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Weighting Sub-Populations in Longevity Inequality Research: A Practical Approach

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  • Adam Szulc

Abstract

The weights allowing calculation of life expectancy for a whole population as a weighted average of group-specific life expectancies are proposed. They are characterized by a minimum distance from the actual population shares that are different from those assumed in life tables. It is demonstrated how they may be obtained by means of constrained regression, using popular statistical/econometric software. The problem of negative solutions is also addressed. The empirical examples include longevity inequality calculations under various weighting systems. The data come from the Human Mortality Database and from Russia's regional statistics.

Suggested Citation

  • Adam Szulc, 2017. "Weighting Sub-Populations in Longevity Inequality Research: A Practical Approach," KAE Working Papers 2017-029, Warsaw School of Economics, Collegium of Economic Analysis.
    • Handle: RePEc:sgh:kaewps:2017029
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    File URL: http://kolegia.sgh.waw.pl/pl/KAE/Documents/WorkingPapersKAE/WPKAE_2017_029.pdf
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    References listed on IDEAS

    as
    1. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    2. Smits, Jeroen & Monden, Christiaan, 2009. "Length of life inequality around the globe," Social Science & Medicine, Elsevier, vol. 68(6), pages 1114-1123, March.
    3. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    More about this item

    Keywords

    life expectancy; inequality; weighted indices;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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