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

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....

Data is a fundamental impediment to a better understanding of the multifaceted process of new firm creation. With better data, we can form a better understanding of the causes, constraints, and outcomes associated with the decision to launch a new business. Towards this end, the Kauffman...

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...

A Rising Tide: Financing Strategies for Women-Owned Firms is a "must read" for current and aspiring women entrepreneurs who want to learn more about the financial tools and techniques that will help them to launch, develop, and grow their firms.

We perform an online survey of candidates, who listed their resume on the 2002 FMA website, seeking finance faculty positions. The response rate is approximately 50 percent. Consistent with Bertin, Prather, and Zivney (1999), we find that the new hire market for finance professors continues to...

Although researchers using a complex sample survey data need not understand the in-depth details of the process generating the survey weights, questions about why, when, and how to use weighting and which statistical packages to use are the most common during data analysis. Unfortunately,...

We analyze the impact of firm's asset uniqueness and its growth opportunities on the leasing decisions of U.S. startups. To test our hypotheses, we use a unique dataset provided by the Kauffman Foundation. Our results show that startups in the high-technology sector have a lower propensity to...

In this article, we examine how startup firms finance their operations over time. We empirically test the financial growth cycle theory developed by Berger and Udell (1998) using the Kauffman Firm Survey data, the largest longitudinal data set comprised of all U.S. startups launched in 2004....

We analyze a private firm's likelihood of exiting through a merger or acquisition. To test our hypotheses we use the confidential version of the Kauffman Firm Survey data, the largest longitudinal dataset of newly formed businesses in the United States. Our results show that firms with R&D...