Skip to main content

University of Minnesota / Driven to DiscoverUniversity of Minnesota

Libraries

View Item 
Innovative Methods for Using Census Data to Study Poverty, Labor Markets, and Policy
Pacas Viscarra, Jose (2017)
Thumbnail
View/Download file
Persistent link to this item
http://hdl.handle.net/11299/191475
Services
Title
Innovative Methods for Using Census Data to Study Poverty, Labor Markets, and Policy
Authors
Issue Date
2017-09
Type
Thesis or Dissertation
Abstract
This dissertation studies poverty, labor markets, and policy. Integral to this effort are innovative methods for using Census data to study these topics. The dissertation consists of three chapters. The first chapter studies year-to-year poverty transitions in the United States. The second chapter measures the extent to which individuals’ union membership status affects the levels of taxes they pay and the cost of public benefits they receive. The third chapter analyzes how the electronic employment verification system, known as E-Verify, affects the labor market outcomes of unauthorized immigrants.
Keywords
Appears in collections
Dissertations [8174]
Description
University of Minnesota Ph.D. dissertation. September 2017. Major: Applied Economics. Advisor: Joseph Ritter. 1 computer file (PDF); xi, 179 pages.
Suggested Citation
Pacas Viscarra, Jose. (2017). Innovative Methods for Using Census Data to Study Poverty, Labor Markets, and Policy. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/191475.
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.