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Health-related non-response in the BHPS and ECHP: using inverse probability weighted estimators in nonlinear models

Author

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  • Andrew M Jones
  • Xander Koolman
  • Nigel Rice

Abstract

This paper considers health-related non-response in the first eleven waves of the British Household Panel Survey (BHPS) and the full eight waves of the European Community Household Panel (ECHP) and explores its consequences for dynamic models of the association between socioeconomic status and self-assessed health (SAH). We describe the pattern of health-related non-response revealed by the BHPS and ECHP data. We both test and correct for non-response in empirical models of the impact of socioeconomic status on self-assessed health. Descriptive evidence shows that there is health-related non-response in the data, with those in very poor initial health more likely to drop out, and variable addition tests provide evidence of nonresponse bias in the panel data models of SAH. Nevertheless a comparison of estimates - based on the balanced sample, the unbalanced sample and corrected for non-response using inverse probability weights (IPW) – shows that, on the whole, there are not substantive differences in the average partial effects (APE) of the variables of interest. The main differences are between unweighted and one form of IPW-weighted estimates for the APE of income and education in those countries that have fewer than eight waves of data. Similar findings have been reported concerning the limited influence of non-response bias in models of various labour market outcomes; we discuss possible explanations for our results.

Suggested Citation

  • Andrew M Jones & Xander Koolman & Nigel Rice, 2005. "Health-related non-response in the BHPS and ECHP: using inverse probability weighted estimators in nonlinear models," Health, Econometrics and Data Group (HEDG) Working Papers 05/05, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:05/05
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    Citations

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    Cited by:

    1. Andrew M. Jones & Eddy Van Doorslaer & Teresa Bago D’Uva & Silvia Balia & Lynn Gambin & Cristina Hernández Quevedo & Xander Koolman & Nigel Rice, 2006. "Health and Wealth: Empirical Findings and Political Consequences," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 93-112, May.
    2. Jennifer Roberts & Nigel Rice & Andrew M. Jones, 2008. "Early retirement and inequality in Britain and Germany: How important is health?," Working Papers 2008012, The University of Sheffield, Department of Economics, revised Nov 2008.
    3. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.
    4. Nigel Rice & Jennifer Roberts & Andrew M. Jones, 2006. "Sick of work or too sick to work? Evidence on health shocks and early retirement from the BHPS," Health, Econometrics and Data Group (HEDG) Working Papers 06/13, HEDG, c/o Department of Economics, University of York.
    5. García Villar, Jaume & Quintana-Domeque, Climent, 2009. "Income and body mass index in Europe," Economics & Human Biology, Elsevier, vol. 7(1), pages 73-83, March.
    6. Sergio Destefanis & Vania Sena, 2006. "Health, Capabilities and Functionings: An Empirical Analysis for the UK," CSEF Working Papers 151, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    7. Marta Pascual & David Cantarero, 2005. "Health And Socio-Economic Inequalities In The European Union," ERSA conference papers ersa05p555, European Regional Science Association.
    8. Frijters, Paul & Ulker, Aydogan, 2008. "Robustness in health research: Do differences in health measures, techniques, and time frame matter?," Journal of Health Economics, Elsevier, vol. 27(6), pages 1626-1644, December.
    9. Jones, Andrew M. & Rice, Nigel & Roberts, Jennifer, 2010. "Sick of work or too sick to work? Evidence on self-reported health shocks and early retirement from the BHPS," Economic Modelling, Elsevier, vol. 27(4), pages 866-880, July.
    10. Christiaan W. S. Monden & Wilfred J. G. Uunk, 2013. "For Better and for Worse: The Relationship Between Union Dissolution and Self-Assessed Health in European Panel Data," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 103-125, February.
    11. Pascual, Marta & Cantarero, David, 2007. "Socio-demographic determinants of disabled people: An empirical approach based on the European Community Household Panel," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(2), pages 275-287, April.
    12. Sadig, Husam, 2014. "Unknown eligibility whilst weighting for non-response: the puzzle of who has died and who is still alive?," ISER Working Paper Series 2014-35, Institute for Social and Economic Research.
    13. Briody, Jonathan & Doyle, Orla & Kelleher, Cecily, 2020. "The effect of local unemployment on health: A longitudinal study of Irish mothers 2001-2011," Economics & Human Biology, Elsevier, vol. 37(C).
    14. Pascual Sáez, Marta & Cantarero Prieto, David, 2007. "Características socio-económicas de las personas con discapacidad en España: un estudio empírico/Socio-Economic Characteristics of People with Disabilities in Spain: an Empirical Study," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 843-886, Diciembre.

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