Applied Survey Data Analysis Using Stata: The Kauffman Firm Survey Data

608 Pages Posted: 9 Aug 2014  

Joseph B. Farhat

Central Connecticut State University - Department of Finance

Alicia Robb

University of California, Berkeley - Coleman Fung Institute for Engineering Leadership; Kauffman Foundation; University of Colorado at Boulder

Date Written: August 6, 2014

Abstract

While entrepreneurial activity is an important part of our economy, data about U.S. businesses in their early years of operation have been extremely limited. Only recently has it become apparent what important contributions new and young businesses make to job creation and innovation activities. As part of an effort to understand the dynamics of new businesses in the United States, the Ewing Marion.

Kauffman Foundation sponsored the Kauffman Firm Survey (KFS), a panel study of new businesses founded in 2004 that were tracked annually over their first eight years of operation. Tracking businesses over time allows us to follow business evolutions that would not be apparent in cross-sectional snapshots, the more typical collection method. The KFS dataset provides researchers with a unique opportunity to study a panel of new businesses from startup to sustainability (or exit), with longitudinal data centering on topics such as how businesses are financed; the products, services, and innovations these businesses possess and develop in their early years of existence; and the characteristics of those who own and operate them. The Kauffman Firm Survey (KFS) is currently the largest, longest longitudinal survey of new businesses in the world. Data are available through calendar year 2011, the eighth year of operations for continuing businesses. Additionally, since our panel came into existence before the most recent recession, following these businesses allows us to get a picture of how young businesses in the U.S. were affected by the crisis.

We hope that you find the following chapters useful in analyzing the KFS data. Feel free to contact us with comments, suggestions, and/or questions through the KFS website.

Keywords: Kauffman firm survey, KFS, Stata, Survey, Complex Sample, Stratified sample, sampling weights, unequal sampling probabilities, oversampling, probability weights

Suggested Citation

Farhat, Joseph B. and Robb, Alicia, Applied Survey Data Analysis Using Stata: The Kauffman Firm Survey Data (August 6, 2014). Available at SSRN: https://ssrn.com/abstract=2477217

Joseph Farhat (Contact Author)

Central Connecticut State University - Department of Finance ( email )

1615 Stanley Street
New Britian, CT 06050
United States

Alicia Robb

University of California, Berkeley - Coleman Fung Institute for Engineering Leadership ( email )

130 Blum Hall #5580
Berkeley, CA 94720-5580
United States

Kauffman Foundation ( email )

4801 Rockhill Road
Kansas City, MO 64110-2046
United States

HOME PAGE: http://www.kauffman.org/kfs

University of Colorado at Boulder ( email )

1070 Edinboro Drive
Boulder, CO 80309
United States

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