Lectures

Date	Topic	Lecturer
February 19	Basics	Michal Kvasnička
February 26	Causal Diagrams	Michal Kvasnička
March 4	Regression I	Michal Kvasnička
March 11	Regression II	Michal Kvasnička
March 18	Bootstrap and permutation tests	Michal Kvasnička
March 25	Matching	Štěpán Mikula
April 1	READING WEEK/PUBLIC HOLIDAY
April 8	Event Studies	Štěpán Mikula
April 15	Difference-in-Differences (online)	Isha Gupta
April 22	Instrumental Variables	Isha Gupta
April 29	Regression Discontinuity Design	Štěpán Mikula
May 6	Synthetic Control Method	Lukáš Lafférs
May 13	---

Tutorials

Date	Topic	Lecturer
February 20	Basics	Michal Kvasnička
February 27	Causal Diagrams	Michal Kvasnička
March 5	Regression I	Michal Kvasnička
March 12	Regression II	Michal Kvasnička
March 19	Bootstrap and permutation tests	Michal Kvasnička
March 26	Matching	Štěpán Mikula
April 2	READING WEEK/PUBLIC HOLIDAY
April 9	MIDTERM
April 16	Event studies	Štěpán Mikula
April 23	Difference-in-Differences	Štěpán Mikula
April 30	Instrumental Variables	Michal Kvasnička
May 7	Regression Discontinuity Design	Štěpán Mikula
May 14	EXAM

Textbook

The course main (mandatory) textbook is Huntington-Klein, N. (2021). The effect: An introduction to research design and causality. Chapman and Hall/CRC. The book is available online including data and R codes.

We also recommend the following resources:

(Text)books

• Cunningham, S. (2020). Causal Inference: The Mixtape. Yale Press. The book is available online including data and R codes.
  
• Angrist, J. D., & Pischke, J. S. (2008). Mostly harmless econometrics. Princeton university press.
  
• Getler et al. (2016). The textbook is freely available online.
  

Online lectures and other materials

• Martin Halla: Treatment Evaluation 
• Martin Halla: Evaluation of Public Policies
• Benjamin Elsner: Causal inference (videos, slides)
• Nick Huntington-Klein: Causality

Course evaluation

Bl

The final evaluation of the course has two components:

• Active participation in seminars (up to 30 standardized points)
• Written exam (up to 70 standardized points)

The written exam consists of two parts: midterm and final term. There are two ways to pass the exam. If you pass the midterm with more than 20 standardized points (no resits!), you are eligible for the Type I Final Exam. Otherwise, it is necessary to pass Type II Final Exam. You are free to choose Type II Final Exam regardless of the result of the midterm.

Written tests/exams contain open questions. The answer may require you to write a short code in R (on PC).  There are three written tests:

• The midterm contains questions from the first half of the semester (up to 35 standardized points).
• Type I Final Exam contains questions from the second half of the semester (up to 35 standardized points).
• Type II Final Exam contains questions from the whole semester (up to 70 standardized points).

The total number of points used for grading is a sum of points for active participation in seminars and from the written exam. The maximum number of points is therefore 100.

Evaluation

• A: (88; 100]
• B: (81; 88]
• C: (74; 81]
• D: (67; 74]
• E: (60; 67]
• F: [0, 60]