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HU Credits:
2
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Economics
Semester:
1st Semester
Teaching Languages:
English
Campus:
Mt. Scopus
Course/Module Coordinator:
Naomi Feldman
Coordinator Office Hours:
As needed
Teaching Staff:
Prof. Naomi Feldman
Course/Module description:
This course introduces modern applied econometric methods used in policy evaluation. Topics include
randomized trials, regression, differences-in-differences, instrumental variables, and regression discontinuity
designs.
Course/Module aims:
Students will use R or Stata to approach empirical problems and answer causal research questions.
Learning outcomes - On successful completion of this module, students should be able to:
Read economics articles and evaluate the outcomes. Understand how to design a research project to study the treatment effect of government (or other) policy.
Attendance requirements(%):
5%
Teaching arrangement and method of instruction:
frontal lessons, homework and take home quiz
Course/Module Content:
Randomization and Random Control Trials (RCTs)
2. Brief refresher on regression (if needed)
3. Matching and subclassification
4. Fixed Effects
5. Difference-in-Differences, Event studies
6. Synthetic control
7. Regression Discontinuity
8. Instrumental Variables (pending time)
Required Reading:
Angrist, J. D., & Pischke, J. P. (2014). Mastering Metrics: The Path from Cause to Effect. Princeton
University Press. (Highly recommended)
Cunningham, S. (2021). Causal Inference. Yale University Press.
Huntington-Klein, N. (2021). The Effect: An Introduction to Research Design and Causality. Chapman
and Hall.
Imai, K. (2018). Quantitative Social Science: An Introduction. Princeton University Press.
Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy Online Controlled Experiments: A Practical Guide to
A/B Testing. Cambridge University Press.
Additional Reading Material:
Economics papers
Grading Scheme :
Essay / Project / Final Assignment / Referat 45 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 50 %
Attendance / Participation in Field Excursion 5 %
Additional information:
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