Here’s your roadmap for the semester!
- Readings should be completed before each class session
- Assignments are due by 11:59 PM on the day they are due
- Class materials (slides, in-class activities, etc.) will be added on the day of class
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January 15 |
Evaluation, data science, the causal revolution, and the tidyverse |
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January 22 |
Regression and inference |
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January 22/29 |
Problem set 1 |
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January 29 |
Theories of change and logic models |
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January 29 |
Problem set 2 |
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February 5 |
Measurement and DAGs |
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February 5 |
Evaluation: Background and theory |
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February 12 |
DAGs and potential outcomes |
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February 12 |
Evaluation: Measurement |
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February 19 |
Threats to validity |
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February 19 |
Evaluation: Causal model |
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February 20–26 |
Exam 1 |
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February 26 |
Randomization and matching |
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February 26 |
Evaluation: Threats to validity |
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March 4 |
Difference-in-differences I |
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March 11 |
Problem set 3 |
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March 11 |
Difference-in-differences II |
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March 14 |
Problem set 4 |
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March 25 |
Cancelled because of COVID-19 |
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April 22 |
Problem set 5 |
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April 1 |
Regression discontinuity I & II |
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April 22 |
Problem set 6 |
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April 8 |
Instrumental variables I & II |
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April 22 |
Problem set 7 |
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April 12–April 22 |
Exam 2 |
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April 15 |
Planning and running evaluations + other types of evaluation |
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April 22 |
Ethics and open science |
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April 22 |
Code-through due Cancelled because of COVID-19 |
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April 29 |
Final project due (submit online by 7:00 PM) |
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