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Validating SHARE in France with other French surveys : health and income data


  • Garrouste, Christelle
  • Godefroy, Pascal
  • Laferrère, Anne


The Survey of Health, Ageing and Retirement in Europe (SHARE) is cross national: the questionnaire is identical across all participating countries and, because of the modest size of the sample in each country, it is usually not feasible to proceed to solely national use of the data. Moreover, as SHARE is unique in Europe in terms of scope and target sample, its results cannot easily be validated by comparison with other similar cross national surveys. This paper attempts to relate some key SHARE variables to their counterparts in other French surveys. We concentrate on health and income data that we relate to various INSEE surveys on Health, Consumption, Housing and Income. Concentrating on France, where the SHARE survey agency is the National Statistical Institute, allows the comparison to abstract from sample design and interviewers’ quality effects. We surmise that an ex ante harmonized questionnaire such as SHARE is easier to apply in qualitative domains such as health, or in non-ambiguous quantitative measures such as weight and height, but is harder in domains where each country has its own institutions and concepts. We assess the quality of the income questions both at the extensive margin (who gets what type of income, and non-response conditional on receiving) and at the intensive margin (what are the main quantiles of income distribution for recipients). We find that the French SHARE data are of good quality when the questions are simple. For instance, the body mass index of males is the same in the Health survey and in SHARE. However, discrepancies can be larger on quantitative data. They seem less important on the extensive than on the intensive margins, and generally less in wave 2 than in wave 1. We suggest some ways to improve the quality of future waves of SHARE.

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  • Garrouste, Christelle & Godefroy, Pascal & Laferrère, Anne, 2010. "Validating SHARE in France with other French surveys : health and income data," MPRA Paper 28736, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28736

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    References listed on IDEAS

    1. Andrew E. Clark & Augustin Vicard, 2007. "Conditions de collecte et santé subjective : une analyse sur données européennes," Économie et Statistique, Programme National Persée, vol. 403(1), pages 143-163.
    2. Andrew E. Clark & Augustin Vicard, 2007. "Conditions de collecte et santé subjective : analyse sur données européennes," PSE-Ecole d'économie de Paris (Postprint) halshs-00754188, HAL.
    3. Agar Brugiavini & Tullio Jappelli & Guglielmo Weber, 2002. "The Survey on Health, Aging and Wealth," CSEF Working Papers 86, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
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    1. A. Cazenave-Lacroutz & F. Godet, 2017. "Projecting with the Destinie microsimulation model the post-retirement without any severe disabilities life expectancy of the generations born between 1960 and 1990," Documents de Travail de l'Insee - INSEE Working Papers g2017-03, Institut National de la Statistique et des Etudes Economiques.
    2. Vincenzo Carrieri & Ansgar Wuebker, 2016. "Quasi-Experimental Evidence on the Effects of Health Information on Preventive Behaviour in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 765-791, December.

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    More about this item


    SHARE ; Survey Methodology ; Cross-country comparison ; Survey design ; Data collection ; Survey method for income data ; Survey method for subjective health data ; Measurement error ; Non-response;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • I1 - Health, Education, and Welfare - - Health


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