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Regular version of the site

Spatial Econometrics

2019/2020
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Elective course
When:
4 year, 1 module

Instructor

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

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

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

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

Assessment Elements

  • non-blocking in-class tests
  • non-blocking homework
  • non-blocking class participation
  • non-blocking final exam
Interim Assessment

Interim Assessment

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

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