Burkey, Mark L. (2018): A Short Course on Spatial Econometrics and GIS.
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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.
Item Type: | MPRA Paper |
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Original Title: | A Short Course on Spatial Econometrics and GIS |
Language: | English |
Keywords: | spatial econometrics, instructional videos |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics |
Item ID: | 88575 |
Depositing User: | Mark L. Burkey |
Date Deposited: | 21 Aug 2018 18:25 |
Last Modified: | 26 Sep 2019 08:07 |
References: | Anselin , Luc (1988) Spatial Econometrics: Methods and Models, (Dorddrecht: Kluwer Academic Publishers). Anselin, Luc, Ibnu Syabri and Youngihn Kho (2006). GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis 38 (1), 5-22. Roger Bivand, Gianfranco Piras (2015). Comparing Implementations of Estimation Methods for Spatial Econometrics. Journal of Statistical Software, 63(18), 1-36. URL http://www.jstatsoft.org/v63/i18/. Bivand, R. S., Hauke, J., and Kossowski, T. (2013). Computing the Jacobian in Gaussian spatial autoregressive models: An illustrated comparison of available methods. Geographical Analysis, 45(2), 150-179. Burkey, Mark L. (2018) “Making Educational and Scholarly Videos with Screen Capture Software,” REGION (Journal of the European Regional Science Association), 2(2), R2-10. Burkey, Mark L. (2018) “The Mother of all R Spatial Econometrics Handouts”. Available from http://spatial.burkeyacademy.com Lesage, James. (2014). What Regional Scientists Need to Know About Spatial Econometrics. The Review of Regional Studies, 44(1), 13-32. LeSage, James P., and R. Kelley Pace. (2009) Introduction to Spatial Econometrics, CRC Press, Boca Raton, FL. QGIS Development Team (2018). QGIS Geographic Information System. Open Source Geospatial Foundation Project. http://qgis.osgeo.org. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/88575 |