Firm Location: A Spatial Point Process Approach

Autor(es)

Morales, Adriano Barasal ^[1] ; Laurini, Marcio Poletti ^[1]

Afiliação do(s) autor(es)

^[1] FEA RP Univ Sao Paulo, Dept Econ, Av Bandeirantes 3900, BR-14040905 Ribeirao Preto, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: APPLIED SPATIAL ANALYSIS AND POLICY; SEP 2021.
• Citações Web of Science: 0

Resumo

We propose an application of spatial statistics to model the location patterns of new firms in the city of Sao Paulo. In this paper, we assume that the spatial location of these firms was generated by a two-dimensional point process and thus we applied two distinct structures: a benchmark based on inhomogeneous Poisson process, and a stochastic intensity model based on the Log Gaussian Cox process (LGCP). We discuss the use of various types of covariates and generalizations with alternative forms of dependence, interaction effects and joint modeling of marked point processes. The results show the usefulness of these models the construction of spatial location models, combining different data sources and introducing new perspectives on the empirical study of location economics. (AU)

• Processo FAPESP: 18/04654-9 - Séries temporais, ondaletas e dados de alta dimensão
• Beneficiário: Pedro Alberto Morettin
• Modalidade de apoio: Auxílio à Pesquisa - Temático