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A spatial model incorporating dynamic, endogenous network interdependence: A political science application

Hays, Jude C. and Kachi, Aya and Franzese Jr., Robert J.. (2010) A spatial model incorporating dynamic, endogenous network interdependence: A political science application. Statistical Methodology, 7. pp. 406-428.

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Official URL: http://edoc.unibas.ch/51401/

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Abstract

We propose applying the multiparametric spatiotemporal autoregressive (m-STAR) model as a simple approach to estimating jointly the pattern of connectivity and the strength of contagion by that pattern, including the case where connectivity is endogenous to the dependent variable (selection). We emphasize substantively-theoretically guided (i.e., structural) specifications that can support analyses of estimated spatiotemporal responses to stochastic or covariate shocks and that can distinguish the possible sources of spatial association: common exposure, contagion, and selection (e.g., homophily. We illustrate this approach to dynamic, endogenous interdependence–which parallels models of network–behavior co-evolution in the longitudinal networks literature–with an empirical application that aims to disentangle the roles of economic interdependence, correlated external and internal stimuli, and EU membership in shaping labor market policies in developed democracies in recent years.
Faculties and Departments:06 Faculty of Business and Economics
06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften
06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften > Professuren Wirtschaftswissenschaften > Political Economics of Energy Policy (Kachi)
UniBasel Contributors:Kachi, Aya
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1572-3127
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:12 Jul 2018 10:04
Deposited On:12 Jul 2018 10:04

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