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

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  • Askildsen, Jan Erik

    ()
    (Programme for Health Economics in Bergen, Department of Economics, University of Bergen)

  • Baltagi, Badi H.

    ()
    (Texas A&M University, Department of Economics)

  • Holmås, Tor Helge

    ()
    (Programme for Health Economics in Bergen, Department of Economics, University of Bergen)

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.

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Bibliographic Info

Paper provided by University of Bergen, Department of Economics in its series Working Papers in Economics with number 21/02.

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Length: 31 pages
Date of creation: 15 Oct 2002
Date of revision:
Handle: RePEc:hhs:bergec:2002_021

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Postal: Institutt for økonomi, Universitetet i Bergen, Postboks 7802, 5020 Bergen, Norway
Phone: (+47)55589200
Fax: (+47)55589210
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Web page: http://www.uib.no/econ/en
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Keywords: Nurses; labour supply; panel data; selection; semi-parametric models.;

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References

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  1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  2. 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 for the Study of Labor (IZA).
  3. 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 576-94, July.
  4. 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.
  5. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
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Cited by:
  1. 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.
  2. 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.
  3. 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.
  4. Emma Hall & Carol Propper & John Van Reenen, 2008. "Can pay regulation kill? Panel data evidence on the effect of labor markets on hospital performance," NBER Working Papers 13776, National Bureau of Economic Research, Inc.
  5. 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.
  6. Diane Sk�tun & 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.

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