IDEAS home Printed from https://ideas.repec.org/p/upf/upfses/240.html
   My bibliography  Save this paper

Unobserved heterogeneity and censoring in the demand for health care

Author

Listed:
  • Ángel López Nicolás

Abstract

This paper analyses the demand for private health care by Spanish households using a micro budget survey. The methodology used takes care of the three part decision process involved in this type of behaviour, namely the decision to use private health care, how often to do so and how much to spend each time and also the effects of unobserved heterogeneity. Since the theoretical framework corresponds to the Grossman model of health investment, the results also provide a test of the theory when these issues are considered. Finally, the obtained evidence also suggest that the current system of tax deductions for private health care expenditures is regressive.

Suggested Citation

  • Ángel López Nicolás, 1997. "Unobserved heterogeneity and censoring in the demand for health care," Working Papers, Research Center on Health and Economics 240, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfses:240
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/240.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Wagstaff, Adam, 1986. "The demand for health : Some new empirical evidence," Journal of Health Economics, Elsevier, vol. 5(3), pages 195-233, September.
    3. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    4. Garcia, Jaume & Labeaga, Jose M, 1996. "Alternative Approaches to Modelling Zero Expenditure: An Application to Spanish Demand for Tobacco," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 489-506, August.
    5. Manuel Arellano & Olympia Bover, 1990. "La econometría de datos de panel," Investigaciones Economicas, Fundación SEPI, vol. 14(1), pages 3-45, January.
    6. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    7. Adam Wagstaff, 1993. "The demand for health: An empirical reformulation of the Grossman model," Health Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 189-198, July.
    8. Jones, Andrew M, 1989. "A Double-Hurdle Model of Cigarette Consumption," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 23-39, Jan.-Mar..
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Esther Martínez, 1998. "Las deducciones en el IRPF por gasto sanitario privado: situación actual y posibilidades de reforma," Economics Working Papers 307, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Esther Martínez, 1998. "Las deducciones en el IRPF por gasto sanitario privado: situación actual y posibilidades de reforma," Working Papers, Research Center on Health and Economics 307, Department of Economics and Business, Universitat Pompeu Fabra.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Angel López‐Nicolás, 1998. "Unobserved heterogeneity and censoring in the demand for health care," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 429-437, August.
    2. Lurås, Hilde, 2009. "A healthy lifestyle: The product of opportunities and preferences," HERO Online Working Paper Series 2001:11, University of Oslo, Health Economics Research Programme.
    3. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    4. Manoj K. Pandey, 2013. "Elderly's Health Shocks and Household's Ex-ante Poverty in India," ASARC Working Papers 2013-01, The Australian National University, Australia South Asia Research Centre.
    5. Gerdtham, Ulf-G & Johannesson, Magnus, 2001. "The relationship between happiness, health, and socio-economic factors: results based on Swedish microdata," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 30(6), pages 553-557.
    6. Zhong Zhao, 2008. "Health demand and health determinants in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(1), pages 77-98.
    7. Gomez, Miguel I. & Ranney, Christine K., 2002. "Effects Of Food And Health Spending Patterns On The Health Of The Elderly," 2002 Annual meeting, July 28-31, Long Beach, CA 19608, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Halliday, Timothy J. & He, Hui & Ning, Lei & Zhang, Hao, 2019. "Health Investment Over The Life-Cycle," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 178-215, January.
    9. Awotide, B.A. & Abdoulaye, Tahirou & Alene, Arega & Manyong, Victor M., 2015. "Impact of Access to Credit on Agricultural Productivity: Evidence from Smallholder Cassava Farmers in Nigeria," 2015 Conference, August 9-14, 2015, Milan, Italy 210969, International Association of Agricultural Economists.
    10. Galama, T. & Hullegie, P. & Meijer, E. & Outcault, S., 2012. "Empirical evidence for decreasing returns to scale in a health capital model," Health, Econometrics and Data Group (HEDG) Working Papers 12/05, HEDG, c/o Department of Economics, University of York.
    11. 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.
    12. Gerdtham, U. -G. & Johannesson, M. & Lundberg, L. & Isacson, D., 1999. "The demand for health: results from new measures of health capital," European Journal of Political Economy, Elsevier, vol. 15(3), pages 501-521, September.
    13. Michael Grossman, 2022. "The demand for health turns 50: Reflections," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1807-1822, September.
    14. Jochen Hartwig & Jan-Egbert Sturm, 2018. "Testing the Grossman model of medical spending determinants with macroeconomic panel data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1067-1086, November.
    15. David Aristei & Federico Perali & Luca Pieroni, 2008. "Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach," Empirical Economics, Springer, vol. 35(1), pages 29-61, August.
    16. Sergi Jiménez-Martín & Cristina Vilaplana Prieto, 2013. "Informal Care and intergenerational transfers in European Countries," Working Papers 2013-25, FEDEA.
    17. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    18. Peter Zweifel, 2012. "The Grossman model after 40 years," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 677-682, December.
    19. Anne Case & Angus S. Deaton, 2005. "Broken Down by Work and Sex: How Our Health Declines," NBER Chapters, in: Analyses in the Economics of Aging, pages 185-212, National Bureau of Economic Research, Inc.
    20. Burggraf, Christine, 2017. "Russian demand for dietary quality: Nutrition transition, diet quality measurement, and health investment theory," Studies on the Agricultural and Food Sector in Transition Economies 269539, Institute of Agricultural Development in Transition Economies (IAMO).

    More about this item

    Keywords

    Health; microeconometrics;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:upf:upfses:240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.