Course Number 1242-3285-01
Course Name Causal Inference Methods and Their Applications
Academic Unit The Coller School of Management -
Technology and Information Systems
Lecturer Dr. Sagit Bar-GillContact
Contact Email:
Office Hours By appointmentBuilding: Recanati - Management , Room: 326
Mode of Instruction Lecture
Semester Units 1
Semester 2023/1
Date Range 11/02/2024 - 22/03/2024
Day Mon
Hours 18:45-21:30
Building Recanati - Management
Room 430
Studies are held during the second part of the semester, Course is taught in English
Syllabus Not Found

Short Course Description

In this course, students will learn causal inference methods, and how to apply these methods in different business contexts, focusing mostly on digital markets. Each topic will be covered first from a theoretical perspective, where students will understand the inference challenge and appropriate methodological approach. We will then work through a hands-on business example, analyzing data and applying the method in R.
Note that the course will focus on causal inference from observational and quasi-experimental data, i.e., not based on ideal experiments. The course thus complements ?Digital Business Experiments? (1242.3272), and students are encouraged to take both courses (in whichever order they like).

Full Syllabus
Course Requirements


Students may be required to submit additional assignments
Full requirements as stated in full syllabus

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook

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