2020
DOI: 10.3368/jhr.monopsony.0119-9960r1
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The Urban Wage Premium in Imperfect Labor Markets

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Cited by 25 publications
(26 citation statements)
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“…Manning (2011) also discussed how the idea that denser labor markets are more competitive can explain some aspects of economic geography, notably agglomeration (Manning 2010), so has an important impact on spatial inequalities. Hirsch, Jahn, Manning, and Oberfichtner (2019) provided additional evidence for this view. More generally, Webber (2015) found more monopsony power in lower-wage labor markets, which would lead to greater inequality in wages than marginal products.…”
Section: Applications Of Monopsonymentioning
confidence: 89%
“…Manning (2011) also discussed how the idea that denser labor markets are more competitive can explain some aspects of economic geography, notably agglomeration (Manning 2010), so has an important impact on spatial inequalities. Hirsch, Jahn, Manning, and Oberfichtner (2019) provided additional evidence for this view. More generally, Webber (2015) found more monopsony power in lower-wage labor markets, which would lead to greater inequality in wages than marginal products.…”
Section: Applications Of Monopsonymentioning
confidence: 89%
“…Response to the subsidy differs by the conditions of the local labor market and the desirability of the location. Combined with the tendency of workers who do take the moving subsidy to choose locations with high market-or nonmarket amenities, these findings imply that spatial labor supply elasticity is low (Balasubramanian et al, 2018;Dube et al, 2018;Hirsch et al, 2018). The findings can be taken to imply that firms have monopsony power due to workers' high moving costs and the employed's lower likelihood of finding a job after a move.…”
Section: Introductionmentioning
confidence: 91%
“…One can therefore estimate these four components to arrive at the wage elasticity of labor supply to the firm. This estimation approach is widely used in the literature (Hirsch, Schank, and Schnabel 2010;Booth and Katic 2011;Hirsch, Jahn, and Schnabel 2018;Hirsch et al 2020;Webber 2020).…”
Section: Empirical Methodologymentioning
confidence: 99%