Learn R Programming

spldv (version 0.1.3)

Spatial Models for Limited Dependent Variables

Description

The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators . It supports one-step (Pinkse and Slade, 1998) and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) . It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) .

Copy Link

Version

Install

install.packages('spldv')

Monthly Downloads

211

Version

0.1.3

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Mauricio Sarrias

Last Published

October 11th, 2023

Functions in spldv (0.1.3)

sbinaryGMM

Estimation of SAR for binary dependent models using GMM
getSummary.binlgmm

Get Model Summaries for use with "mtable" for objects of class binlgmm
impacts.bingmm

Estimation of the average marginal effects for SARB model estimated using GMM procedures.
getSummary.bingmm

Get Model Summaries for use with "mtable" for objects of class bingmm
impacts

Estimation of the average marginal effects for SARB models.
sbinaryLGMM

Estimation of SAR for binary models using Linearized GMM.