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Industry localization, distance decay, and knowledge spillovers: Following the patent paper trail

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  • Figueiredo, Octávio
  • Guimarães, Paulo
  • Woodward, Douglas

Abstract

This paper investigates Alfred Marshall’s hypothesis that knowledge spillovers increase where industries are localized. At the same time, we take a fresh look at the role of distance in the diffusion of knowledge spillovers. Relying on a cited-citing gravity-like equation with high-dimensional fixed effects that control for multiple sources of observed and non-observed heterogeneity, we implement a Poisson pseudo-maximum-likelihood (PPML) estimator. We find that knowledge spillovers correlate positively with industry localization and that the agglomeration of an industry can offset the adverse effect of distance. The results also corroborate the distance decay effect uncovered in earlier research. Our new approach to estimate the PPML with two high-dimensional fixed effects should prove valuable in applications to a variety of other problems in economics, such as the estimation of gravity equations widely used in modeling migration, trade and other flows among countries and regions.

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  • Figueiredo, Octávio & Guimarães, Paulo & Woodward, Douglas, 2015. "Industry localization, distance decay, and knowledge spillovers: Following the patent paper trail," Journal of Urban Economics, Elsevier, vol. 89(C), pages 21-31.
  • Handle: RePEc:eee:juecon:v:89:y:2015:i:c:p:21-31
    DOI: 10.1016/j.jue.2015.06.003
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    More about this item

    Keywords

    Knowledge spillovers; Agglomeration; Distance decay; Gravity equation; Poisson regression; High-dimensional fixed effects;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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