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Who has a clue to preventing the flu? Unravelling supply and demand effects on the take-up of influenza vaccinations

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  • Maurer, Jürgen

Abstract

Influenza is a serious disease, especially for older people, and incomplete vaccination take-up poses a major public health challenge. On both the side of physicians and patients, there could be promising channels for increasing immunization rates, but no attempt has yet been made to empirically unravel their respective influences. Using exclusion restrictions implied by an economic model of physician-patient interactions, our study quantifies the particular effects of supply and demand on influenza immunization. On the supply side, our estimates highlight the importance of physician agency and physician quality, while a patient's education and health behaviors are key demand side factors.

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  • Maurer, Jürgen, 2009. "Who has a clue to preventing the flu? Unravelling supply and demand effects on the take-up of influenza vaccinations," Journal of Health Economics, Elsevier, vol. 28(3), pages 704-717, May.
    • Handle: RePEc:eee:jhecon:v:28:y:2009:i:3:p:704-717
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    1. Soeren Mattke & Edward Kelley & Peter Scherer & Jeremy Hurst & Maria Luisa Gil Lapetra & HCQI Expert Group Members, 2006. "Health Care Quality Indicators Project: Initial Indicators Report," OECD Health Working Papers 22, OECD Publishing.
    2. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
    3. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    4. Agar Brugiavini & Tullio Jappelli & Guglielmo Weber, 2002. "The Survey on Health, Aging and Wealth," CSEF Working Papers 86, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Richard Blundell & James L. Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers 09/01, Institute for Fiscal Studies.
    6. Roger Klein & Francis Vella, 2009. "A semiparametric model for binary response and continuous outcomes under index heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 735-762.
    7. John Mullahy, 1999. "It'll only hurt a second? Microeconomic determinants of who gets flu shots," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 9-24, February.
    8. Kenkel, Don, 1990. "Consumer Health Information and the Demand for Medical Care," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 587-595, November.
    9. McGuire, Thomas G., 2000. "Physician agency," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 9, pages 461-536, Elsevier.
    10. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    11. Stephen T. Parente & David Salkever & Joan DaVanzo, 2003. "The Role of Consumer Knowledge of Insurance Benefits in the Demand for Preventative Health," NBER Working Papers 9912, National Bureau of Economic Research, Inc.
    12. Joseph G. Altonji & Rosa L. Matzkin, 2005. "Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors," Econometrica, Econometric Society, vol. 73(4), pages 1053-1102, July.
    13. Mathias Dewatripont & Lars Peter Hansen & Stephen Turnovsky, 2003. "Advances in Economics and Econometrics: Theory and Applications, Eighth World Congress," ULB Institutional Repository 2013/176003, ULB -- Universite Libre de Bruxelles.
    14. Kenkel, Donald S., 2000. "Prevention," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 31, pages 1675-1720, Elsevier.
    15. A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1.
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