Replication data for: Welfare and Trade without Pareto

Principal Investigator(s):  View help for Principal Investigator(s) Keith Head; Thierry Mayer; Mathias Thoenig

Version:  View help for Version V1

Name File Type Size Last Modified
Appendix_Simulations.m text/plain 11.3 KB 10/11/2019 06:13:PM
DataExemption.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 105.5 KB 10/11/2019 06:13:PM
DataExemption.pdf application/pdf 41.1 KB 10/11/2019 06:13:PM
FP.m text/plain 226 bytes 10/11/2019 06:13:PM
FPaut.m text/plain 100 bytes 10/11/2019 06:13:PM
FPautpar.m text/plain 121 bytes 10/11/2019 06:13:PM
FPpar.m text/plain 252 bytes 10/11/2019 06:13:PM
Figure2a.eps application/postscript 13.2 KB 10/11/2019 06:13:PM
Figure2a.pdf application/pdf 7.4 KB 10/11/2019 06:13:PM
Figure2b.eps application/postscript 13.2 KB 10/11/2019 06:13:PM
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Project Description

Summary:  View help for Summary Quantifications of gains from trade in heterogeneous firm models assume that productivity is Pareto distributed. Replacing this assumption with log-normal heterogeneity retains some useful Pareto features, while providing a substantially better fit to sales distributions-especially in the left tail. The cost of log-normal is that gains from trade depend on the method of calibrating the fixed cost and productivity distribution parameters. When set to match the size distribution of firm sales in a given market, the log-normal assumption delivers gains from trade in a symmetric two-country model that can be twice as large as under the Pareto assumption.

Scope of Project

JEL Classification:  View help for JEL Classification
      C46 Specific Distributions; Specific Statistics
      D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
      D60 Welfare Economics: General
      L13 Oligopoly and Other Imperfect Markets
      L25 Firm Performance: Size, Diversification, and Scope


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V1 [2019-10-11]

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