IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v22y2002i2p152-162.html
   My bibliography  Save this article

Bayesian Extensions of the Tobit Model for Analyzing Measures of Health Status

Author

Listed:
  • Peter C. Austin

    (Institute for Clinical Evaluative Sciences, North York, Ontario, Canada, and the Department of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada)

Abstract

Self-reported health status is often measured using utility indices that provide a score intended to summarize an individual’s health. Measurements of health status can be subject to a ceiling effect. Frequently, researchers want to examine relationships between determinants of health and measures of health status. In this article, Bayesian extensions of the classical Tobit model are used to study the relationship between health status and predictors of health. The author examined models where the conditional distribution of health status was either normal or lognormal, and allowed for both homoscedasticity and heteroscedasticity. Bayes factors were then used to compare the evidence for a given model against that for a competing model. The author found very strong evidence that the distribution of the Health Utilities Index, conditional on age, gender, income adequacy, and number of chronic conditions, was normal with nonuniform variance, compared to the competing models.

Suggested Citation

  • Peter C. Austin, 2002. "Bayesian Extensions of the Tobit Model for Analyzing Measures of Health Status," Medical Decision Making, , vol. 22(2), pages 152-162, April.
  • Handle: RePEc:sae:medema:v:22:y:2002:i:2:p:152-162
    DOI: 10.1177/0272989X0202200212
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X0202200212
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X0202200212?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Steven Wei, 1999. "A bayesian approach to dynamic tobit models," Econometric Reviews, Taylor & Francis Journals, vol. 18(4), pages 417-439.
    2. Barton H. Hamilton, 1999. "HMO selection and Medicare costs: Bayesian MCMC estimation of a robust panel data tobit model with survival," Health Economics, John Wiley & Sons, Ltd., vol. 8(5), pages 403-414, August.
    3. Kai, Li, 1998. "Bayesian inference in a simultaneous equation model with limited dependent variables," Journal of Econometrics, Elsevier, vol. 85(2), pages 387-400, August.
    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. Harindra C. Wijeysundera & George Tomlinson & Colleen M. Norris & William A. Ghali & Dennis T. Ko & Murray D. Krahn, 2011. "Predicting EQ-5D Utility Scores from the Seattle Angina Questionnaire in Coronary Artery Disease," Medical Decision Making, , vol. 31(3), pages 481-493, May.
    2. Shengxiang Sang & Wei Liao & Ning Kang & Xueyan Wu & Ze Hu & Xiaotian Liu & Hongjian Zhang & Chongjian Wang, 2024. "Health-related quality of life assessed by EQ-5D-5L and its determinants among rural adults: result from the Henan rural cohort study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 21-30, February.

    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. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
    2. Lachos, Victor H. & Prates, Marcos O. & Dey, Dipak K., 2021. "Heckman selection-t model: Parameter estimation via the EM-algorithm," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
    3. Joshua C. C. Chan & Justin L. Tobias, 2015. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 650-674, June.
    4. Chavas, Jean-Paul & Kim, Kwansoo, 2005. "An Econometric Analysis of Price Dynamics in the Presence of a Price Floor: The Case of American Cheese," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(1), pages 1-15, April.
    5. Jorge E. Araña & Carmelo J. León, 2012. "Scale-perception bias in the valuation of environmental risks," Applied Economics, Taylor & Francis Journals, vol. 44(20), pages 2607-2617, July.
    6. Singh, Sonika & Ratchford, Brian T. & Prasad, Ashutosh, 2014. "Offline and Online Search in Used Durables Markets," Journal of Retailing, Elsevier, vol. 90(3), pages 301-320.
    7. Kim, Kwansoo & Chavas, Jean-Paul, 2002. "A Dynamic Analysis Of The Effects Of A Price Support Program On Price Dynamics And Price Volatility," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-20, December.
    8. Ordoñez-Callamand, Daniel & Hernandez-Leal, Juan D. & Villamizar-Villegas, Mauricio, 2018. "When multiple objectives meet multiple instruments: Identifying simultaneous monetary shocks," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 78-101.
    9. Luc Bauwens & Michel Lubrano, 2007. "Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 469-486.
    10. Herriges, Joseph & Kling, Catherine & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 67-81, January.
    11. Brownstone, David & Fang, Hao (Audrey), 2014. "A vehicle ownership and utilization choice model with endogenous residential density," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 135-151.
    12. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.
    13. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    14. Jean-Paul Chavas & Kwansoo Kim, 2006. "An econometric analysis of the effects of market liberalization on price dynamics and price volatility," Empirical Economics, Springer, vol. 31(1), pages 65-82, March.
    15. Nadarajah Saralees, 2007. "A Truncated Bivariate t Distribution," Stochastics and Quality Control, De Gruyter, vol. 22(2), pages 303-313, January.
    16. Li, Kai & Poirier, Dale J., 2003. "An econometric model of birth inputs and outputs for Native Americans," Journal of Econometrics, Elsevier, vol. 113(2), pages 337-361, April.
    17. Mingliang Li, 2006. "High school completion and future youth unemployment: new evidence from High School and Beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 23-53, January.
    18. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
    19. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    20. Chakravarty, Sugato & Li, Kai, 2003. "A Bayesian analysis of dual trader informativeness in futures markets," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 355-371, May.

    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:sae:medema:v:22:y:2002:i:2:p:152-162. 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: SAGE Publications (email available below). General contact details of provider: .

    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.