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Nurses Wanted. Is the Job Too Harsh or is the Wage Too Low?

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When entering the job market, nurses choose among different kínd of jobs. Each of these jobs is characterized by wage, sector (primary care or hospital) and shift (daytime work or shift). This paper estimates a multisector-job-type random utílity 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 estímaled to vield 3.3 percent íncrease in overall labor supply. This modest response shadows for much stronger inter job-type responses. Our approach differs from previous studíes in two ways: First, to our knowledge,it ís thefirst tíme that a model of labour supply for nurses ís estímated takíng explícíty ínto account the choices that RN's have regarding work place and type of job. Second, it 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 differentíals. But there are more attributes of a job than the wage. Based on the estimated random utílíty model we therefore calculate the expected value of compensatíon that makes a utílíty maxìmìzìng agent indifferent between types of jobs, here behween shift work and daytìme work. It turns out that Nondegian nurses working shifis may be willing to work shift relative to daytime work for lower wage than the current one

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  • Di Tommaso Maria Laura & Strom Steinar & Saether Erik Magnus, 2007. "Nurses Wanted. Is the Job Too Harsh or is the Wage Too Low?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200704, University of Turin.
    • Handle: RePEc:uto:dipeco:200704
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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.
    2. Martin Kroczek, 2021. "Analyzing Nurses‘ Decisions to Leave Their Profession – a Duration Analysis," IAW Discussion Papers 136, Institut für Angewandte Wirtschaftsforschung (IAW).
    3. 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.
    4. Alessandro Fedele, 2018. "Well‐paid nurses are good nurses," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 663-674, April.
    5. Leif Andreassen & Maria Laura Tommaso & Steinar Strøm, 2017. "Nurses and physicians: a longitudinal analysis of mobility between jobs and labor supply," Empirical Economics, Springer, vol. 52(4), pages 1235-1269, June.
    6. Slavko Bezeredi & Marko Ledić & Ivica Rubil & Ivica Urban, 2019. "Making work pay in Croatia: An ex-ante evaluation of two in-work benefits using miCROmod," International Journal of Microsimulation, International Microsimulation Association, vol. 12(3), pages 28-61.
    7. 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.
    8. Rowena Crawford & Richard Disney, 2018. "Wage Regulation and the Quality of Police Applicants," Economica, London School of Economics and Political Science, vol. 85(340), pages 701-734, October.
    9. 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.
    10. Schweri, Juerg & Hartog, Joop, 2017. "Do wage expectations predict college enrollment? Evidence from healthcare," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 135-150.
    11. Lang, Julia & Dauth, Christine, 2017. "Should the unemployed care for the elderly? The effect of subsidized occupational and further training in geriatric care," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168130, Verein für Socialpolitik / German Economic Association.
    12. Martin Kroczek & Jochen Späth, 2022. "The attractiveness of jobs in the German care sector: results of a factorial survey," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1547-1562, December.
    13. 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.
    14. Christine Dauth & Julia Lang, 2019. "Can the unemployed be trained to care for the elderly? The effects of subsidized training in elderly care," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 543-555, April.

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    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • 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

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