The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research
September 2015
Working Paper Number:
CES-15-29
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.
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:
company,
enterprise,
employed,
employ,
employee,
venture,
entrepreneurial,
proprietorship,
entrepreneurship,
entrepreneur,
business startups,
startup,
proprietor,
establishment,
employment data,
employment estimates,
workforce,
businesses census,
startup firms,
employment entrepreneurship,
employment dynamics,
founder,
employment statistics,
employee data,
employer businesses
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Bureau of Labor Statistics,
Metropolitan Statistical Area,
Internal Revenue Service,
Characteristics of Business Owners,
Center for Economic Studies,
Review of Economics and Statistics,
Quarterly Journal of Economics,
County Business Patterns,
University of Maryland,
Federal Reserve Bank,
Census Bureau Longitudinal Business Database,
Employer Identification Number,
American Economic Review,
Journal of Political Economy,
University of Chicago,
Census Bureau Center for Economic Studies,
National Longitudinal Survey of Youth,
Current Population Survey,
Longitudinal Business Database,
Michigan Institute for Teaching and Research in Economics,
Decennial Census,
Survey of Income and Program Participation,
Journal of Labor Economics,
Journal of Economic Perspectives,
Social Security,
North American Industry Classification System,
Longitudinal Employer Household Dynamics,
PSID,
Quarterly Workforce Indicators,
Core Based Statistical Area,
Quarterly Census of Employment and Wages,
Local Employment Dynamics,
Business Employment Dynamics,
Office of Personnel Management,
Kauffman Firm Survey,
Census Bureau Business Dynamics Statistics,
Stanford University,
Business Dynamics Statistics
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