrics some limitations of the non parametric approach are also examined and potential future areas of applied and theoretical research have been indicated