Spatial econometrics is the field where spatial analysis and econometrics intersect. In general, econometrics differs from other branches of statistics in focusing on theoretical models, whose parameters are estimated using regression analysis. Spatial econometrics is a refinement of this, where either the theoretical model involves interactions between different entities, or the data observations are not truly independent. Thus, models incorporating spatial auto-correlation or neighborhood effects can be estimated using spatial econometric methods. Such models are common in regional science, real estate economics, and education economics.
The first general text in the field was the 1979 book by Paelinck and Klaasen.
- Geographic information science
- Spatial autocorrelation
- Complete spatial randomness
- Modifiable Areal Unit Problem
- Spatial analysis
- Regression analysis
- Anselin, L. (1988). Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic.
- Anselin, L. (2010). "Thirty years of spatial econometrics". Papers in Regional Science 89 (1): 3–25. doi:10.1111/j.1435-5957.2010.00279.x.
- Griffith, D. A.; Paelinck, J. H. P. (2011). Non-standard Spatial Statistics and Spatial Econometrics. Heidelberg: Springer.
- LeSage, J. P.; Pace, R. K. (2009). Introduction to spatial econometrics. Boca Raton, FL: CRC Press.
- Paelinck, J.; Klaassen, L. (1979). Spatial econometrics. Farnborough: Saxon House.
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