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

  • Jürgen Maurer

    ()

    (Munich Center for the Economics of Aging (MEA))

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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Paper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 08170.

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Date of creation: 23 Sep 2008
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Handle: RePEc:mea:meawpa:08170
Contact details of provider: Postal: Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Amalienstraße 33, 80799 München, Germany
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  1. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," Review of Economic Studies, Wiley Blackwell, vol. 71, pages 655-679, 07.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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, 07.
  10. 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.
  11. Kenkel, Don, 1990. "Consumer Health Information and the Demand for Medical Care," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 587-95, November.
  12. Richard Blundell & James Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers CWP09/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  13. 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.
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