(Article of periodic en Anglais - 2013)

Document title

A spatial autoregressive Poisson gravity model

Authors(s) and Affiliation(s)



A Poisson gravity model is introduced that incorporates spatial dependence of the explained variable without relying on restrictive distributional assumptions of the underlying data-generating process. The AA. derive a two-stage nonlinear least-squares estimator that is hetero-scedasticity-robust and controls for the problem of over- or underdispersion that often is present in the empirical analysis of discrete data . In the model specification, the resulting parameter estimates can be interpreted as the implied total impact effects defined as the sum of direct and indirect spatial feedback effects. The model is illustrated by analyzing patent citation flows data across European regions.


Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 2013, vol. 45, no2 [pp. 180-201]

Bibliographic references : 2 p.

Collation : 2 fig., 3 tabl., équations



INIST-CNRS, Cote INIST : 17078

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1111/gean.12007

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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