Analyzing the 2004-2011 KFS Multiply Imputed Data

82 Pages Posted: 13 Dec 2013

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: December 1, 2013

Abstract

The purpose of this document is to provide instructions to the KFS users regarding the proper use of the KFS multiply imputed data to draw statistically valid inferences in their works. Also, it describes the general framework of the imputation process.

Keywords: kauffman firm survey, kfs, data, longitudinal, data editing

Suggested Citation

Farhat, Joseph and Robb, Alicia, Analyzing the 2004-2011 KFS Multiply Imputed Data (December 1, 2013). Available at SSRN: https://ssrn.com/abstract=2367300 or http://dx.doi.org/10.2139/ssrn.2367300

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

Downloads
144
Abstract Views
852
rank
199,447
PlumX Metrics