Teaching

I teach graduate econometrics at Northwestern. Course materials are distributed through Canvas. Recorded lectures for Econ 480 are publicly available below.

Current Courses

Offered at Northwestern University, Department of Economics.

Econ 480-3: Introduction to Econometrics

Graduate · Spring quarter

Core graduate course covering estimation, identification, and inference in econometric models. Lecture notes and assignments distributed on Canvas.

Math 386-2: Econometrics for MMSS II

Undergraduate · Spring quarter

Second course in econometrics for the Mathematical Methods in the Social Sciences program. Course materials on Canvas.

Econ 480 — Recorded Lectures

Recorded during Spring 2021, when Econ 480-3 was taught over Zoom. Student participation has been edited out, so some transitions may feel abrupt and lectures run shorter than live. Free to use for individual or instructional purposes; not for commercial use.

Part I — Estimation

01 Linear Regression
02 More on Linear Regression
03 Basic Inference
04 Endogeneity
05 IV and LATE
06 GMM and EL
07 Panel Data
08 Difference in Differences

Part II — Some Topics

09 Nonparametric Regression
10 Regression Discontinuity Design
11 CART & Random Forests
12 Binary Response
13 LASSO

Part III — Inference

14 HC Covariance Estimation
15 HAC Covariance Estimation
16 Cluster Covariance Estimation
17 The Bootstrap
18 Subsampling and Randomization Tests

Econ 481 — Recorded Lectures

Recorded during Spring 2021, when Econ 481-3 (Topics in Econometrics) was taught over Zoom. Student participation has been edited out. Free to use for individual or instructional purposes; not for commercial use. Lecture notes for this course are incomplete.

Part I — Instrumental Variables 101

01 Selection on Observables
02 Roy Models and LATE
03 Marginal Treatment Effects
04 Extrapolation and Extensions
05 Outcome Tests via MTEs

Part II — Understanding Asymptotic Approximations

06 Local Asymptotics
07 Contiguity
08 Local Asymptotic Normality
09 Convolution Theorems

Part III — Uniformly Valid Inference with Moment Inequalities

10 The Bahadur–Savage Problem
11 Uniformity of the t-test
12 Uniformity of Subsampling
13 Inference in Moment Inequality Models I
14 Inference in Moment Inequality Models II

Part IV — Regression Discontinuity Design

15–18 RDD — not publicly available (student presentations)