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- W1891802092 abstract "This paper proposes a bivariate marginal likelihood specification of spatial econometrics models that simplifies the derivation of the log-likelihood and leads to a closed form expression for the estimation of the parameters. With respect to the more traditional specifications of spatial autoregressive models, our method avoids the arbitrariness of the specification of a weight matrix, presents analytical and computational advantages and provides interesting interpretative insights. We establish small sample and asymptotic properties of the estimators and we derive the associated Fisher information matrix needed in confidence interval estimation and hypothesis testing." @default.
- W1891802092 created "2016-06-24" @default.
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- W1891802092 date "2013-01-04" @default.
- W1891802092 modified "2023-09-27" @default.
- W1891802092 title "A bivariate marginal likelihood specification of spatial econometric modeling of very large datasets" @default.
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- W1891802092 hasPublicationYear "2013" @default.
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