Spatial Econometrics

2020/2021

Academic Year

ENG

Instruction in English

6

ECTS credits

Delivered at:

Department of Economics

Course type:

Elective course

When:

4 year, 1 module

Instructor

Ivanova, Vera

Course Syllabus

Abstract

Over past decades, economic models have been gradually incorporating the existence of spatial relationships between regions, firms, individuals, etc. “Spatial econometrics” course includes techniques and methods to model spatial data taking into account interaction (spatial spillover) effects and spatial heterogeneity. Spatial econometrics is an active and fast-growing area of research, spurred by the increasing availability of spatial data, i.e. geo-referenced data. These techniques, many of which are still in their early development, use different analytic approaches and are applied in different fields of economics.

Learning Objectives

• getting acquaintance with main techniques of spatial statistics and econometrics along with the main issues posed by the geospatial data analysis and by the construction and estimation of spatial econometric models.

Expected Learning Outcomes

• Know overview of the relevant theory as well as exposure to empirical applications of spatial econometric models in economics
• Know standard techniques of revealing spatial autocorrelation in geo-referenced data
• Be able to estimate basic spatial econometric regressions using modern econometrics software
• Be able to interpret the estimates

Course Contents

• Introduction to spatial econometrics
• Basic spatial regression models. Tests for the structure of spatial dependence in the model.
• Estimating spatial regression models
• Motivating and interpreting spatial econometric models
• Applications of spatial regression models in regional science

Assessment Elements

• in-class tests
• homework
• class participation
• final exam

Interim Assessment

• Interim assessment (1 module)
  0.1 * class participation + 0.5 * final exam + 0.2 * homework + 0.2 * in-class tests

Bibliography

Recommended Core Bibliography

• Elhorst, J. P. (DE-588)171025091, (DE-576)131852809. (2014). Spatial econometrics : from cross-sectional data to spatial panels / J. Paul Elhorst. Heidelberg [u.a.]: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.396630170

Recommended Additional Bibliography

• Baltagi, B. H., LeSage, J. P., & Pace, R. K. (2017). Spatial Econometrics : Qualitative and Limited Dependent Variables (Vol. First edition). Bingley, UK: Emerald Group Publishing Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1423719