“What to read for the upcoming lecture?” is a common question I get asked.
Below you will find a number of recommended readings per “topic” rather than per “lecture”. Usually, we will cover a particular topic over a number of lectures, so it best for students to start the readings before the first lecture on that topic, and finish them before the last lecture on that topic. The three topics before the first midterm are the following:
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Foundations of Causal Inference
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Linear Regression
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Instrumental Variables
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Regression Discontinuity
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Panel Data
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