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Assessing household health expenditure with Box–Cox censoring models

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  • Jean‐Paul Chaze

Abstract

In order to assess the combined presence of zero expenditures and a heavily skewed distribution of positive expenditures, the Box–Cox transformation with location parameter is used to define a set of models generalising the standard Tobit, Heckman selection and double‐hurdle models. Extended flexibility with respect to previous specifications is introduced, notably regarding negative transformation parameters, which may prove necessary for medical expenditures, and corner‐solution outcomes. An illustration is provided by the analysis of household health expenditure in Switzerland. Copyright © 2005 John Wiley & Sons, Ltd.

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  • Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    • Handle: RePEc:wly:hlthec:v:14:y:2005:i:9:p:893-907
    DOI: 10.1002/hec.1042
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    References listed on IDEAS

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    1. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    2. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    3. Yen, Steven & Dellenbarger, Lynn E. & Schupp, Alvin R., 1995. "Determinants of Participation and Consumption: The Case of Crawfish in South Louisiana," Staff General Research Papers Archive 874, Iowa State University, Department of Economics.
    4. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    5. Yen, Steven T. & Dellenbarger, Lynn E. & Schupp, Alvin R., 1995. "Determinants Of Participation And Consumption: The Case Of Crawfish In South Louisiana," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(1), pages 1-10, July.
    6. Steven T. Yen, 1993. "Working Wives and Food away from Home: The Box-Cox Double Hurdle Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 884-895.
    7. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    8. Huang, Cliff J & Grawe, Oliver R, 1980. "Functional Forms and the Demand for Meat in the United States: A Comment," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 144-146, February.
    9. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    10. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    11. Jones, Andrew M & Yen, Steven T, 2000. "A Box-Cox Double-Hurdle Model," Manchester School, University of Manchester, vol. 68(2), pages 203-221, March.
    12. Jason Abrevaya, 2002. "Computing Marginal Effects In The Box-Cox Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 383-393.
    13. Lankford, R Hamilton & Wyckoff, James H, 1991. "Modeling Charitable Giving Using a Box-Cox Standard Tobit Model," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 460-470, August.
    14. Chang, Hui-shyong, 1980. "Functional Forms and the Demand for Meat in the United States: A Reply," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 148-150, February.
    15. Yen, S. T. & Dellenbarger, L. E. & Schupp, A. R., 1995. "Determinants of Participation and Consumption: The Case of Crawfish in South Louisiana," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(1), pages 253-262, July.
    16. Hay, Joel W & Olsen, Randall J, 1984. "Let Them Eat Cake: A Note on Comparing Alternative Models of the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 279-282, July.
    17. Blough, David K. & Madden, Carolyn W. & Hornbrook, Mark C., 1999. "Modeling risk using generalized linear models," Journal of Health Economics, Elsevier, vol. 18(2), pages 153-171, April.
    18. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    2. Albouy, Valerie & Davezies, Laurent & Debrand, Thierry, 2010. "Health expenditure models: A comparison using panel data," Economic Modelling, Elsevier, vol. 27(4), pages 791-803, July.
    3. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    4. Kyriopoulos, Ilias & Nikoloski, Zlatko & Mossialos, Elias, 2019. "The impact of the Greek economic adjustment programme on household health expenditure," Social Science & Medicine, Elsevier, vol. 222(C), pages 274-284.
    5. Alice sanwald & Engelbert Theurl, 2014. "What drives out-of pocket health expenditures of private households? - Empirical evidence from the Austrian household budget survey," Working Papers 2014-04, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Valerie Albouy & Laurent Davezies & Thierry Debrand, 2009. "Dynamic Estimation of Health Expenditure: A new approach for simulating individual expenditure," Working Papers DT20, IRDES institut for research and information in health economics, revised Jan 2009.
    7. Alice Sanwald & Engelbert Theurl, 2014. "Out-of-pocket expenditures of private households for dental services - Empirical evidence from Austria," Working Papers 2014-30, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Steven C. Hill & G. Edward Miller, 2010. "Health expenditure estimation and functional form: applications of the generalized gamma and extended estimating equations models," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 608-627, May.

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