Replication data for: A Quantitative Analysis of the Used-Car Market
Principal Investigator(s): View help for Principal Investigator(s) Alessandro Gavazza; Alessandro Lizzeri; Nikita Roketskiy
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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eurocar | 10/27/2021 10:35:AM | ||
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text/plain | 14.6 KB | 10/11/2019 05:12:PM |
Project Citation:
Gavazza, Alessandro, Lizzeri, Alessandro, and Roketskiy, Nikita. Replication data for: A Quantitative Analysis of the Used-Car Market. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112709V1
Project Description
Summary:
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We quantitatively investigate the allocative and welfare effects of
secondary markets for cars. An important source of gains from
trade in these markets is the heterogeneity in the willingness to
pay for higher-quality (newer) goods, but transaction costs are an
impediment to instantaneous trade. Calibration of the model successfully matches several aggregate features of the U.S. and French used-car markets. Counterfactual analyses show that transaction costs have a large effect on volume of trade, allocations, and the primary market. Aggregate effects on consumer surplus and welfare are relatively small, but the effect on lower-valuation households can be large.
Scope of Project
Subject Terms:
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Equilibrium analysis;
calibration
JEL Classification:
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D23 Organizational Behavior; Transaction Costs; Property Rights
L62 Automobiles; Other Transportation Equipment; Related Parts and Equipment
L81 Retail and Wholesale Trade; e-Commerce
D23 Organizational Behavior; Transaction Costs; Property Rights
L62 Automobiles; Other Transportation Equipment; Related Parts and Equipment
L81 Retail and Wholesale Trade; e-Commerce
Geographic Coverage:
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United States,
France
Time Period(s):
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2000 – 2000
Universe:
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All households in the United States and France, privately owned passenger cars in the United States and France
Data Type(s):
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program source code
Methodology
Data Source:
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Consumer Expenditure Survey, Enquete Budget des Familles
Unit(s) of Observation:
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households,
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