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A mixed logit model of health care provider choice: analysis of NSS data for rural India

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  • Bijan J. Borah

    (Economics Department, Indiana University, IN, USA)

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    Abstract

    In order to address the persistent problems of access to and delivery of health care in rural India, a better understanding of the individual provider choice decision is required. This paper is an attempt in this direction as it investigates the determinants of outpatient health care provider choice in rural India in the mixed multinomial logit (MMNL) framework. This is the first application of the mixed logit to the modeling of health care utilization. We also use the multiple imputation technique to impute the missing prices of providers that an individual did not visit when she was ill. Using data from National Sample Survey Organization of India, we find the following: price and distance to a health facility play significant roles in health care provider choice decision; when health status is poor, distance plays a less significant role in an adult's provider choice decision; price elasticity of demand for outpatient care varies with income, with low-income groups being more price-sensitive than high-income ones. Furthermore, outpatient care for children is more price-elastic than that for adults, which reflects the socio-economic structure of a typical household in rural India where an adult's health is more important than that of a child for the household's economic sustenance. Copyright © 2006 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.1166
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 15 (2006)
    Issue (Month): 9 ()
    Pages: 915-932

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    Handle: RePEc:wly:hlthec:v:15:y:2006:i:9:p:915-932

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    Cited by:
    1. Jacky MATHONNAT & Yong HE & Martine AUDIBERT, 2013. "Multinomial and Mixed Logit Modeling in the Presence of Heterogeneity: A Two-Period Comparison of Healthcare Provider Choice in Rural China," Working Papers 201314, CERDI.
    2. Raza, W.A. & Panda, P. & Van de Poel, E. & Dror, D.M. & Bedi, A.S., 2013. "Healthcare Seeking Behavior among Self-help Group Households in Rural Bihar and Uttar Pradesh, India," ISS Working Papers - General Series 575, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    3. Masters, Samuel H. & Burstein, Roy & Amofah, George & Abaogye, Patrick & Kumar, Santosh & Hanlon, Michael, 2013. "Travel time to maternity care and its effect on utilization in rural Ghana: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 93(C), pages 147-154.
    4. Sosa-Rubí, Sandra G. & Galárraga, Omar & Harris, Jeffrey E., 2009. "Heterogeneous impact of the "Seguro Popular" program on the utilization of obstetrical services in Mexico, 2001-2006: A multinomial probit model with a discrete endogenous variable," Journal of Health Economics, Elsevier, vol. 28(1), pages 20-34, January.
    5. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers 022cherp, Centre for Health Economics, University of York.
    6. Qian, Dongfu & Lucas, Henry & Chen, Jiaying & Xu, Ling & Zhang, Yaoguang, 2010. "Determinants of the use of different types of health care provider in urban China: A tracer illness study of URTI," Health Policy, Elsevier, vol. 98(2-3), pages 227-235, December.
    7. Santosh Kumar & Emily Dansereau, 2014. "Supply-Side Barriers to Maternity-Care Provision in India: A Facility-Based Analysis," Working Papers 1406, Sam Houston State University, Department of Economics and International Business.
    8. Kjaer, Trine & Gyrd-Hansen, Dorte, 2008. "Preference heterogeneity and choice of cardiac rehabilitation program: Results from a discrete choice experiment," Health Policy, Elsevier, vol. 85(1), pages 124-132, January.
    9. Kumar, Santosh & Dansereau, Emily & Murray, Chris, 2012. "Does Distance matter for Institutional Delivery in Rural India? An Instrumental Variable Approach," MPRA Paper 45762, University Library of Munich, Germany, revised 01 Jan 2013.
    10. Jacky MATHONNAT & Yong HE & Martine AUDIBERT, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers 201315, CERDI.
    11. Richard Andrew Iles, 2013. "Demand for primary healthcare in rural north India," 2013 Papers pil50, Job Market Papers.
    12. Erlyana, Erlyana & Damrongplasit, Kannika Kampanya & Melnick, Glenn, 2011. "Expanding health insurance to increase health care utilization: Will it have different effects in rural vs. urban areas?," Health Policy, Elsevier, vol. 100(2), pages 273-281.

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