Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/282091 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
Discussion Paper No. 399
Verlag: 
Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition, München und Berlin
Zusammenfassung: 
Software engineering is a field with strong geographic concentration, with Silicon Valley as the epitome of a tech cluster. Yet, most studies on the productivity effects of agglomerations measure innovation with patent data, thus capturing only a fraction of the industry's activity. With data from the open source platform GitHub, our study contributes an alternative proxy for productivity, complementing the literature by covering a broad range of software engineering. With user activity data covering the years 2015 to 2021, we relate cluster size to an individual's productivity. Our findings suggest that physical proximity to a large number of other knowledge workers in the same field leads to spillovers, increasing productivity considerably. In further analyses, we confirm the causal relationship with an IV approach and study heterogeneities by cluster size, initial productivity and project characteristics.
Schlagwörter: 
agglomeration effects
knowledge spillovers
open source
online collaboration
JEL: 
D62
J24
O33
O36
R32
Dokumentart: 
Working Paper

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