MEMBER AREA

SPATIAL ECONOMETRICS ADVANCED INSTITUTE​

SEAI 2021

Where: Online
When: 31 May – 25 June 2021

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Course details

The Spatial Econometrics Advanced Institute (SEAI) is the advanced school of the Spatial Econometrics Association. It is held yearly and will consists of a 4-weeks course. It is a unique opportunity to be introduced to the methods and practice of Spatial Econometrics by the leading experts in the field.

The SEAI gave me a broader vision of the new advances in spatial econometrics, with such well-prepared Professors. I also met very qualified people in my area of research, building a privileged network.
Ana Maria Bonomi Barufi
Ana Maria Bonomi BarufiPast SEAI student
I really enjoyed this summer institute because it allowed me to understand the deep roots of spatial econometrics and statistics (thanks to the high quality of teachers) and to meet researchers with the same interests
Nicolas Debarsy
Nicolas DebarsyPast SEAI student
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ACTIVITIES

The program of activities will include 4 weeks, 5 days a week (Mon-Fri), 3 hours a day devoted to lectures (Mon-Wed) or to coding laboratory (Thu-Fri). Students may decide which laboratory to attend choosing between the following languages: R, STATA and Python.

FEES

The summer school SEAI2021 is offered free of charge to all Spatial Econometric Association members. Non-members can also be admitted to participate paying a fee of 100 euros before April 15th. Details on the method of payment will be communicated in due time.

CLASSES

Week I: 31st May-4th June,

Spatial Statistics I, Prof. D. A. Griffith, University of Texas at Dallas

Week II: 7th-11th June
Spatial Statistics II, Prof. P. Diggle, University of Lancaster

Spatial Econometrics  I, Prof. Anil Bera, University of Illinois at Urbana-Champain.

Spatial Econometrics  II, Prof. Giuseppe Arbia, University “Cattolica del Sacro Cuore ” of Rome.

Week III: 14th – 18st June 
Spatial Econometrics II, Prof. Giuseppe Arbia, University “Cattolica del Sacro Cuore ” of Rome.

Spatial Panel Econometrics, Prof. Jean Paul Elhorst, University of Groningen

Week IV: 21st-25th June
Bayesian Spatial Econometrics  and Bayesian spatial panels, Prof. James LeSage, Texas State University

Quantile spatial regression, Prof. Dan McMillen, University of Illinois at Chicago

 

LABS: R Chiara Ghiringhelli – STATA Elena Semerikova – PYTHON Vincenzo Nardelli

Spatial Econometrics Association promotes the development of theoretical tools and sound applications of the discipline of spatial econometrics, including spatial statistics and spatial data analysis.

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