GMM Estimators for Binary Spatial Models in R

GMM Estimators for Binary Spatial Models in R

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Despite the huge availability of software to estimate cross-sectional spatial models, there are only few functions to estimate models dealing frostie diet root beer with spatial limited dependent variable.This paper fills this gap introducing the new R package spldv.The package is based on generalized methods of moment (GMM) estimators and includes a series of one- and two-step estimators warren pear tree for sale based on different choices of the weighting matrix for the moments conditions in the first step, and different estimators for the variance-covariance matrix of the estimated coefficients.An important feature of spldv is that users can estimate the spatial Durbin model and compute the direct, indirect, and total effects in a friendly and flexible way.