Forschungscluster
Drei Forschungscluster Jede IWH-Forschungsgruppe ist einem themenorientieren Forschungscluster zugeordnet. Die Cluster stellen keine eigenen Organisationseinheiten dar, sondern…
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Ostdeutschland
Die garstige Lücke Warum Ostdeutschland auch 30 Jahre nach der Vereinigung um 20% ärmer ist als der Westen Dossier Auf den Punkt Der wirtschaftliche Aufholprozess Ostdeutschlands…
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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1st FINPRO - Finance and Productivity Conference
1st FINPRO - Finance and Productivity Conference The Great Financial Crisis of 2007/2008 still casts a shadow on many developed economies in terms of real outcomes, such as…
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Forschungsgruppen
Unsere Forschungsgruppen Anpassungsfähigkeit und Resilienz des Finanzsystems Banken, Regulierung und Anreizstrukturen Betriebliche Dynamiken und Beschäftigungsergebnisse Bildung,…
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LRF Research Profile
Research Profile of the Department of Laws, Regulations and Factor Markets The Department of Laws, Regulations and Factor Markets conducts research on the interaction of labour…
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The Promise and Peril of Entrepreneurship
Robert W. Fairlie, Zachary Kroff, Javier Miranda, Nikolas Zolas
MIT Press,
2023
Abstract
Startups create jobs and power economic growth. That's an article of faith in the United States—but, as The Promise and Peril of Entrepreneurship reveals, our faith may be built on shaky ground. Economists Robert Fairlie, Zachary Kroff, Javier Miranda, and Nikolas Zolas—working with Census Bureau microdata—have developed a new data set, the Comprehensive Startup Panel, that tracks job creation and the survival of every startup in the country. In doing so, they recalibrate our understanding of how startups behave in the US economy. Specifically, their work seeks to answer three critical questions: How many jobs does each entrepreneur create? Do those jobs disappear quickly? And how long do entrepreneurial enterprises survive?
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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Age and High-Growth Entrepreneurship
Pierre Azoulay, Benjamin Jones, J. Daniel Kim, Javier Miranda
American Economic Review: Insights,
Vol. 2 (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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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,
Vol. 72 (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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