TRAINING COURSE
New: The lecture presentation is available here
December 21st, 2018, 10h00 -12h00
Title: “Spatial Econometrics”
By Raja Chakir, INRA-AgroParisTech, France
This course is a lecture-based introduction to the methodology and application of spatial econometric models for Master and Ph.D. students.
The objective of the course is to provide an introduction to spatial econometrics. Students will learn how to model and incorporate spatial dependencies into their empirical analyses.
The course will cover topics such as: Exploratory Spatial Data Analysis, spatial tests, spatial model choice and specification. Estimation methods presented will include MLE (Maximum Likelihood) and GLS (Generalized Least Squares).
Bibliography:
English:
1. Elhorst, J. P. (2014): Spatial econometrics : from cross-sectional data to spatial panels, Springer.
2. LeSage and Pace (2009), Introduction to spatial econometrics, s. Boca Raton, Taylor & Francis;
3. Anselin L. (1988), Spatial econometrics: Methods and models. Kluwer Academic Publishers.
French:
1. Le Gallo J. (2004), Hétérogénéité spatiale, principes et méthodes, Economie et Prévision, vol. 162, pp. 151-172.
2. Le Gallo J. (2002), Econométrie spatiale : l’autocorrélation spatiale dans les modèles de régression linéaire, Economie et Prévision, vol. 155, pp. 139-158.
3. Jayet H. (2001), Econométrie des données spatiales. Une introduction à la pratique, Cahiers d’Economie et de Sociologie Rurale, vol. 58-59, pp. 105-129.