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Summer School on Spatial Econometrics by Professor Paul Elhorst

2017-02-22

June 17-21, 2017, 

Jinan University, Guangzhou, China

 

The School of Economics and the Institute for Economic and Social Research at Jinan University are pleased to announce a five-day summer school on spatial econometrics, which takes place on June 17-21, 2017 in Guangzhou. Professor Paul Elhorst will give a series of lectures on spatial econometrics at our school. He will present different model specifications and their corresponding estimators, as well as critically discuss the purposes for which these models can be used and how their results should be interpreted. Special attention is paid to the interpretation of spatial spillover effects. He will also present how to estimate spatial econometrics in Matlab. His lectures will cover the following topics:

 

  • Introduction to Spatial Econometric Modeling

  • Estimation of Spatial Econometric Models

  • The SLX Approach, Bayesian Comparison Approach

  • Static Models Based on Spatial Panels

  • Dynamic Spatial Panel Data Models

  • Common Factors

  • Practicum Estimation of Spatial Econometric Models with Matlab

 

Paul Elhorst is Professor of Spatial Econometrics at the University of Groningen, the Netherlands, and Editor-in-Chief of Spatial Economic Analysis. He has published many refereed articles on spatial econometrics in peer reviewed journals, among which are Journal of Applied EconometricsJournal of Regional ScienceRegional Science and Urban Economics and Spatial Economic Analysis. In 2014 he published the book Spatial Econometrics: From Cross-sectional Data to Spatial Panels, which is also translated into Chinese. Over the years he also provided several Matlab routines on spatial econometrics at his website, which are widely used by scholars.

We aim to select a group of postgraduate students and junior researchers who are keen to learn spatial econometrics in the summer school. For those who are interested in participating in the summer school, please send a note of interest and motivation plus CV to ssse.gz2017@outlook.com as soon as possible but not later than May 1st, 2017. There is no registration fee for attending the summer school. Participants need only to pay their own cost of accommodation and transportation. Participants willing to present their own research using spatial econometric techniques (please indicate) are especially welcome. 

We will select candidates on a rolling basis. Early applications are welcome. For further information, please contact Miss Caixia Liu at ssse.gz2017@outlook.com.

The School of Economics and the Institute for Economic and Social Research, Jinan University

 

Lecture Outlines in the Summer School

Day 1

-          Opening Day (9.00-9.30)   Introduction, Registration & Formalities

-          Morning (9.30 -12.00)       Spatial Econometric Modeling: Spatial Interaction and

Spillover Effects

-          Afternoon (13.30 -15.30)   Estimation of Spatial Econometric Models and the

Impact of W

-          Lab (15.30-17.30)              Practicum Estimation of Spatial Econometric Models

with Matlab

Day 2

-          Morning (9.00 -12.00)        The SLX approach, Bayesian comparison approach

-          Lab (afternoon)                  Practicum Estimation of Spatial Econometric Models

with Matlab and Stata

-          Presentations by participants of their own research

Day 3

-          Morning (9.00 -12.00)      Spatial Panels

-          Lab (afternoon)                  Practicum + Assignment

-          Presentations by participants of their own research

 Day 4

-          Morning (9.00 -12.00)        Dynamic Spatial Panel Data Models with Common

Factors

-          Lab (afternoon)                  Practicum + Assignment

-          Presentations by participants of their own research

Day 5

-          Flexible, presentations by participants and outside speakers, additional presentations dependent on problems raised during the school.


Lectures are based on the book: 

-          Elhorst J.P. (2014) Spatial Econometrics: From Cross-sectional Data to Spatial Panels. Springer, Heidelberg New York Dordrecht London

 

Plus

-          Halleck Vega, S., Elhorst J.P. (2015) The SLX model. Journal of Regional Science 55(3): 339-363.

-          Halleck Vega S., Elhorst J.P. (2016) A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors.Regional Science and Urban Economics 60 (2016) 85-95.

-          Elhorst, J.P. (2016) Spatial Panels. Encyclopedia of GIS (2nd Edition). Springer, Berlin Heidelberg. Forthcoming.

-          Elhorst J.P., Halleck Vega S.M (2017) The SLX model: Extensions and the sensitivity of spatial spillovers to W, Papeles de Economía Española, forthcoming.

 

Plus

-          Computer lab assignments downloadable from  (spatial econometrics)


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