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Legal U.S. Immigration: Influences On Gender, Age, And Skill Composition, Michael J. Greenwood, John M. Mcdowell
Legal U.S. Immigration: Influences On Gender, Age, And Skill Composition, Michael J. Greenwood, John M. Mcdowell
Upjohn Press
The authors develop empirical models that enable them to examine the influence of two important determinants - source country characteristics and U.S. immigration policy - on the gender, age, and skills of immigrants coming to America.
Skill-Biased Technological Change: Evidence From A Firm-Level Survey, Donald S. Siegel
Skill-Biased Technological Change: Evidence From A Firm-Level Survey, Donald S. Siegel
Upjohn Press
Siegel provides evidence that technology adoption is associated with downsizing, skill upgrading, greater employee empowerment, and a widening wage gap. Unlike previous studies that use industry-level data, Siegel collected firm-level data on technology usage and labor composition which enable him to link the magnitude of labor market outcomes for six classes of workers to the types of technologies implemented.