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Essays on Firm Compensation Policy and Confidentiality Protection and Imputation in the Quarterly Workforce Indicators

dc.contributor.advisorHaltiwanger, John Cen_US
dc.contributor.authorStephens, Bryceen_US
dc.date.accessioned2007-02-01T20:20:42Z
dc.date.available2007-02-01T20:20:42Z
dc.date.issued2006-08-30en_US
dc.identifier.urihttp://hdl.handle.net/1903/4075
dc.description.abstractThis thesis is comprised of three chapters. The first chapter develops a statistical model that enriches the role that firms playin wage determination, allowing firms to influence both average wages as well as the returns to observable worker characteristics. I exploit the hierarchical nature of a unique employer-employee linked dataset maintained by the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program, estimating a multilevel statistical model of earnings that accounts for firm-specific deviations in average wages as well as the returns to components of human capital -- race, gender, education, and experience - while also controlling for person-level heterogeneity in earnings. Results suggest that there is significant variation in the returns to worker characteristics across firms. First, estimates of the parameters of the covariance matrix of firm-specific returns are statistically significant. Firms that tend to pay higher average wages also tend to pay higher than average returns to worker characteristics; firms that tend to reward highly the human capital of men also highly reward the human capital of women. Second, the firm-specific returns account for roughly 7\% of the variation in wages - approximately 30\% of the variation in wages explained by firm-specific intercepts alone. The second chapter (joint with John M. Abowd and Lars Vilhuber) and third chapter discuss the confidentiality protections and imputation of place-of-work in the Quarterly Workforce Indicators produced by the Census Bureau's Longitudinal Employer-Household Dynamics Program as a part of its Local Employment Dynamics Estimates partnership with 37 state Labor Market Information offices. Both chapters provide a discussion of methodology as well as assessments of the impact of the confidentiality protections and imputation of place-of-work on the Quarterly Workforce Indicators public use measures.en_US
dc.format.extent619582 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleEssays on Firm Compensation Policy and Confidentiality Protection and Imputation in the Quarterly Workforce Indicatorsen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentEconomicsen_US
dc.subject.pqcontrolledEconomics, Generalen_US
dc.subject.pqcontrolledEconomics, Laboren_US
dc.subject.pquncontrolledWage Dispersionen_US
dc.subject.pquncontrolledWage Structureen_US
dc.subject.pquncontrolledConfidentialityen_US
dc.subject.pquncontrolledMultiple Imputationen_US
dc.subject.pquncontrolledQuarterly Workforce Indicatorsen_US


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