To make high-quality research more accessible and easier to explore.

Fields:

Estimating a Bargaining Model with Asymmetric Information: Evidence from Medical Malpractice Disputes

Journal of Political Economy 2000 108(5), 1006-1021
This article uses a unique data set on medical malpractice disputes in Florida to estimate the parameters of a bargaining game with asymmetric information. The main findings of the article suggest that the bargaining game can replicate most of the qualitative and quantitative features of the data. The article also simulates alternative policy regimes to quantify the effects of possible tort reforms, such as imposing limits on contingency fees and caps on jury awards.

Estimating Dynamic Games of Electoral Competition to Evaluate Term Limits in US Gubernatorial Elections

American Economic Review 2017 107(7), 1824-1857
This paper shows how to identify and estimate, using standard semi-parametric techniques, a class of dynamic games with perfect monitoring, that have been at the frontier of recent research in political economy. The empirical analysis provides novel quantitative insights into the trade-off that voters face between ideology and ability, the differences in ability and ideology among parties and states, and the differences in preferences between political candidates and voters. We analyze the consequences of term limits and quantify their relative importance. Specifically, we characterize conditions under which term limits improve voters' welfare.

Electoral Accountability and Control in US Cities

Journal of Political Economy 2022 130(11), 2985-3023
We consider a dynamic game of electoral competition with adverse selection, moral hazard, and imperfect monitoring. We show that this dynamic game can be estimated using a flexible maximum likelihood estimator. We implement the estimator using data from recent mayoral elections in large US cities with binding two-term limits. Our empirical findings suggest that there are large differences in performance among different types of mayors. We find an economically important degree of policy responsiveness, with effort accounting for a larger fraction of the total effect than selection. Finally, we evaluate several institutional reforms that promise to increase policy responsiveness.

Estimating Equilibrium Models of Local Jurisdictions

Journal of Political Economy 1999 107(4), 645-681
Research over the past several years has led to the development of models characterizing equilibrium in a system of local jurisdictions. An important insight from these models is that plausible single‐crossing assumptions about preferences generate strong predictions about the equilibrium distribution of households across communities. To date, these predictions have not subjected to formal empirical tests. The purpose of this paper is to provide an integrated approach for testing predictions from this class of models. We first test conditions for locational equilibrium implied by these models. In particular, we test predictions about the distribution of households by income across communities. We then test the models' predictions about the relationships among loclational equilibrium conditions, housing markets, and housing prices. By drawing inferences from a structural general equilibrium model, the paper offers a unified treatment of theory and empirical testing.

Interjurisdictional Sorting and Majority Rule: An Empirical Analysis

Econometrica 2001 69(6), 1437-1465
The goal of this paper is to provide a comprehensive empirical analysis of majority rule and Tiebout sorting within a system of local jurisdictions. The idea behind the estimation procedure is to investigate whether observed levels of public expenditures satisfy necessary conditions implied by majority rule in a general equilibrium model of residential choice. The estimator controls for observed and unobserved heterogeneity among households, observed and unobserved characteristics of communities, and the potential endogeneity of prices and expenditures, as well as the self-selection of households into communities of their choice. We estimate the structural parameters of the model using data from the Boston Metropolitan Area. The empirical findings reject myopic voting models. More sophisticated voting models based on utility-taking provide a potential explanation of the main empirical regularities.

A New Approach to Estimating the Production Function for Housing

American Economic Review 2010 100(3), 905-924
Dating to the classic works of Alonso, Mills, and Muth, the production function for housing has played a central role in urban economics and local public finance. This paper provides a new flexible approach for estimating the housing production function which treats housing quantities and prices as latent variables. The empirical analysis is based on a comprehensive database of recently built properties in Allegheny County, Pennsylvania. We find that the new method proposed in this paper works well in the application and provides reasonable estimates for the underlying production function.

Admitting Students to Selective Education Programs: Merit, Profiling, and Affirmative Action

Journal of Political Economy 2017 125(3), 761-797
Minority and disadvantaged students are typically underrepresented in selective programs that use merit-based admission. Urban school districts may set different referral and admission thresholds based on income and race (affirmative action), and they may exploit differences in achievement relative to ability across race and income groups (profiling). We develop and estimate a model that provides a unified treatment of affirmative action and profiling. We find profiling by race and income and affirmative action for low-income students. Counterfactual analysis reveals that these policies achieve more than 80 percent of African American enrollment that could be attained by race-based affirmative action.

Admission, Tuition, and Financial Aid Policies in the Market for Higher Education

Econometrica 2006 74(4), 885-928
We present an equilibrium model of the market for higher education. Our model simultaneously predicts student selection into institutions of higher education, financial aid, educational expenditures, and educational outcomes. We show that the model gives rise to a strict hierarchy of colleges that differ by the educational quality provided to the students. We also develop a new estimation procedure that exploits the observed variation in prices within colleges. Identification is based on variation in endowments and technology. It does not rely on observed variation in potentially endogenous characteristics of colleges such as peer quality measures and expenditures. We estimate the structural parameters using data collected by the National Center for Education Statistics and aggregate data from Peterson's and the National Science Foundation.