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

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  • Daniele Spinelli

    (University of Milan–Bicocca)

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.

Suggested Citation

  • Daniele Spinelli, 2022. "Fitting spatial autoregressive logit and probit models using Stata: The spatbinary command," Stata Journal, StataCorp LP, vol. 22(2), pages 293-318, June.
    • Handle: RePEc:tsj:stataj:v:22:y:2022:i:2:p:292-318
    DOI: 10.1177/1536867X221106373
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-2/st0672/
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    Cited by:

    1. Jiafeng Gu, 2024. "Neighborhood Does Matter: Farmers’ Local Social Interactions and Land Rental Behaviors in China," Land, MDPI, vol. 13(1), pages 1-17, January.
    2. Alessio Tomelleri & Anna Gloria Billé, 2023. "Do micro-enterprises ask for local support measures? Evidence after the COVID-19 pandemic," FBK-IRVAPP Working Papers 2023-04, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.

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