Localization and industry clustering econometrics: An assessment of gibbs models for spatial point Processes



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Sweeney, Stuart and Gómez de Antonio, Miguel (2016) Localization and industry clustering econometrics: An assessment of gibbs models for spatial point Processes. Journal of Regional Science, 56 (2). pp. 257-287. ISSN 1467-9787

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Official URL: http://dx.doi.org/10.1111/jors.12238


The objective of this paper is to assess an approach to statistical modeling of point referenced establishment data that permit inclusion of "environmental" or establishment-specific covariates and specific forms of interestablishment interaction. Gibbs models are used to decompose the conditional intensity of the spatial point process into trend and interaction components. The trend is composed of access measures (primarily different classes of roads) and three different interaction processes are tested: Geyer, area interaction, and Strauss hard core. While the models used have proved to be useful in ecology, we are unaware of any applications to establishment or firm data. In empirical application, the models yield intuitively appealing results for the trend component, and the ability to specify the interaction component gives deeper insights into interestablishment spatial dynamics than any previously published methods.

Item Type:Article
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We would like to thank the participants in the 55th European Regional Science Association and
the 89th Western Economic Association International conferences and three anonymous referees for their valuable comments and suggestions. Miguel Gomez-Antonio acknowledges financial support from the ECO2012-36032-C03-01 research funding and Stuart Sweeney acknowledges support from National Science Foundation award BCS-0454993.

Subjects:Sciences > Mathematics > Numerical analysis
Social sciences > Economics > Econometrics
ID Code:56854
Deposited On:30 Aug 2019 08:45
Last Modified:21 Oct 2020 12:50

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