The 2012 SEA World Conference features one day of intensive courses in Spatial Econometrics and Spatial Data Analysis, aimed at a beginning to intermediate audience. This short course provides an introduction to theoretical and applied spatial analysis and spatial econometrics. The course is divided into four modules: two theoretical lectures in the morning, and two lab sessions in the afternoon. All modules will be given on July, 11th. Participants are required to bring their own laptops, especially for the lab sessions.

There is a limited number of seats available on first come first served basis. There is no additional fee for the courses, but conference registration is mandatory. To secure your place, please send an e-mail to This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

PRE-REGISTRATION IS REQUIRED. If you want to attend the courses, please send an e-mail to This e-mail address is being protected from spambots. You need JavaScript enabled to view it indicating so. There is a limited number of seats available.

Program:
1. Introduction to Spatial Econometrics I:
9:00am-10:30am
Lecturer: Prof. Giuseppe Arbia

• Spatial econometrics: a brief history
• A general presentation of various data typologies in spatial econometrics

2. Introduction to Spatial Econometrics II:
11:00am-12:30pm
Lecturer: Prof. Giuseppe Arbia

• Random field models. Markov random fields. Some particular random field models.
• Specification of spatial econometrics models in terms of random fields: Spatial lag and spatial error models

3. Introduction to Spatial Analysis in OpenGeoda (Computer lab)
2:00pm-3:30pm - Don't forget to bring your own laptop
Lecturer: Pedro Amaral

• Introduction and overview of GeoDa functionalities
• Construction and properties of spatial weights
• Identifying clusters and spatial outliers

4. Introduction to Spatial Regression (Computer lab)
4:00pm-5:30pm - Don't forget to bring your own laptop
Lecturer: Dr. Daniel Arribas-Bel

• Regression diagnostics for spatial autocorrelation
• Estimation of spatial lag and spatial error models
• Analysis and interpretation of results

About the lecturers:
Prof. Giuseppe Arbia - Professor of Statistics and Econometrics, Universty "Cattolica del Sacro Cuore" of Rome, Italy, Director of SEAI. SEAI 2012 instructor.

Dr. Daniel Arribas-Bel - PhD Research Analyst at the GeoDaCenter for Geospatial Analysis and Computation, Arizona State University. SEAI 2012 instructor.

Pedro Amaral - PhD candidate at the University of Cambridge. Visiting student at the GeoDaCenter for Geospatial Analysis and Computation, Arizona State University.