KECD 2110 - ECONOMETRICS 3 : Treatment effects
KECD 2110 · Fall semester 2026-2027
- Language of tuition
- English
- Course type
- Cours magistral
- Number of hours
- 48
- Credits
- 8
Information
Description
Course Objectives:
The course covers my lecture notes, see outline
Useful complementary readings include:
Prerequisites
Prerequisites
Students should have some basic knowledge in cross-sectional econometrics (ordinary least squares, heteroskedasticity, instrumental variables, probit, logit and tobit models).
These concepts and notions are introduced in the probability, statistics and econometrics courses taken in the M1.
Teaching format
Organisation
List of graded problem sets:
PS Week 1, due Tuesday of Week 2
PS Week 2-3, Exercises 3 and 4, due Tuesday of Week 4 PS Week 5, due Tuesday of Week 6
PS Week 7 question 3), due Tuesday of Week 9
PS Week 9, due Tuesday of Week 11
Exams :
In the midterm and final, there will be mathematical exercises requiring students to perform derivations. To get full credit, each step in the derivations should be carefully justified. E.g.: when invoking a theorem to go from one step to the next in a derivation, students should explain why the assumptions under which the theorem holds are satisfied in the situation they are considering.
The midterm exam will take place in week 8. If you miss the midterm exam because you were sick, you will need to provide a signed letter on letterhead from a medical professional as evidence, and there will be no catch-up exam: the weight of the midterm will just be transferred to the final exam.
Catch-up exam :
There is a catchup written exam after the final, for students whose average grade (computed as explained above) is strictly below 10/20. After the catchup exam, students’ grade is recalculated, replacing 0.4*midterm+0.4*final by 0.4*max(midterm,catchup)+0.4*max(final,catchup).
In other words, a good performance in the catchup can offset a poor performance in both the midterm and the final exam.
After this catchup exam, in line with the rules of the school of research, there cannot be a second catchup exam.
The only exception is if a student had to miss the catchup exam due to extreme medical or personal circumstances that will have to be documented within 48 hours after the catchup exam (by a medical report or a report from the relevant authority)."
Assessment
Assessment :
- problem sets (20%),
- a midterm exam (40%),
- and a final exam 40%
Workload
Problem sets
TA sessions will take place from week 2 to 13 of the semester: there will not be a TA session in week 1.
The TA will post one new problem set on the Moodle page of the class almost each week, one week before the problem set is due.
Only 5 of those problem sets will be graded (see list below).
The others will not be graded, though you are strongly encouraged to work on them as well: midterm and final exams tend to be similar to problem sets.
For graded problem sets, it is assumed that study groups will collaborate on problem sets, though each student needs to hand back one problem set, and no problem set should be an identical copy of that of another student.
Graded problem sets are due to the TA
.
Problem sets are graded on a scale from 0 to 2.
Readings
Main readings 3
-
Arellano, Manuel, and Bo Honoré. "Panel data models: some recent developments." Handbook of econometrics. Vol. 5. Elsevier, 2001. 3229-3296.
-
Jeffrey Wooldridge (2001): Econometric Analysis of Cross Section and Panel Data. The M.I.T. Press
-
Joshua D. Angrist & Jörn-Steffen Pischke (2008): Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press
Teaching units
| Unit no. | Unit type | Teaching units | Teachers | Number of hours | Credits |
|---|---|---|---|---|---|
| 10985 | Cours magistral | ECONOMETRICS 3 : Treatment effects | Clément de CHAISEMARTIN | 24 | 8 |
| 10986 | Conférence | ECONOMETRICS 3 : Treatment effects | Viktor VETERINAROV | 24 | 0 |
| 20592 | Conférence | ECONOMETRICS 3 : Treatment effects | Viktor VETERINAROV | 24 | 0 |
Teachers
- Clément de CHAISEMARTIN
- Viktor VETERINAROV
In the curricula
- Master in Economics, Semester 3, Academic Year 2026-2027ÉCOLE DE LA RECHERCHE
Contacts and resources
- Contact
- NEZLIOUI-SERRAZ Hadjila