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Will increased wages increase nurses' working hours in the health care sector?

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  • Sæther, Erik Magnus

    (Ragnar Frisch Centre for Economic Research)

Abstract

Many registered nurses (RNs) in Norway work part-time, or in non-health jobs. The nurses’ trade organizations claim that a wage increase will increase the short-term labor supply in health care. This paper is an attempt to identify the effects of job-type specific wage increases through policy simulations on micro data. The individual’s labor supply decision can be considered as a choice from a set of discrete alternatives (job packages). These job packages are characterized by attributes such as hours of work, sector specific wages and other sector specific aspects of the jobs. The unique data set covers all RNs registered in Norway and their families. The spouses’ incomes and age of the children are vital when estimating the labor supply of this profession. For married females the results indicate job type specific wage elasticities for hours of work of 0.17 in hospitals and 0.39 in primary care. The total hours worked in health and non-health jobs are actually predicted to be slightly reduced, but the change is not significantly different from zero. Single females are somewhat more responsive to wage changes than married ones.

Suggested Citation

  • Sæther, Erik Magnus, 2009. "Will increased wages increase nurses' working hours in the health care sector?," HERO Online Working Paper Series 2004:7, University of Oslo, Health Economics Research Programme.
  • Handle: RePEc:hhs:oslohe:2004_007
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    File URL: http://www.hero.uio.no/publicat/2004/HERO2004_7.pdf
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    References listed on IDEAS

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    1. 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.
    2. 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..
    3. Emanuela Antonazzo & Anthony Scott & Diane Skatun & Robert. F. Elliott, 2003. "The labour market for nursing: a review of the labour supply literature," Health Economics, John Wiley & Sons, Ltd., vol. 12(6), pages 465-478, June.
    4. Phillips, V. L., 1995. "Nurses' labor supply: Participation, hours of work, and discontinuities in the supply function," Journal of Health Economics, Elsevier, vol. 14(5), pages 567-582, December.
    5. Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2003. "Wage policy in the health care sector: a panel data analysis of nurses' labour supply," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 705-719, September.
    6. Paul van den Noord & Terje Hagen & Tor Iversen, 1998. "The Norwegian Health Care System," OECD Economics Department Working Papers 198, OECD Publishing.
    7. Hirsch, Barry T. & Schumacher, Edward J., 1995. "Monopsony power and relative wages in the labor market for nurses," Journal of Health Economics, Elsevier, vol. 14(4), pages 443-476, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    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

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