Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 10/02/19 | 01:00 PM - 03:00 PM | TC.3.12 |
Thursday | 10/03/19 | 05:00 PM - 07:00 PM | TC.3.12 |
Wednesday | 10/09/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Wednesday | 10/16/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 10/17/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 10/23/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 10/24/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 10/30/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 10/31/19 | 05:00 PM - 07:00 PM | TC.3.12 |
Wednesday | 11/06/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 11/07/19 | 05:00 PM - 07:00 PM | EA.5.044 |
Wednesday | 11/13/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 11/14/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 11/20/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 11/21/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 11/27/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 11/28/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 12/04/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 12/05/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 12/11/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 12/12/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 12/18/19 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 12/19/19 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 01/08/20 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 01/09/20 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 01/15/20 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 01/16/20 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 01/22/20 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 01/23/20 | 05:00 PM - 07:00 PM | TC.3.09 |
Wednesday | 01/29/20 | 01:00 PM - 03:00 PM | TC.3.09 |
Thursday | 01/30/20 | 05:00 PM - 07:00 PM | TC.3.09 |
In this second part of the course, the central focus shifts to research designs for causal inference, model specification, and robustness tests. Discussed techniques include regression discontinuity, matching, instrumental variable models, and experiments. Robustness tests offer one and perhaps the answer to model uncertainty – the uncertainty researchers face which model specification provides the optimal trade-off between simplicity and generality. In multiple dimensions and in a quasi-infinite number of ways in each of these dimensions, a model requires choices to be made – specification choices that, even if well justified, could have plausibly been made differently.
In the second part of the course, students will learn how to use research designs to improve the validity of causal inferences.
The course uses seminar techniques. Increasingly, participants will present own analyses and research ideas.
Students are assessed based on a combination of
- participation in course discussions (30 percent)
- presentations (40 percent)
- essays (30 percent).
The course requires participation in the first part of the seminar.
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