Price discrimination and efficient matching

This paper considers the problem of a monopoly matchmaker that uses a schedule of entrance fees to sort different types of agents on the two sides of a matching market into exclusive meeting places, where agents randomly form pairwise matches. We make the standard assumption that the match value function exhibits complementarities, so that matching types at equal percentiles maximizes total match value and is efficient. We provide necessary conditions and sufficient conditions for the revenue-maximizing sorting to be efficient. These conditions require the match value function, modified to incorporate the incentive cost of eliciting private type information, to exhibit complementarities in types.JEL Clalssification Numbers C7, D4We thank Jonathan Levin, Tracy Lewis, and the seminar audience at University of California at Los Angeles, University of British Columbia, Duke University, and 2003 Econometric Society North American Summer Meeting for comments and suggestions. We are also grateful for helpful suggestions from the referees and the Editor     

Cross-sectional earnings risk and occupational sorting: The role of risk attitudes

This paper investigates to what extent individuals' risk preferences are correlated with the cross-sectional earnings risk of their occupation. We exploit data from the German Socio-Economic Panel, which contains a direct survey question about willingness to take risks that has been shown to be a behaviorally valid measure of risk aversion. As a measure of earnings risk, we use the cross-sectional variation in earnings that is left unexplained by human capital variables in Mincerian wage regressions. Our evidence shows that individuals with low willingness to take risks are more likely to work in occupations with low earnings risk. This pattern is found regardless of the level of occupation categories, region, gender and labor market experience.     

城市生活垃圾困境与制度创新——以台北市生活垃圾分类收集管理为例

我国许多城市正面临“垃圾围城”困境,这种困境其实并非城市化的必然结果,困境的根源在于我国城市生活垃圾管理的制度缺失.制度缺失既包括我国城市垃圾分类收集方面的法律缺乏明确而可操作性的权利义务界定,也包括垃圾收费制度没有体现“多排放垃圾多付费”的原则,致使我国城市生活垃圾的分类收集成效甚微.我国台北市将垃圾分类收集与垃圾费...     

Consumer sorting and hedonic valuation of wine attributes: exploiting data from a field experiment

This article uses a novel experimental approach to measure consumer willingness to pay (WTP) for wine attributes. We invited customers of a local supermarket who had selected a bottle of wine to purchase to participate in a valuation experiment. Integrating their original wine choice into the experiment, each participant evaluated six alternative wines, generating a rich set of data on willingness to pay and consumer characteristics. The data from the experiment allow us to compare standard shelf price‐based wine attribute valuation estimates with estimates using WTP data and an increasing amount of information about individual consumers. The full model employs individual fixed effects to estimate WTP parameters without bias from consumer sorting or supply side influences. Our WTP estimates for wine attributes differ markedly from previous attribute value estimates. Consumers in our sample display clear and stable preferences for wine varieties, but less clear preferences for appellations. Our results suggest caution is needed in using market prices to estimate parameters of the consumer valuation function for product attributes.     

Simple Decision Aids and Consumer Decision Making

To help consumers deal with increasing amounts of information, many online retailers offer simple decision aids, such as the ability to sort on a particular attribute or eliminate undesired alternatives. The authors propose that consumers use simple decision aids as substitutes for cognitive effort, potentially with adverse consequences for decision making. An experimental study shows that providing unrestricted sorting increases decision quality only when choice conflict is low; beyond a certain point, greater use of the decision aid is associated with declines in decision quality. A second study shows that that allowing consumers to sort alternatives only one time enhances decision quality and, when choice conflict is high, reduces decision effort. A third study shows that providing elimination as well as sorting tools helps mitigate the negative effects of simple decision aids. Although the availability of sorting alone hurts decision quality when choice conflict is high, decision quality under choice conflict is improved when both sorting and elimination tools are provided. Implications for retail practice are discussed.     

What drives racial segregation? New evidence using Census microdata

Using restricted Census microdata that link households to the Census block in which they live, this paper re-examines the question of whether racial differences in sociodemographic characteristics can explain observed levels of racial segregation. We develop a simple measurement framework designed to make use of the rich joint distribution of individual and neighborhood characteristics that these data provide, analyzing segregation patterns in the San Francisco Bay Area. The results indicate that racial differences in the collective set of characteristics we consider do have the potential to explain a considerable amount of the observed segregation, although more so for Asians and especially Hispanics than whites and blacks. Different sociodemographic factors emerge as potentially important for each race.     

A new clustering methodology for the analysis of sorted or categorized stimuli

This paper introduces a new stochastic clustering methodology devised for the analysis of categorized or sorted data. The methodology reveals consumers' common category knowledge as well as individual differences in using this knowledge for classifying brands in a designated product class. A small study involving the categorization of 28 brands of U.S. automobiles is presented where the results of the proposed methodology are compared with those obtained from KMEANS clustering. Finally, directions for future research are discussed. Wayne S. DeSarbo is the S. S. Kresge Distinguished Professor of Marketing and Statistics, and Michael D. Johnson is Associate Professor of Marketing, both at the University of Michigan's School of Business Administration. Kamel Jedidi is Assistant Professor of Marketing at Columbia University's Graduate School of Business. The authors gratefully acknowledge DuPont Incorporated for providing financial support for this research.     

Risk preference heterogeneity in group contests

We analyze the first model of a group contest with players that are heterogeneous in their risk preferences. In our model, individuals’ preferences are represented by a utility function exhibiting a generalized form of constant absolute risk aversion, allowing us to consider any combination of risk-averse, risk-neutral, and risk-loving players. We begin by proving equilibrium existence and uniqueness under both linear and convex investment costs. Then, we explore how the sorting of a compatible set of players by their risk attitudes into competing groups affects aggregate investment. With linear costs, a balanced sorting (i.e., minimizing the variance in risk attitudes across groups) always produces an aggregate investment level that is at least as high as an unbalanced sorting (i.e., maximizing the variance in risk attitudes across groups). Under convex costs, however, identifying which sorting is optimal is more nuanced and depends on preference and cost parameters.     

Spatial wage disparities: Sorting matters!

Spatial wage disparities can result from spatial differences in the skill composition of the workforce, in non-human endowments, and in local interactions. To distinguish between these explanations, we estimate a model of wage determination across local labour markets using a very large panel of French workers. We control for worker characteristics, worker fixed effects, industry fixed effects, and the characteristics of the local labour market. Our findings suggest that individual skills account for a large fraction of existing spatial wage disparities with strong evidence of spatial sorting by skills. Interaction effects are mostly driven by the local density of employment. Not controlling for worker heterogeneity leads to very biased estimates of interaction effects. Endowments only appear to play a small role.