IDEAS home Printed from https://ideas.repec.org/p/hhs/oslohe/2005_001.html
   My bibliography  Save this paper

Wage Policies for Health Personnel - Essays on the Wage Impact on Hours of Work and Practice Choice

Author

Listed:
  • Sæther, Erik Magnus

    (Ragnar Frisch Centre for Economic Research)

Abstract

This thesis aims to explore the short-term impact of increased wages on the working hours of health personnel and their practice choice. An additional objective is to identify existing compensating differentials in the job market for health personnel.

Suggested Citation

  • Sæther, Erik Magnus, 2009. "Wage Policies for Health Personnel - Essays on the Wage Impact on Hours of Work and Practice Choice," HERO Online Working Paper Series 2005:1, University of Oslo, Health Economics Research Programme.
  • Handle: RePEc:hhs:oslohe:2005_001
    as

    Download full text from publisher

    File URL: http://www.hero.uio.no/publicat/2005/HERO2005_1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lanfranchi, Joseph & Ohlsson, Henry & Skalli, Ali, 2002. "Compensating wage differentials and shift work preferences," Economics Letters, Elsevier, vol. 74(3), pages 393-398, February.
    2. Aaberge, Rolf & Dagsvik, John K & Strom, Steinar, 1995. " Labor Supply Responses and Welfare Effects of Tax Reforms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(4), pages 635-659, December.
    3. Aaberge, Rolf & Colombino, Ugo & Strom, Steinar, 1999. "Labour Supply in Italy: An Empirical Analysis of Joint Household Decisions, with Taxes and Quantity Constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 403-422, July-Aug..
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Charles R. Link, 1988. "Returns to Nursing Education: 1970-84," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 372-387.
    6. Hwang, Hae-shin & Reed, W Robert & Hubbard, Carlton, 1992. "Compensating Wage Differentials and Unobserved Productivity," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 835-858, August.
    7. Lanfranchi, Joseph & Ohlsson, Henry & Skalli, Ali, 2002. "Compensating wage differentials and shift work preferences," Economics Letters, Elsevier, vol. 74(3), pages 393-398, February.
    8. Hamermesh, Daniel S, 1999. "The Timing of Work over Time," Economic Journal, Royal Economic Society, vol. 109(452), pages 37-66, January.
    9. Paul van den Noord & Terje Hagen & Tor Iversen, 1998. "The Norwegian Health Care System," OECD Economics Department Working Papers 198, OECD Publishing.
    10. repec:eee:labchp:v:1:y:1986:i:c:p:641-692 is not listed on IDEAS
    11. LaVonne A. Booton & Julia I. Lane, 1985. "Hospital Market Structure and the Return to Nursing Education," Journal of Human Resources, University of Wisconsin Press, vol. 20(2), pages 184-196.
    12. Kostiuk, Peter F, 1990. "Compensating Differentials for Shift Work," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1054-1075, October.
    13. Edward J. Schumacher & Barry T. Hirsch, 1997. "Compensating Differentials and Unmeasured Ability in the Labor Market for Nurses: Why Do Hospitals Pay More?," ILR Review, Cornell University, ILR School, vol. 50(4), pages 557-579, July.
    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. Sæther, Erik Magnus, 2009. "Compensating differentials for nurses," HERO Online Working Paper Series 2004:10, University of Oslo, Health Economics Research Programme.
    2. Sæther, Erik Magnus, 2009. "Nurses’ labor supply with endogenous choice of care level and shift type A nested discrete choice model with nonlinear income," HERO Online Working Paper Series 2004:9, University of Oslo, Health Economics Research Programme.
    3. Di Tommaso, M.L. & Strøm, S. & Sæther, E.M., 2009. "Nurses wanted: Is the job too harsh or is the wage too low?," Journal of Health Economics, Elsevier, vol. 28(3), pages 748-757, May.
    4. Lanfranchi, Joseph & Ohlsson, Henry & Skalli, Ali, 2002. "Compensating wage differentials and shift work preferences," Economics Letters, Elsevier, vol. 74(3), pages 393-398, February.
    5. Toru Kikuchi & Sugata Marjit & Biswajit Mandal, 2013. "Trade with Time Zone Differences: Factor Market Implications," Review of Development Economics, Wiley Blackwell, vol. 17(4), pages 699-711, November.
    6. Senney, Garrett T. & Dunn, Lucia F., 2019. "The role of work schedules and the macroeconomy on labor effort," Labour Economics, Elsevier, vol. 57(C), pages 23-34.
    7. MORIKAWA Masayuki, 2010. "Insecurity of Employment and Work-Life Balance: From the viewpoint of compensating wage differentials," Discussion papers 10052, Research Institute of Economy, Trade and Industry (RIETI).
    8. Nikolaos Georgantzis & Efi Vasileiou, 2014. "Are Dangerous Jobs Paid Better? European Evidence," Research in Labor Economics, in: New Analyses of Worker Well-Being, volume 38, pages 163-192, Emerald Group Publishing Limited.
    9. Joseph Lanfranchi & Henry Ohlsson & Ali Skalli, 2004. "Action collective et différences compensatrices : le cas des travailleurs masculins à horaires atypiques," Economie & Prévision, La Documentation Française, vol. 0(3), pages 57-79.
    10. Serena Yu & David Peetz, 2019. "Non‐Standard Time Wage Premiums and Employment Effects: Evidence from an Australian Natural Experiment," British Journal of Industrial Relations, London School of Economics, vol. 57(1), pages 33-61, March.
    11. Jos Van Ommeren & Mihails Hazans, 2008. "Workers' Valuation of the Remaining Employment Contract Duration," Economica, London School of Economics and Political Science, vol. 75(297), pages 116-139, February.
    12. Felipe Miranda & Juan Carlos Muñoz & Juan de Dios Ortúzar, 2008. "Identifying Transit Driver Preferences for Work Shift Structures: An Econometric Analysis," Transportation Science, INFORMS, vol. 42(1), pages 70-86, February.
    13. Sam Desiere & Christian Walker, 2023. "The Shift Premium: Evidence From A Discrete Choice Experiment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1074, Ghent University, Faculty of Economics and Business Administration.
    14. Barry T. Hirsch & Edward J. Schumacher, 2012. "Underpaid or Overpaid? Wage Analysis for Nurses Using Job and Worker Attributes," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1096-1119, April.
    15. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.
    16. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    17. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    18. Kabátek, Jan & van Soest, Arthur & Stancanelli, Elena, 2014. "Income taxation, labour supply and housework: A discrete choice model for French couples," Labour Economics, Elsevier, vol. 27(C), pages 30-43.
    19. Matsuoka, Yuji & Fukushima, Marcelo, 2010. "Time zones, shift working and international outsourcing," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 769-778, October.
    20. Nicole Maestas & Kathleen J. Mullen & David Powell & Till von Wachter & Jeffrey B. Wenger, 2023. "The Value of Working Conditions in the United States and the Implications for the Structure of Wages," American Economic Review, American Economic Association, vol. 113(7), pages 2007-2047, July.

    More about this item

    Keywords

    physicians; registered nurses; discrete choice; non-convex budget sets; labor supply; sector-specific wages;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:oslohe:2005_001. 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: Kristi Brinkmann Lenander (email available below). General contact details of provider: https://edirc.repec.org/data/heuiono.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.