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The Measurement of Income Distribution Dynamics when Demographics are correlated with Income

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  • Grimm, Michael
  • Cogneau, Denis

Abstract

The purpose of our paper is to derive instructive analytics on how to account for differentials in demographic variables, and in particular mortality, when performing welfare comparisons over time. The idea is to “correct” in various ways estimated income distribution measures for “sample selection” due to differential mortality. We implement our approach empirically using three waves (1993, 1997 and 2000) of the Indonesian Family Life Surveys (IFLS). We distinguish the direct effect of mortality, i.e. individuals who die are withdrawn from the population and no longer contribute to monetary welfare, from the indirect effect, i.e. the impact on survivors pertaining to the same household of dead individuals, who may experience a decrease or an increase in monetary welfare. For the case of Indonesia, we show that the direct and indirect effects of mortality on the income distribution have opposite signs, but have the same order of magnitude. We also show that the effect of other demographic changes, like changes in the structure of fertility, migration, and educational attainment, dominate the effects of mortality, whether direct or indirect. However, we find that none of these demographic developments are large enough to explain a significant part of the change in income distribution, whether the pre-crisis period (1993-1997) or the post-crisis period (1997-2000) are considered.

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Bibliographic Info

Paper provided by Paris Dauphine University in its series Economics Papers from University Paris Dauphine with number 123456789/4456.

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Date of creation: Jun 2007
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Publication status: Published in Review of Income and Wealth, 2007, Vol. 53, no. 2. pp. 246-274.Length: 28 pages
Handle: RePEc:dau:papers:123456789/4456

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Related research

Keywords: Decomposition; Welfare Comparisons; Income Distribution Dynamics; Differential Mortality; décomposition; comparaisons de bien-être; Dynamique de la distribution du revenu; Mortalité différentielle;

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  1. Dinardo, J. & Fortin, N.M. & Lemieux, T., 1994. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Cahiers de recherche 9406, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  2. repec:ese:iserwp:2003-06 is not listed on IDEAS
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  4. Kanbur, Ravi & Mukherjee, Diganta, 2003. "Premature Mortality And Poverty Measurement," Working Papers 127197, Cornell University, Department of Applied Economics and Management.
  5. Lam, David, 1986. "The Dynamics of Population Growth, Differential Fertility, and Inequality," American Economic Review, American Economic Association, vol. 76(5), pages 1103-16, December.
  6. Brainerd, Elizabeth & Siegler, Mark V, 2003. "The Economic Effects of the 1918 Influenza Epidemic," CEPR Discussion Papers 3791, C.E.P.R. Discussion Papers.
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  8. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  9. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, 01.
  10. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  11. Blackorby, Charles & Bossert, Walter & Donaldson, David, 1995. "Intertemporal Population Ethics: Critical-Level Utilitarian Principles," Econometrica, Econometric Society, vol. 63(6), pages 1303-20, November.
  12. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  13. Chu, C Y Cyrus & Koo, Hui-Wen, 1990. "Intergenerational Income-Group Mobility and Differential Fertility," American Economic Review, American Economic Association, vol. 80(5), pages 1125-38, December.
  14. Alberto Abadie & Joshua D. Angrist & Guido W. Imbens, 1998. "Instrumental Variables Estimation of Quantile Treatment Effects," NBER Technical Working Papers 0229, National Bureau of Economic Research, Inc.
  15. Dasgupta, Partha & Sen, Amartya & Starrett, David, 1973. "Notes on the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 6(2), pages 180-187, April.
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Cited by:
  1. Michael Grimm, 2006. "Mortality and Survivors' Consumption," Discussion Papers of DIW Berlin 611, DIW Berlin, German Institute for Economic Research.
  2. Sanjaya, M Ryan, 2007. "Health cost in Indonesia: evidences from IFLS and Susenas data," MPRA Paper 13986, University Library of Munich, Germany.
  3. Petra Enß & Robert Schwager, 2006. "Kommunaler Finanzausgleich und Gewerbesteuerhebesätze in Niedersachsen," Departmental Discussion Papers 127, University of Goettingen, Department of Economics.
  4. Corinna Ahlfeld, 2009. "The scapegoat of heterogeneity - How fragmentation influences political decisionmaking," Departmental Discussion Papers 143, University of Goettingen, Department of Economics.
  5. Renate Ohr, 2009. "European Monetary Union at Ten: Had the German Maastricht Critics Been Wrong?," Departmental Discussion Papers 141, University of Goettingen, Department of Economics.
  6. Sascha Wolff, 2006. "Migration und ihre Determinanten im ost-westdeutschen Kontext nach der Wiedervereinigung: Ein Literaturüberblick," Departmental Discussion Papers 130, University of Goettingen, Department of Economics.
  7. Grimm, M., 2010. "Does inequality in health impede growth?," ISS Working Papers - General Series 501, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.

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