BADM 569 B - Res Topics in Operations Mgt - Res Designs for Causal Infer
Current and classical literature in the area of Operations Management. The topics covered may vary from year to year and may include performance measures, inventory management, planning, scheduling, location, layout, product design, process design, and forecasting. Course Information: 4 graduate hours. No professional credit. May be repeated in the same or separate terms. Prerequisite: Ph.D. standing in BADM or consent of instructor.
This course is designed to equip students with econometric tools for conducting empirical research in operations management and information systems, as well as in other business-related areas. The course will focus on research designs for causal inference in observational studies. A variety of empirical methods can credibly show the correlation between variables, but making a causality argument requires a more conscious inference. In the absence of a randomized experiment, causality cannot be directly observed. Several factors can threaten a valid inference, including reverse causality, unobserved common factors, etc. This course will cover the most commonly used research designs in the literature. We will focus on how each design mitigates the threats to causal inference, as well as the common criticisms of each method. This course will emphasize the application of econometric tools and should not be treated as a replacement for standard econometric training.
Option 1Number of Required Visit(s): 0
Course Level: Graduate