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A discrete random effects probit model with application to the demand for preventive care

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  • Partha Deb

Abstract

I have developed a random effects probit model in which the distribution of the random intercept is approximated by a discrete density. Monte Carlo results show that only three to four points of support are required for the discrete density to closely mimic normal and chi‐squared densities and provide unbiased estimates of the structural parameters and the variance of the random intercept. The empirical application shows that both observed family characteristics and unobserved family‐level heterogeneity are important determinants of the demand for preventive care. Copyright © 2001 John Wiley & Sons, Ltd.

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  • Partha Deb, 2001. "A discrete random effects probit model with application to the demand for preventive care," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 371-383, July.
    • Handle: RePEc:wly:hlthec:v:10:y:2001:i:5:p:371-383
    DOI: 10.1002/hec.627
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    References listed on IDEAS

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    Cited by:

    1. Chun-Chih Chen & Yen-Ju Lin & Ying-Tzu Lin, 2013. "Awareness and utilization of preventive care services among the elderly under National Health Insurance," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 247-260, December.
    2. Francesco, Bartolucci & Silvia, Bacci & Claudia, Pigini, 2015. "A misspecification test for finite-mixture logistic models for clustered binary and ordered responses," MPRA Paper 64220, University Library of Munich, Germany.
    3. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    4. NicolasR. Ziebarth, 2010. "Estimating Price Elasticities of Convalescent Care Programmes," Economic Journal, Royal Economic Society, vol. 120(545), pages 816-844, June.
    5. Bago d'Uva, Teresa & Jones, Andrew M. & van Doorslaer, Eddy, 2009. "Measurement of horizontal inequity in health care utilisation using European panel data," Journal of Health Economics, Elsevier, vol. 28(2), pages 280-289, March.
    6. Hendrik Schmitz, 2012. "More health care utilization with more insurance coverage? Evidence from a latent class model with German data," Applied Economics, Taylor & Francis Journals, vol. 44(34), pages 4455-4468, December.
    7. Teresa Bago d'Uva, 2006. "Latent class models for utilisation of health care," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 329-343, April.
    8. Cheah, Yong Kang, 2018. "The utilization of diagnostic tests among the elderly: Evidence from Malaysia," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 121-128.
    9. Bartolucci, Francesco & Bacci, Silvia & Pigini, Claudia, 2017. "Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data," Econometrics and Statistics, Elsevier, vol. 3(C), pages 112-131.
    10. Óscar Lourenço & Carlota Quintal & Pedro Lopes Ferreira & Pedro Pita Barros, 2007. "A equidade na utilização de cuidados de saúde em Portugal: Uma avaliação baseada em modelos de contagem," Notas Económicas, Faculty of Economics, University of Coimbra, issue 25, pages 6-26, June.
    11. 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.
    12. Bago d'Uva, Teresa & Jones, Andrew M., 2009. "Health care utilisation in Europe: New evidence from the ECHP," Journal of Health Economics, Elsevier, vol. 28(2), pages 265-279, March.
    13. Fabbri, Daniele & Monfardini, Chiara, 2009. "Rationing the public provision of healthcare in the presence of private supplements: Evidence from the Italian NHS," Journal of Health Economics, Elsevier, vol. 28(2), pages 290-304, March.
    14. Teresa Bago d'Uva, 2005. "Latent class models for use of primary care: evidence from a British panel," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 873-892, September.
    15. Murasko, Jason E., 2006. "Gender differences in the management of risk factors for cardiovascular disease: The importance of insurance status," Social Science & Medicine, Elsevier, vol. 63(7), pages 1745-1756, October.
    16. Paul Contoyannis & Andrew M. Jones & Roberto Leon‐Gonzalez, 2004. "Using simulation‐based inference with panel data in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-122, February.
    17. Tian, Wei-Hua & Chen, Chin-Shyan & Liu, Tsai-Ching, 2010. "The demand for preventive care services and its relationship with inpatient services," Health Policy, Elsevier, vol. 94(2), pages 164-174, February.

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