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Government doctor absenteeism and its effects on consumer demand in rural north India

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  • Richard A. Iles

Abstract

Government doctor absenteeism from their public posts is a sizable problem across developing economies. The consumer demand estimation for outpatient fever treatment presented in this paper investigates the interrelationship between government doctor absenteeism and the large informal healthcare sector. Using a counterfactual framework, this paper estimates treatment effect of eliminating government doctor absenteeism. The effects are measured by changes to the market share of government Bachelor of Medicine and Bachelor of Surgery (MBBS) providers and resulting own‐price elasticities of demand for government MBBS providers and unqualified providers. Modelling incorporates patients expected health outcomes by provider via the use of a qualitative measure of word‐of‐mouth recommendations. Results indicate that eliminating government MBBS provider absenteeism in North India would increase utilisation of government outpatient fever treatments from 18% to 50%.

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  • Richard A. Iles, 2019. "Government doctor absenteeism and its effects on consumer demand in rural north India," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 475-491, April.
    • Handle: RePEc:wly:hlthec:v:28:y:2019:i:4:p:475-491
    DOI: 10.1002/hec.3858
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    1. Charles F. Manski, 2013. "Response to the Review of ‘Public Policy in an Uncertain World’," Economic Journal, Royal Economic Society, vol. 0, pages 412-415, August.
    2. repec:pri:rpdevs:hammer_the_impact_of_recall_periods_on_reported_morbidity_and_health_seeking_behavior.pdf is not listed on IDEAS
    3. Nazmul Chaudhury & Jeffrey Hammer & Michael Kremer & Karthik Muralidharan & F. Halsey Rogers, 2006. "Missing in Action: Teacher and Health Worker Absence in Developing Countries," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 91-116, Winter.
    4. Hensher, David A., 2012. "Accounting for scale heterogeneity within and between pooled data sources," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 480-486.
    5. Gertler, Paul & Locay, Luis & Sanderson, Warren, 1987. "Are user fees regressive? : The welfare implications of health care financing proposals in Peru," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 67-88.
    6. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    7. Martina Björkman & Jakob Svensson, 2009. "Power to the People: Evidence from a Randomized Field Experiment on Community-Based Monitoring in Uganda," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 735-769.
    8. Das, Jishnu & Hammer, Jeffrey, 2007. "Money for nothing: The dire straits of medical practice in Delhi, India," Journal of Development Economics, Elsevier, vol. 83(1), pages 1-36, May.
    9. Fwu‐Ranq Chang & Pravin K. Trivedi, 2003. "Economics of self‐medication: theory and evidence," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 721-739, September.
    10. Arthur Campbell, 2013. "Word-of-Mouth Communication and Percolation in Social Networks," American Economic Review, American Economic Association, vol. 103(6), pages 2466-2498, October.
    11. Abhijit Banerjee & Angus Deaton & Esther Duflo, 2004. "Wealth, Health, and Health Services in Rural Rajasthan," American Economic Review, American Economic Association, vol. 94(2), pages 326-330, May.
    12. Dow, W.H., 1995. "Unconditional Demand for Curative Health Inputs: Does Selection on Health Status Matter in the Long Run?," Papers 740, Yale - Economic Growth Center.
    13. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    14. David E. Sahn & Stephen D. Younger & Garance Genicot, 2003. "The Demand for Health Care Services in Rural Tanzania," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 241-260, May.
    15. Das, Jishnu & Hammer, Jeffrey & Sánchez-Paramo, Carolina, 2012. "The impact of recall periods on reported morbidity and health seeking behavior," Journal of Development Economics, Elsevier, vol. 98(1), pages 76-88.
    16. Elisabetta Cherchi & Juan de Dios Ortúzar, 2011. "On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity," Transportation Science, INFORMS, vol. 45(1), pages 98-108, February.
    17. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    18. McPake, Barbara & Russo, Giuliano & Tseng, Fu-Min, 2014. "How do dual practitioners divide their time? The cases of three African capital cities," Social Science & Medicine, Elsevier, vol. 122(C), pages 113-121.
    19. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    20. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    21. Bijan J. Borah, 2006. "A mixed logit model of health care provider choice: analysis of NSS data for rural India," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 915-932, September.
    22. Leonard, Kenneth L. & Adelman, Sarah W. & Essam, Timothy, 2009. "Idle chatter or learning? Evidence of social learning about clinicians and the health system from rural Tanzania," Social Science & Medicine, Elsevier, vol. 69(2), pages 183-190, July.
    23. Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
    24. Richard A Iles, 2018. "Informal healthcare sector and marginalized groups: Repeat visits in rural North India," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-14, July.
    25. Holte, Jon Helgheim & Kjaer, Trine & Abelsen, Birgit & Olsen, Jan Abel, 2015. "The impact of pecuniary and non-pecuniary incentives for attracting young doctors to rural general practice," Social Science & Medicine, Elsevier, vol. 128(C), pages 1-9.
    26. Bloom, Gerald & Standing, Hilary & Lloyd, Robert, 2008. "Markets, information asymmetry and health care: Towards new social contracts," Social Science & Medicine, Elsevier, vol. 66(10), pages 2076-2087, May.
    27. Jishnu Das & Alaka Holla & Aakash Mohpal & Karthik Muralidharan, 2016. "Quality and Accountability in Health Care Delivery: Audit-Study Evidence from Primary Care in India," American Economic Review, American Economic Association, vol. 106(12), pages 3765-3799, December.
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