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Productivity Spillovers among Knowledge Workers in Agglomerations: Evidence from GitHub
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Productivity Spillovers among Knowledge Workers in Agglomerations: Evidence from GitHub

Lena El-Komboz, Thomas Fackler, Moritz Goldbeck and Thomas Fackler
Illumina TPD EconLit - unstructured
01/01/2024

Abstract

Externalities (D62) high-skilled labor, geography, innovation, peer effects, collaboration Human Capital, Skills, Occupational Choice, Labor Productivity (J24) Open Innovation (O36) Other Spatial Production and Pricing Analysis (R32) Technological Change: Choices and Consequences, Diffusion Processes (O33)
Software engineering is prototypical of knowledge work in the digital economy and exhibits strong geographic concentration, with Silicon Valley as the epitome of a tech cluster. We investigate productivity effects of knowledge worker agglomeration. To overcome existing measurement challenges, we track individual contributions in software engineering projects between 2015 and 2021 on GitHub, the by far largest online code repository platform. Our findings demonstrate individual productivity increases by 2.8 percent with a ten percent increase in cluster size, the share of the software engineering community in a technology field located in the same city. Instrumental variable and dynamic estimation results suggest these productivity effects are causal. Productivity gains from cluster size growth are strongest for clusters hosting between 0.67 and 13.5% of a community. We observe a disproportionate activity increase in high-quality, large, and leisure projects and for co-located teams. Overall, software engineers benefit from productivity spillovers due to physical proximity to a large number of peers in their field.

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