The Spatial Decay of Human Capital Externalities - A Functional Regression Approach with Precise Geo-Referenced Data

Johann Eppelsheimer and Christoph Rust
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Johann Eppelsheimer: Institute for Employment Research (IAB), Nuremberg, Germany
Christoph Rust: Universität Regensburg

No 202021, IAB-Discussion Paper from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "This paper analyzes human capital externalities from high-skilled workers by applying functional regression to precise geocoded register data. Functional regression enables us to describe the concentration of high-skilled workers around workplaces as continuous curves and to efficiently estimate a spillover function that depends on distance. Furthermore, our rich panel data allow us to address the sorting of workers and to disentangle human capital externalities from supply effects by using an extensive set of time-varying fixed effects. Our estimates reveal that human capital externalities attenuate with distance and disappear after 15 kilometers. Externalities from the immediate neighborhood are twice as large as those from surroundings ten kilometers away." (Author's abstract, IAB-Doku) ((en))

Keywords: Bundesrepublik Deutschland; Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB); Auswirkungen; Beschäftigtenstruktur; Diffusion; Einkommenseffekte; Hochqualifizierte; IAB-Betriebs-Historik-Panel; Informationsfluss; Qualifikationsstruktur; regionale Verteilung; soziales Netzwerk; Arbeitsplatzdichte; Wissenstransfer; 2000-2014 (search for similar items in EconPapers)
JEL-codes: C13 D62 J24 J31 R10 R12 (search for similar items in EconPapers)
Pages: 55 pages
Date: 2020-07-22
New Economics Papers: this item is included in nep-geo, nep-lma and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabdpa:202021

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