<p>Spatial dynamic panel models are widely used in econometrics and other fields. However, the applications in R have been limited. The R package SDPDmod aims to fill this gap. SDPDmod enables the modeling of spatial dynamic panel data with fixed effects using a quasi-maximum likelihood (QML) estimation for a spatial autoregressive (SAR) model. Furthermore, it provides model selection based on Bayesian log-marginal posterior probabilities and a calculation of different types of spatial weights matrices. Package functionality, as well as numerical comparison to other software is shown in this paper.</p>

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SDPDmod: An R Package for Spatial Dynamic Panel Data Modeling

  • Rozeta Simonovska

摘要

Spatial dynamic panel models are widely used in econometrics and other fields. However, the applications in R have been limited. The R package SDPDmod aims to fill this gap. SDPDmod enables the modeling of spatial dynamic panel data with fixed effects using a quasi-maximum likelihood (QML) estimation for a spatial autoregressive (SAR) model. Furthermore, it provides model selection based on Bayesian log-marginal posterior probabilities and a calculation of different types of spatial weights matrices. Package functionality, as well as numerical comparison to other software is shown in this paper.