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

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  • Daniele Spinelli

    (University of Milano-Bicocca)

Abstract

Spatial regressions can be estimated in Stata using the spregress, spxtregress, and spivregress commands. These commands allow users to Ft spatial autoregressive models in cross-sectional and panel data. They are designed to estimate regressions with continuous dependent variables. The spatbinary command now allows Stata users to Ft spatial logit and probit models, which are important models in applied econometrics.

Suggested Citation

  • Daniele Spinelli, 2024. "Fitting spatial autoregressive logit and probit models using Stata: The spatbinary command," Italian Stata Users' Group Meetings 2024 12, Stata Users Group.
    • Handle: RePEc:boc:isug24:12
    as

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    File URL: http://repec.org/isug2024/Italy24_Spinelli.pdf
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    References listed on IDEAS

    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    2. Sylvain Weber & Martin Péclat, 2017. "A simple command to calculate travel distance and travel time," Stata Journal, StataCorp LLC, vol. 17(4), pages 962-971, December.
    3. Stephan Huber & Christoph Rust, 2016. "Calculate travel time and distance with OpenStreetMap data using the Open Source Routing Machine (OSRM)," Stata Journal, StataCorp LLC, vol. 16(2), pages 416-423, June.
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