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Article . 2019 . Peer-reviewed
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Article . 2018 . Peer-reviewed
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Article . 2018 . Peer-reviewed
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Article . 2018 . Peer-reviewed
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Gender Gap in Entrepreneurship

Authors: Jorge Guzman; Aleksandra Kacperczyk;

Gender Gap in Entrepreneurship

Abstract

Using data on the entire population of businesses registered in the states of California and Massachusetts between 1995 and 2011, we decompose the well-established gender gap in entrepreneurship. We show that female-led ventures are 63 percentage points less likely than male-led ventures to obtain external funding (i.e., venture capital). The most significant portion of the gap (65 percent) stems from gender differences in initial startup orientation, with women being less likely to found ventures that signal growth potential to external investors. However, the residual gap is as much as 35 percent and much of this disparity likely reflects investors’ gendered preferences. Consistent with theories of statistical discrimination, the residual gap diminishes significantly when stronger signals of growth are available to investors for comparable female- and male-led ventures or when focal investors appear to be more sophisticated. Finally, conditional on the reception of external funds (i.e., venture capital), women and men are equally likely to achieve exit outcomes, through IPOs or acquisitions.

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United Kingdom
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SocArXiv|Social and Behavioral Sciences|Sociology|Race, Gender, and Class, 330, bepress|Social and Behavioral Sciences|Economics, Economics, SocArXiv|Social and Behavioral Sciences|Economics, SocArXiv|Arts and Humanities, Social and Behavioral Sciences, bepress|Social and Behavioral Sciences|Sociology, SocArXiv|Social and Behavioral Sciences|Sociology, bepress|Social and Behavioral Sciences|Economics|Labor Economics, Sociology, Labor Economics, bepress|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences, Arts and Humanities, bepress|Social and Behavioral Sciences|Sociology|Inequality and Stratification, SocArXiv|Social and Behavioral Sciences|Economics|Labor Economics, bepress|Arts and Humanities, Race, Gender, and Class

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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).
    382
    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 0.1%
    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 1%
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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!
382
Top 0.1%
Top 1%
Top 1%
Green
bronze