IDEAS home Printed from https://ideas.repec.org/p/col/000122/010608.html
   My bibliography  Save this paper

An ordered categorical response model with endogenous switching: Simulation Exercises and an Application to State Health

Author

Listed:
  • Andrés Ramirez Hassan
  • Johnatan Cardona Jimenez

Abstract

We develop and estimate a full information maximum likelihood ordered categorical response model with endogenous switching. Simulation exercises show that estimated parameters are unbias and consistent. And application to Internet access indicates that there are selection and moral hazard.

Suggested Citation

  • Andrés Ramirez Hassan & Johnatan Cardona Jimenez, 2011. "An ordered categorical response model with endogenous switching: Simulation Exercises and an Application to State Health," Documentos de Trabajo de Valor Público 10608, Universidad EAFIT.
    • Handle: RePEc:col:000122:010608
    as

    Download full text from publisher

    File URL: http://repository.eafit.edu.co/bitstream/10784/581/1/2011-6%20Andres%20Ramirez%20Hassan.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michelle M. Mello & Sally C. Stearns & Edward C. Norton, 2002. "Do Medicare HMOs still reduce health services use after controlling for selection bias?," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 323-340, June.
    2. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    3. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, September.
    4. Mayer, D. G. & Kinghorn, B. P. & Archer, A. A., 2005. "Differential evolution - an easy and efficient evolutionary algorithm for model optimisation," Agricultural Systems, Elsevier, vol. 83(3), pages 315-328, March.
    5. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    6. Cardon, James H & Hendel, Igal, 2001. "Asymmetric Information in Health Insurance: Evidence from the National Medical Expenditure Survey," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 408-427, Autumn.
    Full references (including those not matched with items on IDEAS)

    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. Andrés Ramírez–Hassan & Rosember Guerra–Urzola, 2021. "Bayesian treatment effects due to a subsidized health program: the case of preventive health care utilization in Medellín (Colombia)," Empirical Economics, Springer, vol. 60(3), pages 1477-1506, March.
    2. Andrés Ramírez Hassan & Johnatan Cardona Jimenez & Ramiro Cadavid Montoya, 2011. "The impact of subsidized health insurance on the poor in Colombia: Evaluating the case of Medellin," Documentos de Trabajo de Valor Público 10602, Universidad EAFIT.
    3. Liverpool-Tasie, Lenis Saweda, 2012. "Targeted Subsidies and Private Market Participation: An Assessment of Fertilizer Demand in Nigeria:," IFPRI discussion papers 1194, International Food Policy Research Institute (IFPRI).
    4. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    5. Daniele Fabbri & Chiara Monfardini, 2016. "Opt Out or Top Up? Voluntary Health Care Insurance and the Public vs. Private Substitution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 75-93, February.
    6. Michael J. Boehm, 2013. "Has Job Polarization Squeezed the Middle Class? Evidence from the Allocation of Talents," CEP Discussion Papers dp1215, Centre for Economic Performance, LSE.
    7. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    8. Preety Srivastava & Gang Chen & Anthony Harris, 2017. "Oral Health, Dental Insurance and Dental Service use in Australia," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 35-53, January.
    9. Dan Shane; & Pravin Trivedi;, 2012. "What Drives Differences in Health Care Demand? The Role of Health Insurance and Selection Bias," Health, Econometrics and Data Group (HEDG) Working Papers 12/09, HEDG, c/o Department of Economics, University of York.
    10. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    11. Kraft Kornelius & Lang Julia, 2008. "The Causes and Consequences of Adopting a Works Council," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 512-532, October.
    12. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    13. Jacopo Mazza, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1225, Economics, The University of Manchester.
    14. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    15. Boehm, Michael J., 2013. "Has job polarization squeezed the middle class? Evidence from the allocation of talents," LSE Research Online Documents on Economics 51554, London School of Economics and Political Science, LSE Library.
    16. Giampiero Marra & Rosalba Radice & David M. Zimmer, 2020. "Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 953-971, August.
    17. Sarah Bridges & Louise Fox & Alessio Gaggero & Trudy Owens, 2013. "Labour Market Entry and Earnings: Evidence from Tanzanian Retrospective Data," Discussion Papers 13/05, University of Nottingham, CREDIT.
    18. Partha Deb & Pravin K. Trivedi, 2009. "Provider networks and primary‐care signups: do they restrict the use of medical services?," Health Economics, John Wiley & Sons, Ltd., vol. 18(12), pages 1361-1380, December.
    19. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.

    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:col:000122:010608. 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: Valor Público EAFIT - Centro de estudios e incidencia (email available below). General contact details of provider: https://edirc.repec.org/data/cieafco.html .

    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.