Pspatreg: R Package for Semiparametric Spatial Autoregressive Models

Román Mínguez (), Roberto Basile and María Durbán
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Román Mínguez: University of Castilla-La Mancha, Av. de los Alfares, 44, 16002 Cuenca, Spain
Roberto Basile: University of Rome Sapienza, 00185 Rome, Italy
María Durbán: Carlos III University of Madrid, 28903 Madrid, Spain

Mathematics, 2024, vol. 12, issue 22, 1-27

Abstract: This article introduces the R package pspatreg, which is publicly available for download from the Comprehensive R Archive Network, for estimating semiparametric spatial econometric penalized spline (P-Spline) models. These models can incorporate a nonparametric spatiotemporal trend, a spatial lag of the dependent variable, independent variables, noise, and time-series autoregressive noise. The primary functions in this package cover the estimation of P-Spline spatial econometric models using either Restricted Maximum Likelihood (REML) or Maximum Likelihood (ML) methods, as well as the computation of marginal impacts for both parametric and nonparametric terms. Additionally, the package offers methods for the graphical display of estimated nonlinear functions and spatial or spatiotemporal trend maps. Applications to cross-sectional and panel spatial data are provided to illustrate the package’s functionality.

Keywords: semiparametric regression; spatial econometrics; P-splines (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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