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This course covers empirical strategies for applied micro research questions.
0
3
English
English [CC]
FREE
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Description
Our agenda includes regression and matching, instrumental variables, differences-in-differences, regression discontinuity designs, standard errors, and a module consisting of 8–9 lectures on the analysis of high-dimensional data sets a.k.a. “Big Data”.
Course content
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- Regression Recap Unlimited
- Matching Unlimited
- Instrumental Variables: Constant Effects Unlimited
- Instrumental Variables (Take 2) Unlimited
- Prediction and Confidence Intervals with a Large Number of Covariates (“Big P”) Unlimited
- Analysis with Large Samples Sizes (“Big N”) Unlimited
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- Expectations, Regression, and Controls Unlimited
- Probits, Logits, and 2SLS Unlimited
- LATEs, Differences, and Changes Unlimited
Instructor
Massachusetts Institute of Technology
5
5
1
1916
1520
