School of Social Sciences
Division of Economics
HE3003/HE3021/HE3621 –Econometrics II
This course builds on the earlier Econometrics I and discusses estimation using
cross-sectional data, time series data, and panel data. Topics covered include least-squares,
maximum likelihood, instrumental variables, probit and logit models, and linear panel data
models, among others.
MEETING
Lecture : Mondays, 9:30 AM-11:20 AM (LT 25 South)
Tutorial: 8 groups available. You must only attend your assigned group.
TEACHING FACULTY
Office
Telephone
Wang Wei Siang
SHHK 04-55 6514 1092
E-mail
wswang@ntu.edu.sg
CONSULTATION HOURS
During tutorials or by appointment
PREREQUISITE
HE2003 or HE2005
RECOMMENDED TEXT* and REFERENCE BOOKS
1. Wooldridge, Jeffery, Introductory Econometrics: A Modern Approach* (8th ed. 2024).
2. Gujarati, D. N. and D. Porter, Basic Econometrics (5th ed. 2009).
3. Hill, R.C., W. E. Griffiths, and G.C. Lim, Principles of Econometrics (5th ed. 2018).
4. Stock, James and Mark Watson, Introduction to Econometrics, Global edition (4th ed.
2019).
ASSESSMENT
Your final grade in this course will be based on the following three components.
Assignment & Participation
20%
Two Quizzes (Feb 23 and April 13)
30%
Final Examination
50%
Proposed Lecture Schedule*^
Topics
1. REGRESSION ANALYSIS: OVERVIEW
Reading
2. BASIC REGRESSION ANALYSIS WITH TIME
Wooldridge: Ch. 10-12 & Lecture
Notes
Wooldridge: Ch. 1-9 & Lecture Note
SERIES DATA
3. BINARY CHOICE MODELS: LPM, PROBIT, AND
LOGIT
4. ENDOGENEITY AND INSTRUMENTAL
VARIABLES
Wooldridge: Ch. 17 & Lecture Notes
Wooldridge: Ch. 15-16 & Lecture
Notes
5. PANEL DATA MODELS: FIXED EFFECTS,
Wooldridge: Ch. 13-14 & Lecture
RANDOM EFFECTS, AND CORRELATED RANDOM
Notes
EFFECTS
* The instructor reserves the right to change the content if it is in the best interest of student
learning.
^Version: Jan 2026
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