Fitting spatial autoregressive logit and probit models using Stata: The spatbinary command

Daniele Spinelli

Stata Journal, 2022, vol. 22, issue 2, 293-318

Abstract: Starting from version 15, Stata allows users to manage data and fit regressions accounting for spatial relationships through the sp commands. Spatial regressions can be estimated using the spregress, spxtregress, and spivregress commands. These commands allow users to fit spatial autoregressive models in cross-sectional and panel data. However, they are designed to estimate regressions with continuous dependent variables. Although binary spatial regressions are im- portant in applied econometrics, they cannot be estimated in Stata. Therefore, I introduce spatbinary, a Stata command that allows users to fit spatial logit and probit models.

Keywords: spatbinary; spatbinary_impact; postestimation; spatial logit; spatial probit; spatial autoregressive models; marginal effects (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1177/1536867X221106373

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