Adaptation to Health States: A Micro-Econometric Approach
Health care funding decisions in the UK are based on valuations of the general public. However, it has been shown that there is a disparity between a hypothetical valuation of the impact of a specific condition on health and the effect of that health state by someone who experiences it. This paper examines the issue of adaptation to health states, which partially may explain the discrepancy between hypothetical and experienced health state valuations. We use the British Cohort Study (BCS70) which is a longitudinal dataset that tracks a sample of British individuals since their birth in 1970. We use four BCS70 waves containing information on self-assessed health (SAH), morbidity as well as a number of socio-economic characteristics. To estimate the issue of adaptation, we implement a dynamic ordered probit model that controls for (health) state dependence. The empirical specification controls for morbidity and also includes a variable for the duration of the illness. We find that, for most chronic conditions, duration has a positive impact on self-assessed health, while for some conditions-such as diabetes- this does not occur. We interpret our results as evidence in support of the hypothesis that adaptation to chronic diseases exists and may explain at least in part the differences between general public and patients’ health state valuations.
|Date of creation:||2013|
|Date of revision:|
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- Allanson, Paul & Petrie, Dennis & Gerdtham, Ulf-G, 2008.
"Longitudinal analysis of income-related health inequality,"
SIRE Discussion Papers
2008-38, Scottish Institute for Research in Economics (SIRE).
- Allanson, Paul & Gerdtham, Ulf-G. & Petrie, Dennis, 2010. "Longitudinal analysis of income-related health inequality," Journal of Health Economics, Elsevier, vol. 29(1), pages 78-86, January.
- Paul Allanson & Ulf-G Gerdtham & Dennis Petrie, 2008. "Longitudinal analysis of income-related health inequality," Dundee Discussion Papers in Economics 214, Economic Studies, University of Dundee.
- Andrew M. Jones & Stefanie Schurer, 2011.
"How does heterogeneity shape the socioeconomic gradient in health satisfaction?,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 26(4), pages 549-579, 06.
- Andrew M. Jones & Stefanie Schurer, 2007. "How does heterogeneity shape the socioeconomic gradient in health satisfaction?," Health, Econometrics and Data Group (HEDG) Working Papers 07/05, HEDG, c/o Department of Economics, University of York.
- Jones, Andrew M. & Schurer, Stefanie, 2007. "How Does Heterogeneity Shape the Socioeconomic Gradient in Health Satisfaction?," Ruhr Economic Papers 8, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Traferri, Alejandra & Carro, Jesús M., 2011.
"State dependence and heterogeneity in health using a bias corrected fixed effects estimator,"
UC3M Working papers. Economics
we1118, Universidad Carlos III de Madrid. Departamento de Economía.
- Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, 03.
- Jesus M. Carro & Alejandra Traferri, 2011. "State Dependence and Heterogeneity in Health Using a Bias Corrected Fixed Effects Estimator," Documentos de Trabajo 402, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health-related non-response in the British Household Panel Survey and European Community Household Panel: using inverse-probability-weighted estimators in non-linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569.
- Andrew M. Jones & Angel López Nicolás, 2004.
"Measurement and explanation of socioeconomic inequality in health with longitudinal data,"
John Wiley & Sons, Ltd., vol. 13(10), pages 1015-1030.
- Andrew M. Jones & Ángel López, 2003. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Working Papers, Research Center on Health and Economics 711, Department of Economics and Business, Universitat Pompeu Fabra.
- Andrew M. Jones & Angel López, 2003. "Measurement and Explanation of Socioeconomic Inequality in Health with Longitudinal Data," Working Papers 35, Barcelona Graduate School of Economics.
- Andrew M. Jones & Ángel López, 2003. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Economics Working Papers 711, Department of Economics and Business, Universitat Pompeu Fabra.
- Buckley, Neil J. & Denton, Frank T. & Leslie Robb, A. & Spencer, Byron G., 2004.
"The transition from good to poor health: an econometric study of the older population,"
Journal of Health Economics,
Elsevier, vol. 23(5), pages 1013-1034, September.
- Neil J. Buckley & Frank T. Denton & A. Leslie Robb & Byron G. Spencer, 2003. "The Transition from Good to Poor Health: An Econometric Study of the Older Population," Quantitative Studies in Economics and Population Research Reports 381, McMaster University.
- Neil J. Buckley & Frank T. Denton & A. Leslie Robb & Byron G. Spencer, 2003. "The Transition from Good to Poor Health: An Econometric Study of the Older Population," Social and Economic Dimensions of an Aging Population Research Papers 94, McMaster University.
- Oswald, Andrew J. & Powdthavee, Nattavudh, 2006.
"Does Happiness Adapt? A Longitudinal Study of Disability with Implications for Economists and Judges,"
IZA Discussion Papers
2208, Institute for the Study of Labor (IZA).
- Oswald, Andrew J. & Powdthavee, Nattavudh, 2008. "Does happiness adapt? A longitudinal study of disability with implications for economists and judges," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1061-1077, June.
- Verbeek, M.J.C.M. & Nijman, T.E., 1990.
"Testing for selectivity bias in panel data models,"
1990-18, Tilburg University, Center for Economic Research.
- Damschroder, Laura J. & Zikmund-Fisher, Brian J. & Ubel, Peter A., 2005. "The impact of considering adaptation in health state valuation," Social Science & Medicine, Elsevier, vol. 61(2), pages 267-277, July.
- Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
- 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.
- Jeffrey M Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Timothy J Halliday, 2005.
"Heterogeneity, State Dependence and Health,"
200503, University of Hawaii at Manoa, Department of Economics.
- Contoyannis, Paul & Li, Jinhu, 2011. "The evolution of health outcomes from childhood to adolescence," Journal of Health Economics, Elsevier, vol. 30(1), pages 11-32, January.
- 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.
- Katharina Hauck & Nigel Rice, 2004. "A longitudinal analysis of mental health mobility in Britain," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 981-1001.
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