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The contribution of resident physicians to hospital productivity

Author

Listed:
  • Maria J. Perez-Villadóniga

    (University of Oviedo)

  • Ana Rodriguez-Alvarez

    (University of Oviedo
    Oviedo Efficiency Group)

  • David Roibas

    (University of Oviedo
    Oviedo Efficiency Group)

Abstract

Resident physicians play a double role in hospital activity. They participate in medical practices and thus, on the one hand, they should be considered as an input. Also, they are medical staff in training and, on the other hand, must be considered as an output. The net effect on hospital activities should therefore be empirically determined. Additionally, when considering their role as active physicians, a natural hypothesis is that resident physicians are not more productive than senior ones. This is a property that standard logarithmic production functions (including Cobb–Douglas and Translog functional forms) cannot verify for the whole technology set. Our main contribution is the development of a Translog modification, which implies the definition of the input “doctors” as a weighted sum of senior and resident physicians, where the weights are estimated from the empirical application. This modification of the standard Translog is able, under suitable parameter restrictions, to verify our main hypothesis across the whole technology set while determining if the net effect of resident physicians in hospitals’ production should be associated to an output or to an input. We estimate the resulting output distance function frontier with a sample of Spanish hospitals. Our findings show that the overall contribution of resident physicians to hospitals’ production allows considering them as an input in most cases. In particular, their average productivity is around 37% of that corresponding to senior physicians.

Suggested Citation

  • Maria J. Perez-Villadóniga & Ana Rodriguez-Alvarez & David Roibas, 2022. "The contribution of resident physicians to hospital productivity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 301-312, March.
  • Handle: RePEc:spr:eujhec:v:23:y:2022:i:2:d:10.1007_s10198-021-01368-z
    DOI: 10.1007/s10198-021-01368-z
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    References listed on IDEAS

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    1. Sloan, Frank A. & Feldman, Roger D. & Steinwald, A. Bruce, 1983. "Effects of teaching on hospital costs," Journal of Health Economics, Elsevier, vol. 2(1), pages 1-28, March.
    2. Gary D. Ferrier & Hervé Leleu & Vivian G. Valdmanis & Michael Vardanyan, 2018. "A directional distance function approach for identifying the input/output status of medical residents," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 1006-1021, February.
    3. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    4. Grosskopf, Shawna & Margaritis, Dimitri & Valdmanis, Vivian, 2001. "The effects of teaching on hospital productivity," Socio-Economic Planning Sciences, Elsevier, vol. 35(3), pages 189-204, September.
    5. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
    6. Roger Feldman & Felix Lobo, 1997. "Global Budgets and Excess Demand for Hospital Care," Health Economics, John Wiley & Sons, Ltd., vol. 6(2), pages 187-196, March.
    7. Guillem López‐Casasnovas & Marc Saez, 1999. "The impact of teaching status on average costs in Spanish hospitals," Health Economics, John Wiley & Sons, Ltd., vol. 8(7), pages 641-651, November.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. Jensen, Gail A & Morrisey, Michael A, 1986. "The Role of Physicians in Hospital Production," The Review of Economics and Statistics, MIT Press, vol. 68(3), pages 432-442, August.
    10. repec:wly:hlthec:v:26:y:2017:i::p:5-22 is not listed on IDEAS
    11. Ana Rodríguez‐Álvarez & C. A. Knox Lovell, 2004. "Excess capacity and expense preference behaviour in National Health Systems: an application to the Spanish public hospitals," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 157-169, February.
    12. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
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    More about this item

    Keywords

    Medical residents; Hospital productivity; Distance functions; Non-linear stochastic frontier models;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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