Schedule
Below is the schedule for the semester with the reading, and problem sets/exams due in each week of course. You can find the lecture slides and other materials under the “Materials” links for that week.
For the readings, we use the following codes:
- BH: Blitzstein and Hwang, Introduction to Probability, Second Edition.
- H1: Hansen, Introduction to Econometrics.
- H2: Hansen, Econometrics.
Here’s a guide to the schedule:
- Materials (): This page contains the readings, slides, and recorded lectures for the topic. Read and watch these first.
- Assignment (): This page contains the instructions for each assignment. Assignments are due by 11:59 PM on the day they’re listed.
| Date | Topic | Reading | Assignment | Materials |
|
Jan 25-29 (Week 1) |
Probability | BH Ch 1, 2 H1 Ch 1 |
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Feb 1-5 (Week 2) |
Random Variables | BH Ch 3 H1 Ch 2 |
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| Feb 3 | Problem Set 1 | |||
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Feb 8-12 (Week 3) |
Expectation & Variance | BH Ch 4 H1 Ch 2 |
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| Feb 10 | Problem Set 2 | |||
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Feb 15-19 (Week 4) |
Continuous Random Variables | BH Ch 5.1-5.3 H1 Ch 2 |
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| Feb 17 | Problem Set 3 | |||
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Feb 22-26 (Week 5) |
Multivariate Distributions | BH Ch 7 H1 4 |
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| Feb 24 | Problem Set 4 | |||
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Mar 1-5 (Week 6) |
Normal Distribution | BH 5.4, 7.5 H1 Ch 5 |
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| Mar 4-5 | Midterm Exam | |||
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Mar 8-12 (Week 7) |
Sampling, Estimation, and Asymptotics | BH Ch 10 H1 Ch 6,7 |
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Mar 15-19 (Week 8) |
More Asymptotics + Hypothesis Testing | H1 Ch 8, 13 | ||
| Mar 17 | Problem Set 5 | |||
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Mar 22-26 (Week 9) |
Confidence Intervals + Conditional Expectation | H1 Ch 14 H2 Ch 2.1-2.13 |
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| Mar 24 | Problem Set 6 | |||
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Mar 29-Apr 2 (Week 10) |
Conditional Expectation | H2 Ch 2.1-2.13 | ||
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Apr 5-9 (Week 11) |
Linear Regression Model | H2 Ch 2.14-2.30 | ||
| Apr 7 | Problem Set 7 | |||
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Apr 12-16 (Week 12) |
Least Squares | H2 Ch 3 H2 Ch 4 |
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| Apr 14 | Problem Set 8 | |||
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Apr 19-23 (Week 13) |
Properties of Least Squares | H2 Ch 4, 7 | ||
| Apr 22 | Problem Set 9 | |||
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Apr 26-30 (Week 14) |
Panel Data and Clustering | |||
| Apr 29 | Problem Set 10 | |||
| May 12-14 | Final Exam |