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

dc.contributor.authorSweeney, Stuart
dc.contributor.authorGómez de Antonio, Miguel
dc.date.accessioned2023-06-18T05:57:28Z
dc.date.available2023-06-18T05:57:28Z
dc.date.issued2016
dc.descriptionWe 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.
dc.description.abstractThe 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.
dc.description.departmentDepto. de Economía Aplicada, Pública y Política
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/56854
dc.identifier.doi10.1111/jors.12238
dc.identifier.issn1467-9787
dc.identifier.officialurlhttp://dx.doi.org/10.1111/jors.12238
dc.identifier.urihttps://hdl.handle.net/20.500.14352/23657
dc.issue.number2
dc.journal.titleJournal of Regional Science
dc.language.isoeng
dc.page.final287
dc.page.initial257
dc.publisherWiley-Blackwell
dc.relation.projectIDECO2012-36032-C03-01
dc.rights.accessRightsopen access
dc.subject.ucmAnálisis numérico
dc.subject.ucmEconometría (Economía)
dc.subject.unesco1206 Análisis Numérico
dc.subject.unesco5302 Econometría
dc.titleLocalization and industry clustering econometrics: An assessment of gibbs models for spatial point Processes
dc.typejournal article
dc.volume.number56
dspace.entity.typePublication
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