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Is Posner Right? An Empirical Test of the Posner Argument for Transferring Health Spending from Old Women to Old Men

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Author Info
Wunder, Christoph () (University of Erlangen-Nuremberg)
Schwarze, Johannes () (University of Bamberg)
Abstract

Posner (1995) proposes the redistribution of health spending from old women to old men to equalize life expectancy. His argument is based on the assumption that women's utility is higher if they are married. Thus, extending the lifespan of men would benefit women. Using life satisfaction data from the German Socio-Economic Panel Study (SOEP), we conduct an empirical test of this assumption. We apply a two-step estimation strategy: first, we use a propensity score matching approach to generate a control group of non-widowed women. The average level of life satisfaction in the control group serves as a reference to measure the degree of adaptation to widowhood. In the second step, the life satisfaction trajectories of both groups are estimated using penalized spline regressions. The results suggest bereavement has no enduring effect on life satisfaction, and that falsifies Posner's assumption.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4485.

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Length: 33 pages
Date of creation: Oct 2009
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Handle: RePEc:iza:izadps:dp4485

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Related research
Keywords: widowhood; adaptation; subjective well-being; life satisfaction; penalized spline regression; propensity score matching;

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Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
D10 - Microeconomics - - Household Behavior - - - General
I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare

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References listed on IDEAS
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  1. Andrew E. Clark & Ed Diener & Yannis Georgellis & Richard E. Lucas, 2008. "Lags and Leads in Life Satisfaction: A Test of the Baseline Hypothesis," SOEPpapers 84, DIW Berlin, The German Socio-Economic Panel (SOEP). [Downloadable!]
    Other versions:
  2. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, 06. [Downloadable!] (restricted)
    Other versions:
  3. Matthew P. Wand & Long Ngo, 2004. "Smoothing with Mixed Model Software," Journal of Statistical Software, American Statistical Association, vol. 9(01), 01. [Downloadable!]
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This page was last updated on 2009-12-7.


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