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Regular version of the site

Applied Econometrics of Panel and Spatial Data

2019/2020
Academic Year
ENG
Instruction in English
5
ECTS credits
Course type:
Elective course
When:
2 year, 1 module

Instructor

Course Syllabus

Abstract

The course “Applied Paned Data and Spatial Econometrics” is aimed at students with background in statistics and econometrics. The course contains lectures (20 hours) and seminars (24 hours). Lectures cover all the topics, but some technical details are left for self-study of students with the use of the presentations and literature. Seminars involve solving applied tasks with the use of simulated and real data.
Learning Objectives

Learning Objectives

  • deepen their knowledge of econometric analysis of panel data and spatial econometrics
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand econometric theory underlying fixed effects and random effects models, first difference model, dynamic panel model, Taylor-Hausman model, panel data fixed effects and random effects models, first order spatial lag model and related models, panel data and binary choice spatial models, heteroscedasticity and serial correlation robust estimators.
  • Be able to choose an estimator based on its statistical features, assumptions underlying related theory, and the nature of data at hand.
Course Contents

Course Contents

  • Introduction to panel data econometrics
  • Fixed effects and related models
  • The use of fixed effects and related models
  • Random effects model
  • Heteroscedasticity and auto-correlation in panel data models
  • Dynamic panel data regression
  • Binary choice panel data models
  • Introduction to spatial econometrics
  • First order spatial lag model and related models
  • Choice of specification using spatial models
  • Spatial panel data regressions
  • Spatial binary choice models
Assessment Elements

Assessment Elements

  • non-blocking in-class computer test
  • non-blocking class participation
  • non-blocking written final exam
Interim Assessment

Interim Assessment

  • Interim assessment (1 module)
    0.2 * class participation + 0.3 * in-class computer test + 0.5 * written final exam
Bibliography

Bibliography

Recommended Core Bibliography

  • Tsionas, M. (2019). Panel Data Econometrics : Theory (Vol. First edition). London: Academic Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1951497

Recommended Additional Bibliography

  • Arellano, M. (DE-588)13168423X, (DE-627)512717885, (DE-576)298671840. (2003). Panel data econometrics Manuel Arellano. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.092725740