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Entrepreneurship, Economic Conditions, and the Great Recession

Authors: Robert W. Fairlie;

Entrepreneurship, Economic Conditions, and the Great Recession

Abstract

The “Great Recession” resulted in many business closings and foreclosures, but what effect did it have on business formation? On the one hand, recessions decrease potential business income and wealth, but on the other hand they restrict opportunities in the wage/salary sector leaving the net effect on entrepreneurship ambiguous. The most up‐to‐date microdata available—the 1996 to 2009 Current Population Survey (CPS)—are used to conduct a detailed analysis of the determinants of entrepreneurship at the individual level to shed light on this question. Regression estimates indicate that local labor market conditions are a major determinant of entrepreneurship. Higher local unemployment rates are found to increase the probability that individuals start businesses. Home ownership and local home values for home owners are also found to have positive effects on business creation, but these effects are noticeably smaller. Additional regression estimates indicate that individuals who are initially not employed respond more to high local unemployment rates by starting businesses than wage/salary workers. The results point to a consistent picture – the positive influences of slack labor markets outweigh the negative influences resulting in higher levels of business creation. Using the regression estimates for the local unemployment rate effects, I find that the predicted trend in entrepreneurship rates tracks the actual upward trend in entrepreneurship extremely well in the Great Recession.

Keywords

unemployment, L26, ddc:330, Entrepreneurship, Self-Employment, entrepreneurship, self-employment, entrepreneurship, Great Recession, unemployment, self-employment, Unemployment, Great Recession, entrepreneurship, great recession, unemployment, self-employment, great recession, jel: jel:L26

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    149
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
149
Top 1%
Top 1%
Top 10%
bronze