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Presenter: Joseph Farhat, Central Connecticut State U.
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The Kauffman Firm Survey (KFS), the largest longitudinal study of newly formed businesses, has received considerable attention from researchers in the field of entrepreneurship. Capitalizing on the richest longitudinal study of new businesses, hundreds of researchers are using the data on topics spanning several disciplines. The KFS was constructed using complex survey sample designs where the population of interest was stratified, both explicit and implicit, based on industrial technology level and gender and over-sampled within high- and medium- tech industries. Recently, the Kauffman Foundation released the KFS Logically Imputed Data, the KFS Multiply Imputed Data and merged the KFS with other database. Working with complex survey sample design and multiply imputed data is the most challenging part of any research project. This hands on workshop aims to cover : how researchers in the field of entrepreneurship can use the KFS data in their research, description of the KFS sampling process ,the proper use of weights, the KFS data structure, working with multiply imputed data files, longitudinal data analysis and longitudinal multiply imputed data analysis. |
In-depth hands on workshop to learn how to work with KFS data, how researchers in the field of entrepreneurship can use the KFS data in their research, description of the KFS sampling process, the proper use of weights, the KFS data structure, working with multiply imputed data files, longitudinal data analysis using Stata and longitudinal multiply imputed data analysis using Stata. Join us for a coffee break! Pre-registration is required for this session. To register online, please visit https://secure.aom.org/PDWReg. The deadline to register online is August 9, 2018. |
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