Accounting for Income Distribution Trends: A Density Function Decomposition Approach
AbstractThis paper develops methods for decomposing changes in the income distribution using subgroup decompositions of the income density function. Overall changes are related to changes in subgroup shares and changes in subgroup densities, where the latter are broken down further using elementary transformations of individual incomes. These density decompositions are analogous to the widely-used decompositions of inequality indices by population subgroup, except that they summarize multiple features of the income distribution (using graphs), rather than focusing on a specific feature such as dispersion, and are not dependent on the choice of a specific summary index. Nonetheless, since inequality and poverty indices can be expressed as PDF functionals, our density-based methods can also be used to provide numerical decompositions of these. An application of the methods reveals the multi-faceted nature of UK income distribution trends during the 1980s.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 1141.
Length: 27 pages
Date of creation: May 2004
Date of revision:
Publication status: published in: Journal of Economic Inequality, 2005, 3(1), 43–61
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Other versions of this item:
- Stephen Jenkins & Philippe Kerm, 2005. "Accounting for income distribution trends: A density function decomposition approach," Journal of Economic Inequality, Springer, Springer, vol. 3(1), pages 43-61, April.
- Jenkins, Stephen P. & Van Kerm, Philippe, 2004. "Accounting for income distribution trends: A density function decomposition approach," IRISS Working Paper Series, IRISS at CEPS/INSTEAD 2004-07, IRISS at CEPS/INSTEAD.
- Jenkins, Stephen P. & Van Kerm, Philippe, 2004. "Accounting for income distribution trends: a density function decomposition approach," ISER Working Paper Series 2004-05, Institute for Social and Economic Research.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- D33 - Microeconomics - - Distribution - - - Factor Income Distribution
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-06-02 (All new papers)
- NEP-LTV-2004-06-02 (Unemployment, Inequality & Poverty)
- NEP-MIC-2004-06-02 (Microeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mookherjee, Dilip & Shorrocks, Anthony F, 1982. "A Decomposition Analysis of the Trend in UK Income Inequality," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 92(368), pages 886-902, December.
- Philippe Van Kerm, 2003.
"Adaptive kernel density estimation,"
Stata Journal, StataCorp LP,
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- Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, Econometric Society, vol. 52(6), pages 1369-85, November.
- Cowell, F.A., 2000.
"Measurement of inequality,"
Handbook of Income Distribution, Elsevier,
in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166
- Frank Cowell, 1998. "Measurement of inequality," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library 2084, London School of Economics and Political Science, LSE Library.
- Dasgupta, Partha & Sen, Amartya & Starrett, David, 1973. "Notes on the measurement of inequality," Journal of Economic Theory, Elsevier, Elsevier, vol. 6(2), pages 180-187, April.
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