2013
DOI: 10.1111/coep.12026
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Undocumented Workers' Employment Across U.S. Business Cycles

Abstract: Using matched employer‐employee data from the state of Georgia, this paper investigates how employment of undocumented workers varies along the business cycle and how it differs from the adjustment in employment of documented workers. The cyclical component of undocumented employment is found to be significantly more volatile than the cyclical component of documented employment. Simulation results indicate that complementarities between documented workers and capital account for almost 90% of the difference in… Show more

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Cited by 2 publications
(2 citation statements)
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“…Both sets of variables are important controls since many of the E‐Verify mandates coincided with the 2007–2009 recession and an increase in federal, state, and local immigration enforcement. Unauthorized immigrants tend to have more cyclical labor market outcomes than legal workers (Brown et al ).…”
Section: Data and Empirical Methodologymentioning
confidence: 99%
“…Both sets of variables are important controls since many of the E‐Verify mandates coincided with the 2007–2009 recession and an increase in federal, state, and local immigration enforcement. Unauthorized immigrants tend to have more cyclical labor market outcomes than legal workers (Brown et al ).…”
Section: Data and Empirical Methodologymentioning
confidence: 99%
“…In con sid er ing employ ment sta bil ity, one com mon asser tion, some times called the "first fired" hypoth e sis, sug gests that lower-skilled or other dis ad van taged groups (e.g., minor i ties, young) face greater risks of job loss as the econ omy wors ens (Couch and Fairlie 2010). Thus, although immi grant men in the U.S. labor mar ket tend to have lower unem ploy ment rates and higher labor force par tic i pa tion than the native-born (Kochhar et al 2010;Laird 2015), some evi dence sug gests increased unem ploy ment and reduced employ ment for for eign-born men dur ing eco nomic down turns (Brown et al 2014;Chiswick et al 1997;Orrenius and Zavodny 2010;Wang and Sakamoto 2016).…”
Section: Introductionmentioning
confidence: 99%