Aktuelle Trends: Entwicklung der Firmengründungen in Deutschland
André Diegmann
Wirtschaft im Wandel,
No. 1,
2020
Abstract
Das Produktivitätswachstum in entwickelten Volkswirtschaften hat sich in den letzten Jahren deutlich verlangsamt. Ein Indikator für die wirtschaftliche Dynamik in einer Volkswirtschaft ist die Firmengründungsaktivität. Wenn neue Ideen entstehen, kann dies in eine zunehmende Gründungsaktivität münden und so positiv auf die Produktivitätsentwicklung wirken.
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The Creation and Evolution of Entrepreneurial Public Markets
Shai B. Bernstein, Abhishek Dev, Josh Lerner
Journal of Financial Economics,
No. 2,
2020
Abstract
This paper explores the creation and evolution of new stock exchanges around the world geared toward entrepreneurial companies, known as second-tier exchanges. Using hand-collected novel data, we show the proliferation of these exchanges in many countries, their significant volume of Initial Public Offerings (IPOs), and lower listing requirements. Shareholder protection strongly predicted exchange success, even in countries with high levels of venture capital activity, patenting, and financial market development. Better shareholder protection allowed younger, less-profitable, but faster-growing, companies to raise more capital. These results highlight the importance of institutions in enabling the provision of entrepreneurial capital to young companies.
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Age and High-Growth Entrepreneurship
Pierre Azoulay, Benjamin Jones, J. Daniel Kim, Javier Miranda
American Economic Review: Insights,
No. 1,
2020
Abstract
Many observers, and many investors, believe that young people are especially likely to produce the most successful new firms. Integrating administrative data on firms, workers, and owners, we study start-ups systematically in the United States and find that successful entrepreneurs are middle-aged, not young. The mean age at founding for the 1-in-1,000 fastest growing new ventures is 45.0. The findings are similar when considering high-technology sectors, entrepreneurial hubs, and successful firm exits. Prior experience in the specific industry predicts much greater rates of entrepreneurial success. These findings strongly reject common hypotheses that emphasize youth as a key trait of successful entrepreneurs.
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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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Business Dynamics Statistics of High Tech Industries
Nathan Goldschlag, Javier Miranda
Journal of Economics and Management Strategy,
No. 1,
2020
Abstract
Modern market economies are characterized by the reallocation of resources from less productive, less valuable activities to more productive, more valuable ones. Businesses in the High Tech sector play a particularly important role in this reallocation by introducing new products and services that impact the entire economy. In this paper we describe an extension to the Census Bureau’s Business Dynamics Statistics that tracks job creation, job destruction, startups, and exits by firm and establishment characteristics, including sector, firm age, and firm size in the High Tech sector. We preview the resulting statistics, showing the structural shifts in the High Tech sector over the past 30 years, including the surge of entry and young firm activity in the 1990s that reversed abruptly in the early‐2000s.
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Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set
Robert W. Fairlie, Javier Miranda, Nikolas Zolas
ILR Review,
No. 5,
2019
Abstract
The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.
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Do Start-ups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
ILR Review,
No. 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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02.10.2018 • 20/2018
Presseeinladung zum Workshop: „Regionale Ungleichheit: Gleichwertige Lebensverhältnisse in Deutschland im Fokus“ am 8. und 9. Oktober 2018 in Halle (Saale)
Ungleichheit in Deutschland: Was Wirtschaftskraft und Bevölkerungsentwicklung angeht, gibt es erhebliche Unterschiede zwischen Ost und West, zwischen Stadt und Land, zwischen Regionen mit alten Industrien und solchen mit vielen jungen Start-ups. Welche Konsequenzen sich aus diesen Unterschieden ergeben und wie die Politik darauf reagieren kann, diskutiert eine gemeinsame Veranstaltung des Instituts für Arbeitsmarkt- und Berufsforschung (IAB) und des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH).
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Do Startups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
IZA Discussion Paper Series,
forthcoming
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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Measuring Entrepreneurial Businesses: Current Knowledge and Challenges
John Haltiwanger, Erik Hurst, Javier Miranda, Antoinette Schoar
NBER Studies in Income and Wealth,
2017
Abstract
Start-ups and other entrepreneurial ventures make a significant contribution to the US economy, particularly in the tech sector, where they comprise some of the largest and most influential companies. Yet for every startup that becomes a high-profile, high-growth company like Apple, Facebook, Microsoft, and Google, many more fail. This enormous heterogeneity poses conceptual and measurement challenges for economists concerned with understanding how new businesses affect economic growth.
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