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Note: This is the 2024–2025 eCalendar. Current program and course information is now found in the 51³Ô¹ÏÍøCourse Catalogue at .

MGMT 709 Designing for Causal Inference (3 credits)

Offered by: Management (Desautels Faculty of Management)

Administered by: Graduate Studies

Overview

Management : Design-based causal inference. Leveraging design choices, rather than statistical models, to establish causal effects in research. Causal inference in quantitative and qualitative research. Topics include the structure of theoretical arguments, measurement, causal graphs, sampling, and study design (e.g., quasi, natural, and field experiments and case studies).

Terms: Winter 2025

Instructors: Dakhlallah, Diana (Winter)

  • Prerequisites: introductory statistics course

  • Restrictions: Open only to Ph.D. students. Not open to students who have taken MGMT 710 when topic was "Designing Social Science Research for Causal Inference".

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