Analyzing Complex Survey Data: The Kauffman Firm Survey

Posted: 28 Jul 2017

See all articles by Joseph B. Farhat

Joseph B. Farhat

Central Connecticut State University - Department of Finance

Alicia Robb

University of Colorado at Boulder; Next Wave Impact; Federal Reserve Banks - Federal Reserve Bank of Atlanta

Date Written: July 19, 2017

Abstract

The Kauffman Firm Survey (KFS) was a panel study of new businesses that employed a complex sample design to collect key data about the dynamics of high-technology, medium-technology, and female-owned business entities. Complex sample designs of the type employed in the KFS typically have multi-frame sampling, stratification, non-response adjustment, and over-sampling components. Each of these design elements has been proven to enhance the efficiency with which researchers analyze and draw inferences from the available data. However, there is also a risk that a complex sample design approach can make data analysis more complicated due to non-independent selections and selection with varying probabilities. In this technical overview of the KFS, we describe the sampling method that was utilized in the panel survey. We examine how failing to take into account the probability-based weights impact the parameter estimates and the resulting standard errors. Through adopting an empirical approach, we show why it is important to take account of stratification and weighting. This paper demonstrates the importance of taking the features of a complex survey design into account during the data analysis process.

Keywords: Entrepreneur, Data estimation methodology, Survey methods, Sampling methods

JEL Classification: C83, C87, L26

Suggested Citation

Farhat, Joseph and Robb, Alicia, Analyzing Complex Survey Data: The Kauffman Firm Survey (July 19, 2017). Small Business Economics, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3008650

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 Colorado at Boulder ( email )

Leeds Business School
Boulder, CO 80309
United States

Next Wave Impact ( email )

7455 Park Lane Road
Longmount, CO 80503
United States

Federal Reserve Banks - Federal Reserve Bank of Atlanta

1000 Peachtree Street N.E.
Atlanta, GA 30309-4470
United States

Register to save articles to
your library

Register

Paper statistics

Abstract Views
135
PlumX Metrics