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Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply

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  • Jan Erik Askildsen
  • Badi H. Baltagi
  • Tor Helge Holmås

Abstract

Shortage of nurses is a problem in several countries. It is an unsettled question whether increasing wages constitute a viable policy for extracting more labour supply from nurses. In this paper we use a unique matched panel data set of Norwegian nurses covering the period 1993-1998 to estimate wage elasticities. The data set includes detailed information on 19,638 individuals over 6 years totalling 69,122 observations. The estimated wage elasticity after controlling for individual heterogeneity, sample selection and instrumenting for possible endogeneity is 0.21. Individual and institutional features are statistically significant and important for working hours. Contractual arrangements as represented by shift work are also important for hours of work, and omitting information about this common phenomenon will underestimate the wage effect.

Suggested Citation

  • Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2002. "Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply," CESifo Working Paper Series 794, CESifo.
    • Handle: RePEc:ces:ceswps:_794
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    References listed on IDEAS

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    1. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    2. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2001. "An analysis of housing expenditure using semiparametric models and panel data," Journal of Econometrics, Elsevier, vol. 101(1), pages 71-107, March.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    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. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204, Elsevier.
    6. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
    7. Dustmann, Christian & Rochina-Barrachina, María Engracia, 2000. "Selection Correction in Panel Data Models: An Application to Labour Supply and Wages," IZA Discussion Papers 162, Institute of Labor Economics (IZA).
    8. 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.
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    Cited by:

    1. 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.
    2. Carol Propper & John Van Reenen, 2010. "Can Pay Regulation Kill? Panel Data Evidence on the Effect of Labor Markets on Hospital Performance," Journal of Political Economy, University of Chicago Press, vol. 118(2), pages 222-273, April.
    3. Egon Smeral & Peter Huber & Ulrike Mühlberger & Gerhard Schwarz, 2009. "Ausbildungserfordernisse und Arbeitskräftebedarf im österreichischen Beherbergungs- und Gaststättenwesen," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(4), pages 247-259, April.
    4. Paul Frijters & Michael A. Shields & Stephen Wheatley Price, 2007. "Investigating the quitting decision of nurses: panel data evidence from the british national health service," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 57-73, January.
    5. Diane Skåtun & Emanuela Antonazzo & Anthony Scott & Robert Elliott, 2005. "The supply of qualified nurses: a classical model of labour supply," Applied Economics, Taylor & Francis Journals, vol. 37(1), pages 57-65.
    6. Badi H. Baltagi & Espen Bratberg & Tor Helge Holmås, 2005. "A panel data study of physicians' labor supply: the case of Norway," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1035-1045, October.
    7. Dolado, Juan J & Felgueroso, Florentino, 2008. "Occupational Mismatch and Moonlighting Among Spanish Physicians: Do Couples Matter?," CEPR Discussion Papers 6803, C.E.P.R. Discussion Papers.
    8. 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.

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    More about this item

    Keywords

    nurses; labour supply; panel data; selection; semi-parametric models.;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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