Replication data for: Identification and Semiparametric Estimation of Equilibrium Models of Local Jurisdictions

Principal Investigator(s): View help for Principal Investigator(s) Dennis Epple; Michael Peress; Holger Sieg

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replication_aejmicro2008-109			10/12/2019 11:14:PM
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Project Citation:

Epple, Dennis, Peress, Michael, and Sieg, Holger. Replication data for: Identification and Semiparametric Estimation of Equilibrium Models of Local Jurisdictions. Nashville, TN: American Economic Association [publisher], 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114376V1

Project Description

Summary: We develop a new model of household sorting in a system of residential neighborhoods. We show that this model is partially identified without imposing parametric restrictions on the distribution of unobserved tastes for neighborhood quality and the shape of the indirect utility function. The proof of identification is constructive and can be used to derive a new semiparameteric estimator. Our empirical application focuses on residential choices in the Pittsburgh metropolitan area. We find that sorting of households with children exhibit more stratification by income than sorting of households without children. (JEL C51, D12, H41, J12, R21, R23)

Scope of Project

JEL Classification:
      C51 Model Construction and Estimation
      D12 Consumer Economics: Empirical Analysis
      H41 Public Goods
      J12 Marriage; Marital Dissolution; Family Structure; Domestic Abuse
      R21 Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics

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V1 [2019-10-12]

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