1995
DOI: 10.1016/0167-6296(95)00013-8
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Monopsony power and relative wages in the labor market for nurses

Abstract: This paper examines the thesis that monopsony power is an important determinant of wages in nursing labor markets. Using data from the 1985-93 Current Population Surveys, measures of relative nursejnon-nurse wage rates for 252 labor markets are constructed.Contrary to predictions from the monopsony model, no positive relationship exists between relative nursing wages and hospital density or market size. Nor is support found for the presence of monopsony power based on evidence on union wage premiums, slopes of… Show more

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Cited by 80 publications
(51 citation statements)
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“…The analysis adopts a two-step estimation procedure, based on Hirsch and Schumacher (1995), in which labor markets are the second-step unit of analysis. Similar results (not shown) are obtained using a single-step procedure with individuals as the observation unit (Hirsch and Schumacher, 2004a).…”
Section: Methods Of Analysismentioning
confidence: 99%
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“…The analysis adopts a two-step estimation procedure, based on Hirsch and Schumacher (1995), in which labor markets are the second-step unit of analysis. Similar results (not shown) are obtained using a single-step procedure with individuals as the observation unit (Hirsch and Schumacher, 2004a).…”
Section: Methods Of Analysismentioning
confidence: 99%
“…Measures include number of hospitals, RN employment, compensation costs, expenditures, patient days, and costs per patient. These data were used in Hirsch and Schumacher (1995) to construct a hospital density measure (hospitals per square mile). 18 We chose an output measure (census) rather than employment to calculate hospital concentration, since employment is a monopsonistic outcome we later examine.…”
Section: Datamentioning
confidence: 99%
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“…where i refers to the city, j the region 18 , and t the time period (t =1980, 1990, 2000, and 2010). For our main dependent and independent variables, we focus on the number of full-time employed (FTE) native and foreign RNs per capita in a city for each census year.…”
Section: Spatial Correlations Approachmentioning
confidence: 99%