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Estimating Income Inequality from Tax Data with A Priori Assumed Income Distributions in Hungary, 1928-41

Bibliographic Data

ID11253189
AuthorsPéter Földvári (0000-0003-4557-8810, University of Debrecen, corresponding author)
Year2009
Volume42
Issue3
Pages111-115
Publication date2009-07-01
Open AccessNo
TypeARTICLE
VenueHistorical Methods A Journal of Quantitative and Interdisciplinary History (JOURNAL)
Journal identifiersISSN: 0161-5440 • E-ISSN: 1940-1906
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.3200/hmts.42.3.111-115
OpenAlexW2093531441
LanguageEN
Citations received2

The author estimates the Gini coefficients of income inequality in Hungary between 1928 and 1941, on the basis of official income tax statistics. Because only one point on the Lorenz curve is known, he bases his estimation on the assumption that the income has either log-normal distribution or Pareto distribution. He finds that, assuming log normality is preferable, the estimated Gini coefficients suggest that the Great Depression increased income inequality in Hungary. The author crosschecks the method using U.S. Census Bureau data, which reveal that the bias of the estimation procedure is within a reasonable magnitude

Distribution (mathematics · Econometrics · Economic inequality · Economics · Estimation · Gini coefficient · Income distribution · Income inequality metrics · Inequality · Lorenz curve · Normality · Pareto distribution · Statistics · Economic Growth and Productivity · Income, Poverty, and Inequality · Mathematics

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Citations per year0.2
Citation span2016 - 2026 (11)
Highly citedNo

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