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Nurses Wanted. Is the job too harsh or is the wage too low?

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  • Maria Laura Di Tommaso

    ()

  • S. Strøm

    ()

  • E. M. Sæther

    ()

Abstract

When entering the job market, nurses choose among different kind of jobs. Each of these jobs is characterized by wage, sector (primary care or hospital) and shift (daytime work or night shift). This paper estimates a multi-sector-job-type random utility model of labor supply on data for Norwegian registered nurses in 2000. The empirical model implies that labor supply is rather inelastic; 10 percent increase in the wage rates for all nurses is estimated to yield 3.3 percent increase in overall labor supply. This modest response shadows for much stronger inter job-type responses. Our approach differs from previous studies with respect to the measurement of the compensations for different types of work. So far, it has been focused on wage differentials. But there are more attributes of a job than the wage. Based on the estimated random utility model we therefore calculate the expected value of compensation that makes a utility maximizing agent indifferent between types of jobs, here between shift work and daytime work. It turns out that Norwegian nurses working night shifts may be willing to work night shift for lower wage than the current one.

Suggested Citation

  • Maria Laura Di Tommaso & S. Strøm & E. M. Sæther, 2007. "Nurses Wanted. Is the job too harsh or is the wage too low?," CHILD Working Papers wp11_07, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
  • Handle: RePEc:wpc:wplist:wp11_07
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    References listed on IDEAS

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    1. Askildsen, Jan Erik & Baltagi, Badi H. & Holmås, Tor Helge, 2002. "Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply," Working Papers in Economics 21/02, University of Bergen, Department of Economics.
    2. Dagsvik, John K. & Locatelli, Marilena & Strøm, Steinar, 2006. "Simulating labor supply behavior when workers have preferences for job opportunities and face nonlinear budget constraints," Memorandum 20/2006, Oslo University, Department of Economics.
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    8. Elliott, Robert F. & Ma, Ada H.Y. & Scott, Anthony & Bell, David & Roberts, Elizabeth, 2007. "Geographically differentiated pay in the labour market for nurses," Journal of Health Economics, Elsevier, vol. 26(1), pages 190-212, January.
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    12. Shields, Michael A. & Ward, Melanie, 2001. "Improving nurse retention in the National Health Service in England: the impact of job satisfaction on intentions to quit," Journal of Health Economics, Elsevier, vol. 20(5), pages 677-701, September.
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    14. John K. Dagsvik & Anders Karlström, 2005. "Compensating Variation and Hicksian Choice Probabilities in Random Utility Models that are Nonlinear in Income," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 57-76.
    15. Lanfranchi, Joseph & Ohlsson, Henry & Skalli, Ali, 2002. "Compensating wage differentials and shift work preferences," Economics Letters, Elsevier, vol. 74(3), pages 393-398, February.
    16. Michael A. Shields, 2004. "Addressing nurse shortages: what can policy makers learn from the econometric evidence on nurse labour supply?," Economic Journal, Royal Economic Society, vol. 114(499), pages 464-498, November.
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    Citations

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    Cited by:

    1. Leif Andreassen & Maria Laura Di Tommaso & Steinar Strøm, 2014. "Wages Anatomy. Labor Supply of Nurses and a Comparison with Physicians," CESifo Working Paper Series 5084, CESifo Group Munich.
    2. Hanel, Barbara & Kalb, Guyonne & Scott, Anthony, 2014. "Nurses’ labour supply elasticities: The importance of accounting for extensive margins," Journal of Health Economics, Elsevier, vol. 33(C), pages 94-112.
    3. Alessandro Fedele, 2015. "Well-Paid Nurses are Good Nurses," BEMPS - Bozen Economics & Management Paper Series BEMPS24, Faculty of Economics and Management at the Free University of Bozen.
    4. repec:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1116-2 is not listed on IDEAS
    5. Schweri, Juerg & Hartog, Joop, 2014. "Do wage expectations influence the decision to enroll in nursing college?," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100542, Verein für Socialpolitik / German Economic Association.
    6. Lang, Julia & Dauth, Christine, 2017. "Should the unemployed care for the elderly? The effect of subsidized occupational and further training in geriatric care," Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168130, Verein für Socialpolitik / German Economic Association.
    7. repec:eee:jeborg:v:141:y:2017:i:c:p:135-150 is not listed on IDEAS
    8. Jean-Baptiste Combes & Eric Delattre & Bob Elliott & Diane Skåtun, 2015. "Hospital staffing and local pay: an investigation into the impact of local variations in the competitiveness of nurses’ pay on the staffing of hospitals in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(7), pages 763-780, September.
    9. Rowena Crawford & Richard Disney & Carl Emmerson, 2015. "The short run elasticity of National Health Service nurses’ labour supply in Great Britain," IFS Working Papers W15/04, Institute for Fiscal Studies.

    More about this item

    Keywords

    Nurse labor supply; multi-sectoral; shift-work;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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