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Project Citation: 

Barwick, Panle, Li, Shanjun, Waxman, Andrew R., Wu, Jing, and Xia, Tianli. Data and Code for: Efficiency and Equity Impacts of Urban Transportation Policies with Equilibrium Sorting. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-08-19. https://doi.org/10.3886/E198573V1

Project Description

Summary:  View help for Summary We estimate an equilibrium sorting model of housing location and commuting mode choice with endogenous traffic congestion to evaluate urban transportation policies. Leveraging fine-scale data from travel diaries and housing transactions identifying residents’ home and work locations, we recover rich preference heterogeneity over both travel mode and residential location decisions. While different policies produce the same congestion reduction, their impacts on social welfare differ drastically. In addition, sorting undermines the congestion reduction under driving restrictions and subway expansion but strengthens it under congestion pricing. The combination of congestion pricing and subway expansion delivers the greatest congestion relief and efficiency gains.
Funding Sources:  View help for Funding Sources International Initiative for Impact Evaluation (DPW1.1106); Center for Transportation, Environment, and Community Health at Cornell University

Scope of Project

Subject Terms:  View help for Subject Terms equilibrium sorting; housing markets; transportation; urban structure
JEL Classification:  View help for JEL Classification
      L91 Transportation: General
      R13 General Equilibrium and Welfare Economic Analysis of Regional Economies
      R21 Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
Geographic Coverage:  View help for Geographic Coverage Beijing, China


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