SYNGJOO CHOI
Department of Economics
University College London
HOME CONTACT VITA RESEARCH TEACHING
Environmental Econometrics (GR03 EEC) - Fall 2008
[ Course Syllabus ]
Locations and Time
Lectures: Monday, 9 ~ 11 am per week at Drayton Ricardo (B03) (Starting from Oct. 6 and ending on Dec. 8).
Tutorials: Tuesday, 9 ~ 11 am per week at the computer lab (B17) (Starting from Oct. 7 and ending on Dec. 9).
The tutorial classes will be delivered by TA, Jelmer Ypma (j.ypma@ucl.ac.uk).
Office hour: Monday, 3~4pm and by appointment.
Course Materials
Main textbook: J. Wooldridge (2006), Introductory Econometrics: A Modern Approach, 3rd Ed., South-Western.
Lectures notes and exercises will be available on the webpage.
In previous years, Jerome Adda taught the same course and his webpage contains useful information on the course.
In the tutorial classes we will learn how to apply the econometrics tools into several empirical data, using a statistical software called Stata. The data set is available below.
Any update on the materials of the tutorial classes can be also found at Jelmer Ypma's website, http://www.ucl.ac.uk/~uctpjyy/teaching.html.
HOMEWORKS - [ Homework1, Homework2, Homework3 ]
STATA Introduction and Data Files for Tutorial Classes - [ Stata, Data_GR03.zip ]
STATA Program Files for Exercises - [ Unbiased_OLS, Heteroskedasticity, Nonstationary, Spurious ]
Course Outline
Linear Regression Models - Wooldridge Ch. 2~5 and 7
[LecNote1, LecNote2, LecNote3 ], [ Exer1, Exer2, Exer3 ]
- Simple Regression to Multiple Regression, Ordinary Least Squares (OLS) Estimation and Goodness of Fit
- Hypothesis Testing and Large Sample Properties of OLS
- Consequences of Heteroskedasticity and Autocorrelation
- Testing for Heteroskedasticity and Autocorrelation
- Generalized Least Squares (GLS) Estimation
- Endogeneity, Instrumental Variables (IV) Estimation and two-stage Least Squares
- Simultaneity Bias, Identification and Estimation of Simultaneous Equations Models
Limited Dependent Variable Models - Wooldridge Ch 17
[ LecNote6, LecNote7, LecNote8], [ Exer6, Exer7, Exec8 ]
- Problems of using OLS for Binary Response Models
- Maximum Likelihood Estimation, Logit and Probit Models
- Ordered Probit Model; Poisson Regression Model
- Censored Dependent Variables and Tobit Models
- Stationarity and Nonstationarity;
- AR and MA processes; Unit Root
- VAR; Granger Causality
Final Exams in the previous years