Specifying a joint space- and time-lag using a bivariate Poisson distribution |
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| Authors: | Daniel A Griffith Jean H P Paelinck |
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| Institution: | (1) Ashbel Smith Professor, School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, USA;(2) School of Public Policy, George Mason University, Fairfax, VA, USA |
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| Abstract: | Separate space- or time-lags have been considered regularly in data analyses; as space–time models are more recently being
studied extensively in data analytic fashion, joint estimation of both lags has to be considered explicitly. This paper addresses
this issue, taking into special consideration parametric parsimony together with specification richness; use of the bivariate
Poisson frequency distribution is advocated and applied to an empirical case. The relation of this approach to random effects
specifications is investigated. Data for Belgian regional products constitute the empirical case study.
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| Keywords: | Bivariate Poisson Generalized linear mixed model Space– time Value added Belgium |
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