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Moonlighting: public service and private practice

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  • Gary Biglaiser
  • Ching-to Albert Ma

Abstract

We study dual job incentives with a focus on public-service physicians referring patients to their private practices. We call this moonlighting. Not all physicians moonlight; we introduce a group of dedicated doctors who in the base models behave sincerely in the public system. Allowing moonlighting always enhances aggregate consumer welfare. The equilibrium care quality in the public system may increase or decrease; in the former situation, the policy allowing moonlighting improves each consumer’s expected utility. Unregulated moonlighting may be detrimental to consumer welfare when it leads to adverse behavioral reactions such as moonlighters shirking more in the public system, and dedicated doctors abandoning their sincere behavior. Price regulation in the private market tradeoffs the efficiency gain from moonlighting against the loss due to adverse behavior in the public system and improve consumer welfare.
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Suggested Citation

  • Gary Biglaiser & Ching-to Albert Ma, 2007. "Moonlighting: public service and private practice," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1113-1133, December.
    • Handle: RePEc:bla:randje:v:38:y:2007:i:4:p:1113-1133
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    File URL: http://hdl.handle.net/10.1111/j.0741-6261.2007.00128.x
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    1. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, September.
    2. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    3. Granger, Clive W. J. & Terasvirta, Timo, 1999. "A simple nonlinear time series model with misleading linear properties," Economics Letters, Elsevier, vol. 62(2), pages 161-165, February.
    4. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    5. Lobato, Ignacio N & Savin, N E, 1998. "Real and Spurious Long-Memory Properties of Stock-Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 261-268, July.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. Besley, Timothy & Hall, John & Preston, Ian, 1998. "Private and public health insurance in the UK," European Economic Review, Elsevier, vol. 42(3-5), pages 491-497, May.
    8. Alger, Ingela & Albert Ma, Ching-to, 2003. "Moral hazard, insurance, and some collusion," Journal of Economic Behavior & Organization, Elsevier, vol. 50(2), pages 225-247, February.
    9. Timothy Besley & Maitreesh Ghatak, 2005. "Competition and Incentives with Motivated Agents," American Economic Review, American Economic Association, vol. 95(3), pages 616-636, June.
    10. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, September.
    11. Abhijit V. Banerjee, 1997. "A Theory of Misgovernance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1289-1332.
    12. Yeon-Koo Che, 1995. "Revolving Doors and the Optimal Tolerance for Agency Collusion," RAND Journal of Economics, The RAND Corporation, vol. 26(3), pages 378-397, Autumn.
    13. Iversen, Tor, 1997. "The effect of a private sector on the waiting time in a national health service," Journal of Health Economics, Elsevier, vol. 16(4), pages 381-396, August.
    14. Gourieroux, Christian & Jasiak, Joann, 2001. "Memory and infrequent breaks," Economics Letters, Elsevier, vol. 70(1), pages 29-41, January.
    15. Clifford M. Hurvich & Rohit Deo & Julia Brodsky, 1998. "The mean squared error of Geweke and Porter‐Hudak's estimator of the memory parameter of a long‐memory time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(1), pages 19-46, January.
    16. Pedro Pita Barros & Xavier Martinez‐Giralt, 2002. "Public and Private Provision of Health Care," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(1), pages 109-133, March.
    17. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    18. Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
    19. Iliyan GEORGIEV, 2002. "Functional Weak Limit Theory for Rare Outlying Events," Economics Working Papers ECO2002/22, European University Institute.
    20. Engle, Robert F & Smith, Aaron, 1998. "Stochastic Permanent Breaks," University of California at San Diego, Economics Working Paper Series qt99v0s0zx, Department of Economics, UC San Diego.
    21. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    22. Phillips, Peter C.B., 2007. "Unit root log periodogram regression," Journal of Econometrics, Elsevier, vol. 138(1), pages 104-124, May.
    23. John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
    24. Pedro Pita Barros & Pau Olivella, 2005. "Waiting Lists and Patient Selection," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(3), pages 623-646, September.
    25. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    26. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November.
    27. Granger, Clive W. J. & Ding, Zhuanxin, 1996. "Varieties of long memory models," Journal of Econometrics, Elsevier, vol. 73(1), pages 61-77, July.
    28. Ma, Ching-to Albert, 1994. "Health Care Payment Systems: Cost and Quality Incentives," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 3(1), pages 93-112, Spring.
    29. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    30. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    31. Neil Rickman & Alistair McGuire, 1999. "Regulating Providers’ Reimbursement in a Mixed Market for Health Care," Scottish Journal of Political Economy, Scottish Economic Society, vol. 46(1), pages 53-71, February.
    32. Paula González, 2004. "Should physicians' dual practice be limited? An incentive approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 505-524, June.
    33. Ma, Ching-to Albert, 2004. "Public rationing and private cost incentives," Journal of Public Economics, Elsevier, vol. 88(1-2), pages 333-352, January.
    34. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    35. Leipus, Remigijus & Viano, Marie-Claude, 2003. "Long memory and stochastic trend," Statistics & Probability Letters, Elsevier, vol. 61(2), pages 177-190, January.
    36. Vadim Teverovsky & Murad Taqqu, 1997. "Testing for long‐range dependence in the presence of shifting means or a slowly declining trend, using a variance‐type estimator," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(3), pages 279-304, May.
    37. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
    38. repec:bla:jemstr:v:3:y:1994:i:1:p:93-112:a is not listed on IDEAS
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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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