A review of spatial econometric models for count data

Glaser, Stephanie

A review of spatial econometric models for count data

dc.contributor.author	Glaser, Stephanie	de
dc.date.accessioned	2024-04-08T08:54:44Z
dc.date.available	2024-04-08T08:54:44Z
dc.date.created	2017-08-24
dc.date.issued	2017
dc.description.abstract	Despite the increasing availability of spatial count data in research areas like technology spillovers, patenting activities, insurance payments, and crime forecasting, specialized models for analysing such data have received little attention in econometric literature so far. The few existing approaches can be broadly classified into observation-driven models, where the random spatial effects enter the moments of the dependent variable directly, and parameterdriven models, where the random spatial effects are unobservable and induced via a latent process. Moreover, within these groups the modelling approaches (and therefore the interpretation) of spatial effects are quite heterogeneous, stemming in part from the nonlinear structure of count data models. The purpose of this survey is to compare and contrast the various approaches for econometric modelling of spatial counts discussed in the literature.	en
dc.identifier.swb	492773122
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/6182
dc.identifier.urn	urn:nbn:de:bsz:100-opus-13975
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2017,19
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject.ddc	330
dc.subject.gnd	Ökonometrisches Modell	de
dc.subject.gnd	Zähldaten	de
dc.title	A review of spatial econometric models for count data	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.bibtex	@techreport{Glaser2017, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6182}, author = {Glaser, Stephanie}, title = {A review of spatial econometric models for count data}, year = {2017}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
local.export.bibtexAuthor	Glaser, Stephanie
local.export.bibtexKey	Glaser2017
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	520	de
local.opus.number	1397
local.series.issueNumber	2017,19
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Faculty of Business, Economics and Social Sciences	en
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institute for Economics	en
local.university.institute	Institut für Volkswirtschaftslehre	de

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