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On the effect of obesity on employment in the presence of observed and unobserved confounding

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  • Rosalba Radice
  • Luca Zanin
  • Giampiero Marra

Abstract

The aim of this paper was to estimate the effect of obesity on the employment probability for Italian men and women accounting for both observed and unobserved confounding. We use microdata collected by the Italian National Statistical Office for the year 2009 during a multi‐scope survey of Italian households. The employment–obesity relationship is estimated after controlling for observed confounding by using probit regression and a propensity score weighting approach. To control for both observed and unobserved confounding (endogeneity), a semiparametric recursive bivariate probit model is employed instead. Our findings suggest that obesity has a significant negative effect on the employment probability and that endogeneity might not be an important issue.

Suggested Citation

  • Rosalba Radice & Luca Zanin & Giampiero Marra, 2013. "On the effect of obesity on employment in the presence of observed and unobserved confounding," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 436-455, November.
    • Handle: RePEc:bla:stanee:v:67:y:2013:i:4:p:436-455
    DOI: 10.1111/stan.12016
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    References listed on IDEAS

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    1. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, April.
    2. S. Vansteelandt & E. Goetghebeur, 2003. "Causal inference with generalized structural mean models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(4), pages 817-835, November.
    3. Morris, Stephen, 2007. "The impact of obesity on employment," Labour Economics, Elsevier, vol. 14(3), pages 413-433, June.
    4. Meliyanni Johar & Hajime Katayama, 2012. "Quantile regression analysis of body mass and wages," Health Economics, John Wiley & Sons, Ltd., vol. 21(5), pages 597-611, May.
    5. Edward C. Norton & Euna Han, 2008. "Genetic information, obesity, and labor market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1089-1104, September.
    6. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    7. Lindeboom, Maarten & Lundborg, Petter & van der Klaauw, Bas, 2010. "Assessing the impact of obesity on labor market outcomes," Economics & Human Biology, Elsevier, vol. 8(3), pages 309-319, December.
    8. Little, Roderick J A, 1985. "A Note about Models for Selectivity Bias," Econometrica, Econometric Society, vol. 53(6), pages 1469-1474, November.
    9. Johansson, Edvard & Böckerman, Petri & Kiiskinen, Urpo & Heliövaara, Markku, 2009. "Obesity and labour market success in Finland: The difference between having a high BMI and being fat," Economics & Human Biology, Elsevier, vol. 7(1), pages 36-45, March.
    10. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
    11. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    12. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    13. Greve, Jane, 2008. "Obesity and labor market outcomes in Denmark," Economics & Human Biology, Elsevier, vol. 6(3), pages 350-362, December.
    14. Giampiero Marra & Simon N. Wood, 2012. "Coverage Properties of Confidence Intervals for Generalized Additive Model Components," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(1), pages 53-74, March.
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    Cited by:

    1. Luca Zanin, 2016. "On Italian Households’ Economic Inadequacy Using Quali-Quantitative Measures," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 59-88, August.
    2. Chiara Mussida & Luca Zanin, 2020. "Determinants of the Choice of Job Search Channels by the Unemployed Using a Multivariate Probit Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 369-420, November.

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