2010
DOI: 10.1093/jeg/lbq016
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New economic geography and US metropolitan wage inequality

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Cited by 40 publications
(25 citation statements)
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“…(EMSI) with information on county employment and earnings disaggregated at 4--digit NAICS level. EMSI data have been successfully used in various studies in recent years (Betz et al, 2015;Dorfman et al, 2011;Fallah et al, 2011;Fallah et al, 2014;Nolan et al, 2011). This allows us to measure oil--and gas--extraction employment, as well as other sectors of interest, more precisely (especially in calculating our energy and industry mix terms).…”
Section: Estimation Approach Variables and Data Sourcesmentioning
confidence: 99%
“…(EMSI) with information on county employment and earnings disaggregated at 4--digit NAICS level. EMSI data have been successfully used in various studies in recent years (Betz et al, 2015;Dorfman et al, 2011;Fallah et al, 2011;Fallah et al, 2014;Nolan et al, 2011). This allows us to measure oil--and gas--extraction employment, as well as other sectors of interest, more precisely (especially in calculating our energy and industry mix terms).…”
Section: Estimation Approach Variables and Data Sourcesmentioning
confidence: 99%
“…One prerequisite of any analysis of the determinants of regional wages is sufficient controls for individual characteristics like skill or gender, which are among the main determinants of interindividual wage heterogeneity (Mincer, 1974;Willis, 1986;Combes et al, 2008). 1 Mion and Naticchioni (2005) and Combes et al (2008) use individual data to estimate the impact of market proximity on wages, emphasizing the importance of the spatial sorting of skills in explaining wage disparities. These analyses appeal to a fairly crude measure of market access, based on Harris (1954), 2 which is not directly derived from NEG theory and may, for this reason, overestimate the role of surrounding markets on local wages (Head & Mayer, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…EMSI has developed an algorithm to fill these holes, and their data are reported to be relatively accurate (Dorfman, Partridge, and Galloway, 2011;Fallah, Partridge, and Olfert. 2011). period.…”
mentioning
confidence: 99%