Fall 2025 - ECON 837 G100
Econometric Theory I (4)
Class Number: 1084
Delivery Method: In Person
Overview
-
Course Times + Location:
Sep 3 – Dec 2, 2025: Mon, 1:30–2:20 p.m.
BurnabySep 3 – Dec 2, 2025: Wed, 12:30–2:20 p.m.
Burnaby
-
Instructor:
Xiaoting Sun
xsa46@sfu.ca
-
Prerequisites:
ECON 835 or equivalent.
Description
CALENDAR DESCRIPTION:
Covers probability theory and statistical inference. Topics may include an introduction to measure and probability theory, integration and mathematical expectations, stochastic limit theory, asymptotic theory, mathematical statistics, and an introduction to GMM and maximum likelihood estimation and the concept of identification.
COURSE DETAILS:
This course is an introduction to probability theory and statistical inference designed for first year economics Ph.D. students. Students are expected to have taken calculus, linear algebra and some introductory probability and statistics.
Topics: Probability Theory; Measure Theory; Identification; Statistical Inference.
Grading
- Assignments 20%
- Midterm Exam 35%
- Final Exam 45%
Materials
RECOMMENDED READING:
- Hogg, Craig and McKean, 2018, "Introduction to Mathematical Statistics," 8th edition, Pearson.
- Casella and Berger, 2002, “Statistical Inference”, Second Edition, Duxbury.
- Cameron and Trivedi, 2005, “Microeconometrics: Methods and Applications”, Cambridge University Press.
- Li, Q., & Racine, J. S. 2007, “Nonparametric econometrics: theory and practice”, Princeton University Press.
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.