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Replication data for: Gibrat's Law for (All) Cities: Comment

Version
1
Resource Type
Dataset
Creator
  • Levy, Moshe
Publication Date
2009-09-01
Description
  • Abstract

    Jan Eeckhout (2004) reports that the empirical city size distribution is lognormal, consistent with Gibrat's Law. We show that for the top 0.6 percent of the largest cities, the empirical distribution is dramatically different from the lognormal, and follows a power law. This top part is extremely important as it accounts for more than 23 percent of the population. The empirical hybrid lognormal-power-law distribution revealed may be characteristic of other key distributions, such as the wealth distribution and the income distribution. This distribution is not consistent with a simple Gibrat proportionate effect process, and its origin presents a puzzle yet to be answered. (JEL R11, R12, R23)
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.99.4.1672 (Text)
Publications
  • Levy, Moshe. “Gibrat’s Law for (All) Cities: Comment.” American Economic Review 99, no. 4 (August 2009): 1672–75. https://doi.org/10.1257/aer.99.4.1672.
    • ID: 10.1257/aer.99.4.1672 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Levy, Moshe (2009): Replication data for: Gibrat's Law for (All) Cities: Comment. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113328V1