Who Starts New Firms? – Preliminary Explorations of Firms-in-Gestation

Who Starts New Firms? – Preliminary Explorations of Firms-in-Gestation Little is known about the factors which lead individuals to start a new firm. This hiatus is due to an absence of data about the gestation processes that precedes a firm birth. Most analyses have used reported self-employment as an indicator of entrepreneurial behavior and resorted to linear additive models to account for "entrepreneurship." The resulting models have not been very successful for predictions and the conception is at odds with the most salient characteristics of entrepreneur's start-up stories. These personal accounts emphasize the unique combination of events that led to a new businesses start-up. A pilot study that identified those developing new firms provides information on firms-in-gestation. Preliminary analysis using Automatic Interaction Detection (AID) explores the unique combinations of events that underlay a decision to start a new firm. Seven-in-ten startups in the U.S. may be initiated by those 25–34 years old with full-time jobs, part-time jobs, or managing another business. There is some limited support for an impact of unemployment or a "liquidity constraint" on initiating start-ups. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Business Economics Springer Journals

Who Starts New Firms? – Preliminary Explorations of Firms-in-Gestation

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1997 by Kluwer Academic Publishers
Subject
Business and Management; Management; Microeconomics; Entrepreneurship; Industrial Organization
ISSN
0921-898X
eISSN
1573-0913
D.O.I.
10.1023/A:1007935726528
Publisher site
See Article on Publisher Site

Abstract

Little is known about the factors which lead individuals to start a new firm. This hiatus is due to an absence of data about the gestation processes that precedes a firm birth. Most analyses have used reported self-employment as an indicator of entrepreneurial behavior and resorted to linear additive models to account for "entrepreneurship." The resulting models have not been very successful for predictions and the conception is at odds with the most salient characteristics of entrepreneur's start-up stories. These personal accounts emphasize the unique combination of events that led to a new businesses start-up. A pilot study that identified those developing new firms provides information on firms-in-gestation. Preliminary analysis using Automatic Interaction Detection (AID) explores the unique combinations of events that underlay a decision to start a new firm. Seven-in-ten startups in the U.S. may be initiated by those 25–34 years old with full-time jobs, part-time jobs, or managing another business. There is some limited support for an impact of unemployment or a "liquidity constraint" on initiating start-ups.

Journal

Small Business EconomicsSpringer Journals

Published: Sep 29, 2004

References

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