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Mapping regional spillover effects in México from spatial autoregression using Stata

Author

Listed:
  • Janeth Y. Rodríguez

    (Insituto Politécnico Nacional, IPN)

  • Juan F. Islas

    (Insituto Politécnico Nacional, IPN)

Abstract

We discuss the Anselin (1988, 2005) typology to explore the spatial dependency of the data and confirm the spatial effects, contiguity spatial weighting matrices and impact decomposition for Mexican states and municipalities. Two examples of regional microeconomic spillovers interest us: 2010–2022 changes in enrollment and graduated at higher education in social sciences with the ANUIES dataset and 2005–2022 Mincer schooling returns distribution with the ENOE and INEGI microdata. The syntax, matrix results, and templates that are presented show the versatility of Stata and Mata as ideal tools in the management and analysis of large volumes of data with a focus on statistical and econometric analysis with strategies based on learning and teaching that require the use of real and recent information to be replicated, summarized, and analyzed with algorithms, procedures, and structured code.

Suggested Citation

  • Janeth Y. Rodríguez & Juan F. Islas, "undated". "Mapping regional spillover effects in México from spatial autoregression using Stata," Mexican Stata Conference 2023 20, Stata Users Group.
    • Handle: RePEc:boc:mexi23:20
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