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People Job Market Candidates Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Job Market Candidates Tommaso Bighelli Job market paper: "The…
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Does Working at a Start-up Pay Off?
Daniel Fackler, Lisa Hölscher, Claus Schnabel, Antje Weyh
Small Business Economics,
Nr. 4,
2022
Abstract
Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining start-ups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and long-lasting drawbacks from entering a start-up in terms of wages, yearly income, and (un)employment. These disadvantages hold for all groups of workers and types of start-ups analyzed. Although our analysis of different subsequent career paths highlights important heterogeneities, it does not reveal any strategy through which workers joining start-ups can catch up with the income of similar workers entering incumbent firms.
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Does Working at a Start-Up Pay Off?
Daniel Fackler, Lisa Hölscher, Claus Schnabel, Antje Weyh
Abstract
Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining startups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and long-lasting drawbacks from entering a start-up in terms of wages, yearly income, and (un)employment. These disadvantages hold for all groups of workers and types of start-ups analyzed. Although our analysis of different subsequent career paths highlights important heterogeneities, it does not reveal any strategy through which workers joining start-ups can catch up with the income of similar workers entering incumbent firms.
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Do Start-ups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
ILR Review,
Nr. 5,
2019
Abstract
This article compares the hiring patterns of start-ups and incumbent firms to analyze whether start-ups offer relatively more job opportunities to disadvantaged workers. Using administrative linked employer–employee data for Germany that provide the complete employment biographies of newly hired workers, the authors show that young firms are more likely than incumbents to hire applicants who are older, foreign, or unemployed, or who have unstable employment histories, arrive from outside the labor force, or were affected by a plant closure. Analysis of entry wages shows that penalties for these disadvantaged workers, however, are higher in start-ups than in incumbent firms. Therefore, even if start-ups provide employment opportunities for certain groups of disadvantaged workers, the quality of these jobs in terms of initial remuneration appears to be low.
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Do Startups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
IZA Discussion Paper Series,
im Erscheinen
Abstract
This paper analyzes whether startups offer job opportunities to workers potentially facing labor market problems. It compares the hiring patterns of startups and incumbents in the period 2003 to 2014 using administrative linked employer-employee data for Germany that allow to take the complete employment biographies of newly hired workers into account. The results indicate that young plants are more likely than incumbents to hire older and foreign applicants as well as workers who have instable employment biographies, come from unemployment or outside the labor force, or were affected by a plant closure. However, an analysis of entry wages reveals that disadvantageous worker characteristics come along with higher wage penalties in startups than in incumbents. Therefore, even if startups provide employment opportunities for certain groups of disadvantaged workers, the quality of these jobs in terms of initial remuneration seems to be low.
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Losing Work, Moving Away? Regional Mobility After Job Loss
Daniel Fackler, Lisa Rippe
LABOUR: Review of Labour Economics and Industrial Relations,
Nr. 4,
2017
Abstract
Using German survey data, we investigate the relationship between involuntary job loss and regional mobility. Our results show that job loss has a strong positive effect on the propensity to relocate. We also analyse whether displaced workers who relocate to a different region after job loss are better able to catch up with non-displaced workers in terms of labour market performance than those staying in the same region. Our findings do not support this conjecture as we find substantial long-lasting earnings losses for movers and stayers and even slightly but not significantly higher losses for movers.
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Losing Work, Moving Away? Regional Mobility After Job Loss
Daniel Fackler, Lisa Rippe
Abstract
Using German survey data, we investigate the relationship between involuntary job loss and regional mobility. Our results show that job loss has a strong positive effect on the propensity to relocate. We also analyze whether the high and persistent earnings losses of displaced workers can in part be explained by limited regional mobility. Our findings do not support this conjecture as we find substantial long lasting earnings losses for both movers and stayers. In the short run, movers even face slightly higher losses, but the differences between the two groups of displaced workers are never statistically significant. This challenges whether migration is a beneficial strategy in case of involuntary job loss.
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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany
Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science,
Nr. 2,
2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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