Abstract
What should be clear from the exercises presented is that in most of them, classical “regression” has been combined with mathematical programming to obtain the desired estimators.
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What should be clear from the exercises presented is that in most of them, classical “regression” has been combined with mathematical programming to obtain the desired estimators.
Most notable is that multiple regimes have been systematically selected. A case in point appears in Chap. 14, when inspection of residuals leads not only to two regimes, but to as many of them as there are spatial units, this through the use of composite parameters.
However, the exploration is far from being finished (Paelinck, 2004). Many analytical tools, as yet unexplored, lay at our avail, or, better even, wait to be invented. Several of these “inventions” are presented in the preceding discussion—extended Lotka-Volterra models, robust linear estimators for logistic and Poisson distributions, qualitative estimators to treat poor data—but many others, well adapted to spatial econometrics, could be or are formulated, such as PPFDEs, mentioned in Chap. 10 (Introduction: spatial econometrics) to this part (Coutrot et al., 2009).
The loose Latin saying Contentum sui operis necesse, maximae sunt divitiae could be the motto of the spatial econometrician: never been satisfied by his work, should be his ultimate riches…
References
Coutrot, B., Paelinck, J.H.P., Sallez, A. 2009. Analyzing the complexity of knowledge-based spatial economic developments, Région et Développement, 29: 201–228.
Paelinck, J.H.P. 2004. Veinte años de econometría espacial, Proceedings of the Primer Seminario de Econometría Espacial Jean Paelinck, Universidad de Zaragoza, Departamento de Análisis Económico, Zaragoza, Spain, pp. 1–20.
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Griffith, D.A., Paelinck, J.H. (2011). General Spatial Econometric Conclusions. In: Non-standard Spatial Statistics and Spatial Econometrics. Advances in Geographic Information Science, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16043-1_18
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DOI: https://doi.org/10.1007/978-3-642-16043-1_18
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