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The Measurement Of Income Distribution Dynamics When Demographics Are Correlated With Income

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  • Denis Cogneau
  • Michael Grimm

Abstract

We show how to account for differentials in demographic variables, in particular mortality, when performing welfare comparisons over time. The idea is to apply various ways of “correcting” estimated income distribution measures for “sample selection” due to differential mortality. We distinguish the direct effect of mortality, i.e. individuals who die leave the population and no longer contribute to monetary welfare, from the indirect effect, i.e. the impact on survivors in the deceased's household who may experience a decrease or increase in monetary welfare. In the case of Indonesia, we show that the direct and indirect effects of mortality on income distribution have opposite signs, but are roughly the same in magnitude. Moreover, the effects of other demographic changes dominate the effects of mortality, whether direct or indirect. However, in the post‐crisis period these demographic changes also explain a substantial part of the overall change in the distribution of income.

Suggested Citation

  • Denis Cogneau & Michael Grimm, 2007. "The Measurement Of Income Distribution Dynamics When Demographics Are Correlated With Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 246-274, June.
    • Handle: RePEc:bla:revinw:v:53:y:2007:i:2:p:246-274
    DOI: 10.1111/j.1475-4991.2007.00229.x
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    Cited by:

    1. Petra Enß & Robert Schwager, 2006. "Kommunaler Finanzausgleich und Gewerbesteuerhebesätze in Niedersachsen," Departmental Discussion Papers 127, University of Goettingen, Department of Economics.
    2. 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.
    3. Corinna Ahlfeld, 2009. "The scapegoat of heterogeneity - How fragmentation influences political decisionmaking," Departmental Discussion Papers 143, University of Goettingen, Department of Economics.
    4. Michael Grimm, 2006. "Mortality and survivors'consumption," Working Papers DT/2006/13, DIAL (Développement, Institutions et Mondialisation).
    5. Borodkin, Fridrich & Bragin, Vladimir & Shpack, Maria, 2006. "Stability of Incomes Distribution in Modern Russia (1994–2004)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 3(3), pages 17-67.
    6. Sanjaya, M Ryan, 2007. "Health cost in Indonesia: evidences from IFLS and Susenas data," MPRA Paper 13986, University Library of Munich, Germany.
    7. Alan G. Isaac, 2014. "The Intergenerational Propagation of Wealth Inequality," Metroeconomica, Wiley Blackwell, vol. 65(4), pages 571-584, November.
    8. Grimm, M., 2010. "Does inequality in health impede growth?," ISS Working Papers - General Series 19426, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    9. 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.

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    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income

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