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Understanding inequality trends: microsimulation decomposition for Italy

Fiorio, Carlo V. (2006) Understanding inequality trends: microsimulation decomposition for Italy. DARP, 78. Suntory and Toyota International Centres for Economics and Related Disciplines, London School of Economics and Political Science, London, UK.

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Abstract

This paper suggests overcoming some limitations of traditional inequality decomposition methods by developing a combination of Burtless (1999) and DiNardo et al. (1996), two different microsimulation methods for decomposing inequality. By using this combination it is possible to take into consideration the dispersion of income sources as well as the socio-demographic evolution of the population under study, in a single framework and across many years. This methodology maximizes clarity of results and allows one to easily perform tests on results. An application to Italian household inequality is provided to analyze marginal and joint effects of demographic trends and changed dispersion of different income factors between 1977 and 2002.

Item Type: Monograph (Discussion Paper)
Official URL: http://sticerd.lse.ac.uk
Additional Information: © 2006 Carlo V. Fiorio
Library of Congress subject classification: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HB Economic Theory
Journal of Economic Literature Classification System: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions
D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Sets: Collections > Economists Online
Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Identification Number: 78
Date Deposited: 07 Jul 2008 07:45
URL: http://eprints.lse.ac.uk/6544/

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