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Start-Up Subsidies for the Unemployed: Long-Term Evidence and Effect Heterogeneity

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Author Info

  • Caliendo, Marco

    ()
    (University of Potsdam)

  • Künn, Steffen

    ()
    (IZA)

Abstract

Turning unemployment into self-employment has become an increasingly important part of active labor market policies (ALMP) in many OECD countries. Germany is a good example where the spending on start-up subsidies for the unemployed accounted for nearly 17% of the total spending on ALMP in 2004. In contrast to other programs – like vocational training, job creation schemes, or wage subsidies – the empirical evidence on the effectiveness of such schemes is still scarce; especially regarding long-term effects and effect heterogeneity. This paper aims to close this gap. We use administrative and survey data from a large sample of participants in two distinct start-up programs and a control group of unemployed individuals. We find that over 80% of participants are integrated in the labor market and have relatively high labor income five years after start-up. Additionally, participants are much more satisfied with their current occupational situation compared to previous jobs. Based on conditional propensity score matching methods we estimate the long-term effects of the programs against non-participation. Our results show that both programs are effective with respect to income and employment outcomes in the long-run. Moreover, we consider effect heterogeneity with respect to several dimensions and show that start-up subsidies for the unemployed tend to be most effective for disadvantaged groups in the labor market.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4790.

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Length: 37 pages
Date of creation: Feb 2010
Date of revision:
Publication status: published in: Journal of Public Economics, 2011, 95 (3-4), 311–331
Handle: RePEc:iza:izadps:dp4790

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Keywords: start-up subsidies; effect heterogeneity; long-term effects; evaluation; self-employment;

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