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A Short Course on Spatial Econometrics and GIS

Author

Listed:
  • Burkey, Mark L.

Abstract

This resource gives a brief overview of a website and playlist of YouTube videos using open source software (R, GeoDa, and QGIS) designed to help get scholars up and running with analyzing their own data using Spatial Econometrics. Sample data, handouts, code, and map files are provided for ease of replication. The course covers the basics of integrating data into a spatial data set, contiguity and spatial correlation, doing basic spatial regressions in GeoDa, and doing more sophisticated specification tests and regressions in R.

Suggested Citation

  • Burkey, Mark L., 2018. "A Short Course on Spatial Econometrics and GIS," MPRA Paper 88575, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:88575
    as

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    File URL: https://mpra.ub.uni-muenchen.de/88575/2/MPRA_paper_88575.pdf
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    References listed on IDEAS

    as
    1. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    3. Mark L. Burkey, 2015. "Making Educational and Scholarly Videos with Screen Capture Software," REGION, European Regional Science Association, vol. 2, pages 3-10.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    spatial econometrics; instructional videos;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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