Interdisciplinary PhD in Economics and Statistics
Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements must not unreasonably impact performance or progress in a student’s primary degree program.
The Economics program allows students to replace required courses in Probability and Statistics with more advanced courses by petition.
Special note about integrating IDPS requirements and Economics requirements:
The Doctoral Program in Economics requires students to complete two majors and two minors. IDPS requires one of these major fields to be Econometrics. The IDPS requirement for Computation & Statistics may be used to satisfy one of the minor field requirements in the Doctoral Program in Economics as long as the student’s other minor field is in Economics, and is not a research or ad-hoc minor.
IDPS/Economics Chair: Victor Chernozhukov
Seminar | |
IDS.190 | Doctoral Seminar in Statistics |
Probability (pick one) | |
6.436 | Fundamentals of Probability |
18.175 | Theory of Probability |
Statistics | |
18.655 | Mathematical Statistics |
18.6501 | Fundamentals of Statistics |
IDS.160 | Mathematical Statistics – a Non-Asymptotic Approach |
Computation & Statistics (pick one) | |
9.520/6.860 | Statistical Learning Theory and Applications |
6.867 | Machine Learning |
Or a more advanced subject by petition. | |
Data Analysis (pick one) | |
14.192 | Econometrics Paper*
and one of the following courses: |
14.387 | Applied Econometrics |
14.386 | New Econometric Methods |
*The new Econometrics Paper – 14.192 – no longer requires a focus on Data Analysis. Students pursuing the IDPS will need to keep this focus on Data Analysis in their paper to successfully meet IDPS requirements. The IDPS/Economics Chair will verify that admitted students submit an Economentrics Paper that satisfies the IDPS requirements.