semiparametric estimation and consumer demand this paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand the application is to the estimation of the engel curve relationship and uses the british family expenditure survey household composition is modelled using an extended partially linear framework this is shown to provide a useful method for pooling non parametric engel curves across households of different demographic composition c 1998 john wiley sons ltd

an analysis of substitution bias in measuring inflation 1959 851 we analyze the substitution bias in laspeyres type price indexes such as the cpi using 1959 1985 nipa consumption data for 101 commodities we employ two methodological approaches to calculation of the bias first we construct the tightest theoretical bounds on the col by applying nonparametric methods using algorithms developed by afriat and by varian second following diewert we construct superlative price index formulas namely tomqvist and fisher s ideal indexes under a chain as well as a fixed base specification homothetic preferences are found to be consistent with the data and sensitivity tests indicate that this result is not vacuous if the hypothesis of homotheticity is maintained the col bias has upper and lower limits of 0 22 and 0 14 percent per year respectively using the superlative indexes as the measure of the col the bias is about 0 18 percent per year for the period 1959 85 this estimate is somewhat larger than found in earlier studies our use of more disaggregated data is found to be responsible for part of the difference with the size of the estimated bias directly related to the extent of the aggregation

an experiment on the pure theory of consumer s behaviour by checking whether consumer demand satisfies the axioms of revealed preference one can test the empirical validity of the neoclassical theory of consumer behaviour however applying the axioms to actual consumer purchase data is difficult if not impossible since it poses serious problems of both a methodological and a practical nature after commenting on the few existing empirical studies in this field we summarise the results from an experimental approach to revealed preference theory data were obtained through a controlled experiment that involved real consumption of the goods chosen we find that most subjects violated the axioms

best nonparametric bounds on demand responses this paper uses revealed preference inequalities to provide the tightest possible best nonparametric bounds on predicted consumer responses to price changes using consumer level data over a finite set of relative price changes these responses are allowed to vary nonparametrically across the income distribution this is achieved by combining the theory of revealed preference with the semiparametric estimation of consumer expansion paths engel curves we label these expansion path based bounds on demand responses as e bounds deviations from revealed preference restrictions are measured by preference perturbations which are shown to usefully characterize taste change and to provide a stochastic environment within which violations of revealed preference inequalities can be assessed

non parametric tests of consumer behaviour the neoclassical model of consumer behaviour postulates that a consumer s choice behaviour can be described as deriving from utility maximization subject to a budget constraint one is then naturally led to ask what this model implies about observed behaviour this question has been addressed from two quite distinct approaches the first approach originating in the work of slutsky 1915 and antonelli 1886 derives necessary and sufficient conditions involving the derivatives of the demand functions the second approach originating in the work of samuelson 1938 1947 1948 derives algebraic conditions on the demand functions implied by maximizing behaviour

consumer behaviour theory and empirical evidence a survey this survey is designed to emphasize the relationship between empirical a nd theoretical considerations in the analysis of consumer behavior a lthough it focuses primarily on analysis at the individual or micro l evel it tries where possible to draw implications for the estimati on of aggregate relationships the importance of micro level analysis stems from the rapid expansion in available panel and survey data se ts this development has generated its own theoretical and empirical issues many of which are raised in this survey copyright 1988 by royal economic society

demand systems with and without errors revealed preference theory assumes that each consumer has demands that are rational meaning that they arise from the maximization of his or her own utility function in contrast econometric or statistical demand models assume that each consumer s demands equal a rational systematic component derived from a common utility function plus an individual specific additive error term this paper reconciles these differences by providing necessary and sufficient conditions for rationality of statistical demand models given individual consumer rationality

how revealing is revealed preference this lecture address the following two key criticisms of the empirical application of revealed preference theory when the rp conditions do not reject they do not provide precise predictions and when they do reject they do not help characterize the nature of irrationality or the degree direction of changing tastes recent developments in the application of rp theory are shown to have rendered these criticisms unfounded a powerful test of rationality is available that also provides a natural characterization of changing tastes tight bounds on demand responses and on the welfare costs of relative price and tax changes are also available and are shown to work well in practice

nonparametric engel curves and revealed preference this paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference the tightest bounds on indifference surfaces and welfare measures are derived using an algorithm for which revealed preference conditions are shown to guarantee convergence nonparametric engel curves are used to estimate expansion paths and provide a stochastic structure within which to examine the consistency of household level data and revealed preference theory an application is made to a long time series of repeated cross sections from the family expenditure survey for britain the consistency of these data with revealed preference theory is examined for periods of consistency with revealed preference tight bounds are placed on true cost of living indices

a household based nonparametric test of demand theory a nonparametric test of demand theory determining the consistency of price expenditure data with the generalized axiom of revealed preference is applied to household macroeconomic data for the first time the fraction of consumption bundle comparisons that violate the generalized axiom of revealed preference is proposed as a summary statistic to indicate the consistency of a data set with revealed preference axioms this violation rate is calculated among consumption pairs with similar expenditures to increase the power of the test the results suggest that similar households consumption choices and budget constraints are generally consistent with the joint hypotheses of optimizing behavior and common preferences copyright 1995 by mit press

tax reform and welfare measurement do we need demand system estimation the exact measurement of the welfare costs of tax and price reform requires a detailed knowledge of individual preferences typically first order approximations of welfare costs are calculated avoiding detailed knowledge of substitution effects the authors derive second order approximations which unlike first order approximations require knowledge of the distribution of substitution elasticities this paper asks to what extent simple approximations can be used to measure the welfare costs of tax reform and evaluates the magnitude of the biases for a plausible size tax reform in the authors empirical examples first order approximations display systematic biases second order approximations always work well

the effects of male and female labor supply on commodity demands we examine the effects of male and female labor supply on household demands and present a simple and robust test for the separability of commodity demands from labor supply using data on individual households from six years of the uk fes we estimate a demand system for seven goods which includes hours and participation dummies as conditioning variables allowance is made for the possible endogeneity of these conditioning labor supply variables we find that separability is rejected furthermore we present evidence that ignoring the effects of labor supply leads to bias in the parameter estimates

country of origin labeling for complex supply chains the case for labeling the location of different supply chain links we investigate the value of a country of origin label cool that separately identifies the geographic location of different stages in a food product s supply chain we estimate the willingness to pay wtp of u s consumers for a packaged cereal product where the key grain ingredient may be grown in one country and processed in a second country multicountry supply chain and compare it to equivalent products that have both stages located in a single country we find consumer wtp for products with single country and multicountry supply chains are statistically different meaning that simplifying a multicountry label by listing only the country where the ingredients are grown or only the country where the ingredients are processed can result in different consumer values we also find that for countries with a poor quality reputation consumers respond more negatively when that country has the last touch than when that country s involvement is limited to upstream supply chain links

improving revealed preference bounds on demand responses there are three key dimensions by which revealed preference bounds on consumer demand responses can be improved the first relates to the improvements that arise from using expansion paths for given relative prices e bounds the second concerns the addition of new price information thirdly there are improvements due to assuming separability our previous research has examined the first two cases in this article we show how to impose separability assumptions within a fully nonparametric analysis and distinguish between weak and homothetic separability we also apply these ideas to the analysis of demand responses using united kingdom household level data

are patient regarding preferences stable evidence from a laboratory experiment with physicians and medical students from different countries abstract we quantify patient regarding preferences by fitting a bounded rationality model to data from an incentivized laboratory experiment where chinese medical doctors german medical students and chinese medical students decide under different payment schemes we find a remarkable stability in patient regarding preferences when comparing subject pools and we cannot reject the hypothesis of equal patient regarding preferences in the three groups the results suggest that a health economic experiment can provide knowledge that reach beyond the student subject pool and that the preferences of decision makers in one cultural context can be of relevance in a very different cultural context

presidential address how revealing is revealed preference this lecture address the following two key criticisms of the empirical application of revealed preference theory when the rp conditions do not reject they do not provide precise predictions and when they do reject they do not help characterize the nature of irrationality or the degree direction of changing tastes recent developments in the application of rp theory are shown to have rendered these criticisms unfounded a powerful test of rationality is available that also provides a natural characterization of changing tastes tight bounds on demand responses and on the welfare costs of relative price and tax changes are also available and are shown to work well in practice jel

more information is not always better the case of voluntary provision of environmental quality this paper adds to the literature on the voluntary provision of public goods by showing that the warm glow that individuals gain depends on the perceived relative effectiveness of contributions we use a new survey on pro environment behaviors attitudes and knowledge and find that individuals act in accordance with their beliefs regardless of whether or not these beliefs are accurate and engage more frequently in activities that have a higher perceived impact on environmental quality we find that low provision of the public good is greater among people who believe they cannot do much for the environment and do not consider themselves environmentalists

the cost of living with the rpi substitution bias in the uk retail prices index this paper uses revealed preference restrictions and nonparametric statistical methods to bound the true cost of living index which corresponds most closely to the uk retail prices index rpi this is used to assess the rpi formula for substitution bias we show that neither the direction nor the existence of bias in the rpi forumla can be established on a priori theoretical grounds however we find empirical evidence of a variable but generally positive bias in the rate of inflation recorded by the rpi formula

nonparametric estimation of exact consumers surplus and deadweight loss we apply nonparametric regression models to estimation of demand curves of the type most often used in applied research from the demand curve estimators we derive estimates of exact consumers surplus and deadweight loss which are the most widely used welfare and economic efficiency measures in areas of economics such as public finance we also develop tests of the symmetry and downward sloping properties of compensated demand we work out asymptotic normal sampling theory for kernel and series nonparametric estimators as well as for the parametric case the paper includes an application to gasoline demand empirical questions of interest here are the shape of the demand curve and the average magnitude of welfare loss from a tax on gasoline in this application we compare parametric and nonparametric estimates of the demand curve calculate exact and approximate measures of consumers surplus and deadweight loss and give standard error estimates we also analyze the sensitivity of the welfare measures to components of nonparametric regression estimators such as the number of terms in a series approximation

the random utility hypothesis and inference in demand systems in this paper the authors examine the consequences of adopting the random utility hypothesis as an approach for randomizing a system of demand equations random utility models are appealing since they allow the usual assumption of deterministic utility maximizing behavior by each consumer to coexist with the apparent randomness across individuals that is exhibited by data their results show that the use of random utility models implies that the disturbances of the demand equations may not be homoskedastic but must be functions of prices and or income copyright 1989 by the econometric society

what do we learn about consumer demand patterns from micro data the aim of this paper is to assess the importance of using micro level data in the econometric analysis of consumer demand to do this we utilize a time series of repeated cross sections covering some 4 000 households in each of 15 years employing a number of different aggregation procedures we conclude that aggregate data alone are unlikely to produce reliable estimates of structural price and income coefficients however once certain aggregation factors as well as trend and seasonal components are included an aggregate model is not necessarily outperformed across all demand equations in terms of forecasting ability jel d12 c52 c31 the purpose of this paper is to develop a complete consumer demand system based on a time series of individual household data and to use it to measure the biases introduced into the study of consumer de mand behavior when aggregate data are used in place of the appropriate microeco nomic data we assess the suitability of ag gregate data through the impact on income and price elasticities and by evaluating the ability of both micro and aggregate based models to forecast aggregate consumer de mand the biases introduced by the use of aggregate data depend upon the way that household characteristics interact with in come and price effects and on departures of demand systems from linearity we explore the structure of microeconomic demand sys tems and the role of household characteris tics in the behavior of consumer demand both for the light this may shed on the pattern of future demands and for the im plications this behavior has for issues of aggregation consumer demand patterns typically found in micro data sets vary considerably across households with different household characteristics and with different levels of income we model this variability by making intercept and slope parameters in the budget share equations of our demand sys tem depend on household characteristics and by allowing for nonlinear total log expenditure terms in fact in theory consistent demand systems it is total ex penditure rather than disposable income that is allocated across goods we find that this general framework leads to a well specified data coherent demand system which is a quadratic extension of the popu lar almost ideal model of angus s deaton and john muellbauer 1980 the micro level estimates are shown to be sensitive to the treatment of endogeneity of total expen diture and to the specification of interaction terms with household characteristics in ad dition this specification is also shown to possess many attractive features for the evaluation of aggregate models

quadratic engel curves and consumer demand this paper presents a model of consumer demand that is consistent with the observed expenditure patterns of individual consumers in a long time series of expenditure surveys and is also able to provide a detailed welfare analysis of shifts in relative prices a nonparametric analysis of consumer expenditure patterns suggests that engel curves require quadratic terms in the logarithm of expenditure while popular models of demand such as the translog or the almost ideal demand systems do allow flexible price responses within a theoretically coherent structure they have expenditure share engel curves that are linear in the logarithm of total expenditure we derive the complete class of integrable quadratic logarithmic expenditure share systems a specification from this class is estimated on a large pooled data set of u k households models that fail to account for engel curvature are found ro generate important distortions in the patterns of welfare losses associated with a tax increase