Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process

A-Tier
Journal: Review of Economics and Statistics
Year: 2001
Volume: 83
Issue: 1
Pages: 185-190

Score contribution per author:

4.022 = (α=2.01 / 1 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper develops a discrete variant of the semiparametric methodology of DiNardo, Fortin, and Lemieux (1996) (DFL) to measure the effects of socio-economic variables on the income distribution. Although the proposed method is also based on the calculation of hypothetical income distributions by reweighting the original population, it is much easier to implement. The framework is applied to examine the distributional effects of rising unemployment, decreasing female labor market participation, and widening income structure in East Germany following the reunification with West Germany in 1990. The empirical results suggest that both these tendencies contributed considerably to the recent increase in income inequality in East Germany. 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Technical Details

RePEc Handle
repec:tpr:restat:v:83:y:2001:i:1:p:185-190
Journal Field
General
Author Count
1
Added to Database
2026-01-24