IDEAS home Printed from https://ideas.repec.org/p/ris/wsuwpa/2018_009.html
   My bibliography  Save this paper

Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India

Author

Listed:

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 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 25 to 50 percent.

Suggested Citation

  • ILes, Richard, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University, revised 12 2018.
    • Handle: RePEc:ris:wsuwpa:2018_009
    Note: Updated from 2017-9
    as

    Download full text from publisher

    File URL: http://ses.wsu.edu/wp-content/uploads/2019/01/WP2018-9.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Institute of Transportation Studies, Working Paper Series qt02n9j6cv, Institute of Transportation Studies, UC Davis.
    13. 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.
    14. Hensher, David A. & Rose, John M. & Greene, William H., 2008. "Combining RP and SP data: biases in using the nested logit ‘trick’ – contrasts with flexible mixed logit incorporating panel and scale effects," Journal of Transport Geography, Elsevier, vol. 16(2), pages 126-133.
    15. 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.
    16. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    23. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
    24. 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.
    25. 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.
    26. 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.
    27. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Richard Andrew Iles, 2013. "Demand for primary healthcare in rural north India," 2013 Papers pil50, Job Market Papers.
    3. John C. Whitehead & Daniel K. Lew, 2020. "Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data," Empirical Economics, Springer, vol. 58(4), pages 2009-2029, April.
    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. Li, Zili & Washington, Simon P. & Zheng, Zuduo & Prato, Carlo G., 2023. "A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices," Journal of choice modelling, Elsevier, vol. 47(C).
    6. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    7. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
    8. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    9. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
    10. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
    11. Axsen, Jonn & Kurani, Kenneth S., 2013. "Hybrid, plug-in hybrid, or electric—What do car buyers want?," Energy Policy, Elsevier, vol. 61(C), pages 532-543.
    12. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    13. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    14. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    15. Dhaliwal, Iqbal & Hanna, Rema, 2017. "The devil is in the details: The successes and limitations of bureaucratic reform in India," Journal of Development Economics, Elsevier, vol. 124(C), pages 1-21.
    16. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    17. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    18. Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2008. "Impact of Service Station Networks on Purchase Decisions of Alternative-fuel Vehicles," ZEW Discussion Papers 08-088, ZEW - Leibniz Centre for European Economic Research.
    19. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    20. J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".

    More about this item

    Keywords

    Consumer demand; Absenteeism; Counterfactual; India;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    Statistics

    Access and download statistics

    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:ris:wsuwpa:2018_009. 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: Thomas Dahl (email available below). General contact details of provider: https://edirc.repec.org/data/ecwsuus.html .

    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.