2017
DOI: 10.1787/6c418d60-en
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Using Crunchbase for economic and managerial research

Abstract: OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s). Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to

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Cited by 34 publications
(24 citation statements)
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“…Numerous contributions have used traditional regression-based approaches to identify factors associated with the success of small businesses (e.g., [69,68,44]), yet do not test the predictive quality of their methods out of sample and rely on data specifically collected for the research purpose. Fortunately, open access platforms such as Chrunchbase.com and Kickstarter.com provide company-and project-specific data whose high dimensionality can be exploited using predictive models [29]. SL algorithms, trained on a large amount of data, are generally suited to predict startup success, especially because success factors are commonly unknown and their interactions complex.…”
Section: Entrepreneurship and Innovationmentioning
confidence: 99%
“…Numerous contributions have used traditional regression-based approaches to identify factors associated with the success of small businesses (e.g., [69,68,44]), yet do not test the predictive quality of their methods out of sample and rely on data specifically collected for the research purpose. Fortunately, open access platforms such as Chrunchbase.com and Kickstarter.com provide company-and project-specific data whose high dimensionality can be exploited using predictive models [29]. SL algorithms, trained on a large amount of data, are generally suited to predict startup success, especially because success factors are commonly unknown and their interactions complex.…”
Section: Entrepreneurship and Innovationmentioning
confidence: 99%
“…In Crunchbase as in other databases on ISUs and Venture Capital, there is little information on failures, and a few start-ups that are officially still operating might actually be "living dead". Following the existing literature (Da Rin, Hellman and Puri, 2011 [56]; Da Rin, Hellman and Puri, 2011 [56]), successful start-ups are identified based on three different outcomes: i) the probability to receive funding; conditional on receiving funding, ii) the amount received, and iii) the probability to experience a successful exit via IPO or acquisition.…”
Section: Q2: Are Academic Isus More Successful Than Non-academic Isus?mentioning
confidence: 99%
“…Similarly, the matching of the start-up and founder repositories with patent data also required developing an ad-hoc procedure. While this technical work is only briefly mentioned in this Section, the interested reader can find more information in the background papers (Tarasconi & Menon, 2017;Dalle, den Besten, & Menon, 2017) or by contacting the authors of this report. The rest of this subsection gives a general overview of the main data sources that have been used for the empirical analysis.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Examples include (but are not restricted to) Alexy, Block, Sandner, & Ter Wal (2012), Bertoni & Tykvovà (2015), and Block, Fisch, Hahn, & Sandner (2015). For a more detailed literature review, see Dalle, den Besten, & Menon (2017), who discuss more than 80 academic studies in the field of economic, managerial, and entrepreneurship research based on the Crunchbase data.…”
Section: Data Sourcesmentioning
confidence: 99%