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Testing for Spatial Autocorrelation in Stata

Author

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  • Keisuke Kondo

    (Research Institute of Economy, Trade and Industry and Research Institute for Economics and Business Administration, Kobe University, JAPAN)

Abstract

This paper introduces the new Stata command moransi, which allows users to easily compute global and local Moran's I statistics in Stata. The fundamental feature of the moransi command is that the spatial weight matrix is constructed internally within a sequence of the program code. The additional information required in the dataset to implement this command are the latitude and longitude of regions. This paper presents two applied examples of the moransi command to deepen the understanding of global and local spatial autocorrelation.

Suggested Citation

  • Keisuke Kondo, 2025. "Testing for Spatial Autocorrelation in Stata," Discussion Paper Series DP2025-03, Research Institute for Economics & Business Administration, Kobe University.
    • Handle: RePEc:kob:dpaper:dp2025-03
    as

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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2025-03.pdf
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    References listed on IDEAS

    as
    1. Anderson, James E, 1979. "A Theoretical Foundation for the Gravity Equation," American Economic Review, American Economic Association, vol. 69(1), pages 106-116, March.
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    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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