Gaining weight through retirement? Results from the SHARE survey |
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Affiliation: | 1. Prevention Research Collaboration, Sydney School of Public Health, the University of Sydney, Camperdown, New South Wales,Australia;2. Centre for Chronic Disease Prevention, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, Queensland, Australia;3. Faculty of Health and Medicine, the University of Newcastle, Callaghan, New South Wales, Australia;1. University of Mannheim, MZES, A5, 6, 68131 Mannheim, Germany;2. Carlos III University of Madrid, Edificio Carmen Martín Gaite, 18.2.C.11, Calle Madrid, 126, 28903 Getafe, Spain;1. Department of Economics and Management “Marco Fanno”, University of Padova, via del Santo 33, 35123 Padova, Italy;2. IZA (Institute of Labour Economics), Bonn, Germany;1. Université du Maine, avenue Olivier Messiaen, 72085 Le Mans Cedex 9, GAINS-TEPP, LEMNA, France;2. LEMNA, Université de Nantes and INED, Paris, France |
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Abstract: | This paper estimates the causal impact of retirement on the Body Mass Index (BMI) of adults aged 50–69 years old, on the probability of being either overweight or obese and on the probability of being obese. Based on the 2004, 2006 and 2010–2011 waves of the Survey of Health, Ageing and Retirement in Europe (SHARE), our identification strategy exploits variation in European Early Retirement Ages (ERAs) and stepwise increases in ERAs in Austria and Italy between 2004 and 2011 to examine an exogenous shock to retirement behavior. Our results show that retirement induced by discontinuous incentives in early retirement schemes causes a 12-percentage point increase in the probability of being obese among men within a two- to four-year period. We find that the impact of retirement is highly non-linear and mostly affects the right-hand side of the male BMI distribution. Additional results show that this pattern is driven by men retiring from strenuous jobs and by those who were already at risk of obesity. In contrast, no significant results are found among women. |
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Keywords: | Body Mass Index Obesity Retirement Instrumental variables |
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