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

Maria Di Tommaso (), Steinar Strøm () and E. M. Sæther ()

CHILD Working Papers from CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY

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.

Keywords: Nurse labor supply; multi-sectoral; shift-work (search for similar items in EconPapers)
JEL-codes: I11 J22 J33 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2007-04
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Nurses wanted: Is the job too harsh or is the wage too low? (2009) Downloads
Working Paper: Nurses Wanted: Is the Job Too Hars or is the Wage Too Low (2008) Downloads
Working Paper: Nurses Wanted. Is the Job Too Harsh or is the Wage Too Low? (2007) Downloads
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