Applied Econometrics of Panel and Spatial Data
- deepen their knowledge of econometric analysis of panel data and spatial econometrics.
- 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.
- 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
- Interim assessment (1 module)0.2 * class participation + 0.5 * exam + 0.3 * in-class computer test
- 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
- 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