The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research
Christopher Goetz (),
Henry Hyatt,
Erika McEntarfer and
Kristin Sandusky
Working Papers from U.S. Census Bureau, Center for Economic Studies
Abstract:
In this paper, we highlight the potential for linked employer-employee data to be used in entrepreneurship research, describing new data on business start-ups, their founders and early employees, and providing examples of how they can be used in entrepreneurship research. Linked employer-employee data provides a unique perspective on new business creation by combining information on the business, workforce, and individual. By combining data on both workers and firms, linked data can investigate many questions that owner-level or firm-level data cannot easily answer alone - such as composition of the workforce at start-ups and their role in explaining business dynamics, the flow of workers across new and established firms, and the employment paths of the business owners themselves.
Pages: 38 pages
Date: 2015-09
New Economics Papers: this item is included in nep-bec, nep-ent, nep-ino, nep-lab, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
https://www2.census.gov/ces/wp/2015/CES-WP-15-29.pdf First version, 2015 (application/pdf)
Related works:
Chapter: The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research (2016) 
Working Paper: The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:15-29
Access Statistics for this paper
More papers in Working Papers from U.S. Census Bureau, Center for Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dawn Anderson ().