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Does Self-Employment Reduce Unemployment?

Authors: Thurik, A. Roy; Carree, Martin; van Stel, André; Audretsch, David B.;

Does Self-Employment Reduce Unemployment?

Abstract

This paper investigates the dynamic relationship between self-employment and unemployment rates. On the one hand, high unemployment rates may lead to start-up activity of self-employed individuals (the “refugee” effect). On the other hand, higher rates of self-employment may indicate increased entrepreneurial activity reducing unemployment in subsequent periods (the “entrepreneurial” effect). This paper introduces a new two-equation vector autoregression model capable of reconciling these ambiguities and estimates it for data from 23 OECD countries between 1974 and 2002. The empirical results confirm the existence of two distinct relationships between unemployment and self-employment: the “refugee” and “entrepreneurial” effects. We also find that the “entrepreneurial” effects are considerably stronger than the “refugee” effects.

Countries
United Kingdom, Netherlands
Keywords

unemployment, VAR-Modell, SDG 16 - Peace, 330, L26, Beschäftigungseffekt, J23, Arbeitslosigkeit, entrepreneurship, Gibrat's Law, OECD-Staaten, Selbstständige, Self-employment, entreprenuership; self-employment; unemployment, EUR ESE 30, EUR ESE 06, M13, O11, ddc:330, L53, Entrepreneurship, L11, SDG 8 - Decent Work and Economic Growth, entrepreneurship, self-employment, unemployment, Justice and Strong Institutions, self-employment, Unemployment, J64, jel: jel:J64, jel: jel:J23, jel: jel:L26, jel: jel:L53, jel: jel:O11, jel: jel:M13

  • BIP!
    Impact byBIP!
    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).
    461
    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!
461
Top 1%
Top 1%
Top 10%
Green
bronze