This page contains all of the following resources for each class meeting:
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Content materials contains suggested readings, more details about assignments, math appendices, and other helpful resources. I suggest you view these before each class.
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Slides are “Quarto” html presentations that can be opened in any browser (You can find a downloadable PDF on content pages)
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R materials contain extra tutorials, videos, practice exercises for using
R
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Assignments are listed with due dates
Please note that the lesson numbers, topics, and titles (e.g. 1.1) are my design, and do not match up with the textbook!
Relevant materials, if applicable will be posted before class meets and become colored links.
I. Data Analysis in R
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Content
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Slides
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R
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Assignment
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Preliminary Survey
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Mon Aug 22
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1.1 — Introduction to Econometrics
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Wed Aug 24
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1.2 — Meet R
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Wed Aug 31
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1.3 — Data Visualization
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Wed Sep 07
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1.4 — Data Wrangling
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Mon Sep 12
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1.5 — Optimize Workflow
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Problem Set 1 due Fri Sep 23
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II. Linear Regression
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Title
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Content
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Slides
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R
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Assignment
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Wed Sep 14
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2.1 — Data and Descriptive Statistics
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Mon Sep 19
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2.2 — Random Variables and Distributions
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Problem Set 2 due Fri Sep 30
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Wed Sep 21
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2.3 — Simple Linear Regression
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Mon Sep 26
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2.4 — Goodness of Fit and Bias
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Wed Sep 28
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2.5 — Precision and Diagnostics
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Mon Oct 03
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2.6 — Inference for Regression
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Wed Oct 05
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2.7 — Hypothesis Testing for Regression
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Problem Set 3 due Fri Oct 14
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Mon Oct 17
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Midterm Exam
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III. Causal Inference
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Title
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Content
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Slides
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R
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Assignment
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Wed Oct 19
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3.1 — The Fundamental Problem of Causal Inference
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Mon Oct 24
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3.2 — DAGs
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Wed Oct 26
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3.3 — Omitted Variable Bias
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IV. Multivariate Linear Regression
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Title
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Content
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Slides
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R
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Assignment
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Mon Oct 31
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4.1 — Multivariate OLS Estimators: Bias, Precision, and Fit
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Problem Set 4 due Fri Nov 11
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Wed Nov 02
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4.2 — Writing an Empirical Paper
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Mon Nov 07
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4.3 — Categorical Data & Interactions
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Mon Nov 14
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4.4 — Nonlinearities & Variable Transformations
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Problem Set 5 due Mon Nov 28
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V. Advanced Research Designs
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Title
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Content
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Slides
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R
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Assignment
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Mon Nov 21
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5.1 — Panel Data and Fixed Effects Models
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Mon Nov 28
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5.2 — Difference-in-Differences Models
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Wed Nov 30
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5.3 — Instrumental Variables Models
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Problem Set 6 (ungraded practice)
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Research Paper
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Fri Dec 09
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Final Exam
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