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Retirement, Non-Professional Activities and Cognitive Ageing. An investigation Based on Share Data

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Author Info

  • Stéphane Adam

    (Service de Neuropsychologie, Université de Liège)

  • Éric Bonsang

    (CREPP  HEC-Ecole de Gestion, Université de Liège)

  • Sophie Germain

    (Service de Neuropsychologie, Université de Liège)

  • Sergio Perelman

    (CREPP  HEC-Ecole de Gestion, Université de Liège)

Abstract

We apply frontier analysis tools to study the relationship between cognitive functioning and factors like age, education and occupational activities, professional or not, among individuals aged 50 year and more in Europe. We use individual data collected in the first wave of Share in 2004. Other than data on cognitive tests, Share contains detailed information on health status, socioeconomic characteristics and family composition for more than 22,000 individuals. The results highlight that, other than the main role played by education in cognitive ageing prevention, also delaying retirement, the practice of non-professional activities and moderate or vigorous physical activities are positively related to the constitution of individuals cognitive reserve. This is a first step in the study of these relations using Share. A deeper analysis, allowing to assess the causality links underlying these relationships, would be possible when the next waves of Share, conducted every two-year on the same individuals, will be available.

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File URL: http://www.insee.fr/fr/ffc/docs_ffc/ES403-404e.pdf
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Bibliographic Info

Article provided by Institut National de la Statistique et des Etudes Economiques in its journal Economie et Statistique.

Volume (Year): 403-404 (2007)
Issue (Month): (December)
Pages: 83-96

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Handle: RePEc:crs:ecosta:es403-404e

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Related research

Keywords: Cognitive Ageing; Retirement; Non-Professional Activities; Stochastic Frontier;

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  1. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  3. Stéphane Adam & Christelle Bay & Eric Bonsang & Sophie Germain & Sergio Perelman, 2006. "Occupational Activities and Cognitive Reserve: a Frontier Approach Applied to the Survey on Health, Ageing, and Retirement in Europe," CREPP Working Papers 0605, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
  4. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  5. Rachel S. Newson & Eva B. Kemps, 2005. "General Lifestyle Activities as a Predictor of Current Cognition and Cognitive Change in Older Adults: A Cross-Sectional and Longitudinal Examination," Journals of Gerontology: Series B, Gerontological Society of America, vol. 60(3), pages P113-P120.
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