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Extending decomposition analysis to account for unobserved heterogeneity and persistence in health behavior: Income‐related smoking inequality among Swedish women

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  • Gustav Kjellsson

Abstract

This article suggests an enrichment of the standard method for decomposition of the concentration index to account for unobserved heterogeneity and persistence in health behavior. As the underlying regression model in the decomposition, this approach uses a dynamic random‐effect probit that both consider individual heterogeneity, using a Mundlak type of specification, and applies a simple solution to account for smoking persistence. I illustrate the suggested approach using a panel of Swedish women in Statistics Sweden's Survey of Living Conditions for one vital health‐related behavior, smoking. The results highlight the importance of persistence and show that education and living in a single household are the main drivers of income‐related smoking inequality.

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  • Gustav Kjellsson, 2018. "Extending decomposition analysis to account for unobserved heterogeneity and persistence in health behavior: Income‐related smoking inequality among Swedish women," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 440-447, February.
    • Handle: RePEc:wly:hlthec:v:27:y:2018:i:2:p:440-447
    DOI: 10.1002/hec.3555
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    References listed on IDEAS

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    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Donna B. Gilleskie & Koleman S. Strumpf, 2005. "The Behavioral Dynamics of Youth Smoking," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 822-866.
    4. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications - Books, The World Bank Group, number 6896.
    5. Heckley, Gawain & Gerdtham, Ulf-G. & Kjellsson, Gustav, 2016. "A general method for decomposing the causes of socioeconomic inequality in health," Journal of Health Economics, Elsevier, vol. 48(C), pages 89-106.
    6. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    7. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Testing for selectivity in panel data models," Other publications TiSEM 7ec34a6c-1d84-4052-971c-d, Tilburg University, School of Economics and Management.
    8. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    9. Anton E. Kunst & Vivian Bos & Otto Andersen & Mario Cardano & Giuseppe Costa & Seeromanie Harding & Örjan Hemström & Richard Layte & Enrique Regidor & Alison Reid & Paula Santana & Tapani Valkonen & J, 2004. "Monitoring of trends in socioeconomic inequalities in mortality," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(9), pages 229-254.
    10. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    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, April.
    12. Eddy van Doorslaer & Xander Koolman & Andrew M. Jones, 2004. "Explaining income‐related inequalities in doctor utilisation in Europe," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 629-647, July.
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    14. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    15. Gustav Kjellsson & Ulf‐G Gerdtham & Carl Hampus Lyttkens, 2011. "Breaking bad habits by education – smoking dynamics among Swedish women," Health Economics, John Wiley & Sons, Ltd., vol. 20(7), pages 876-881, July.
    16. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
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