NRE 5220

NRE 5220

Course information provided by the 2026-2027 Catalog.

This sequence of two half-semester courses is designed to introduce students to the key questions and quantitative models and estimation methods commonly used in marketing. During the fall semester, the course is focused on reduced-form estimation approaches. It has two main objectives: (1) to acquaint students with the state-of-the-art reduced-form approaches, and (2) to enable students to build such models to address original research questions. Class will be a combination of lectures, discussion of assigned articles, data analysis, and presentations of research proposals.The spring section of this course is focused on structural models. It will introduce students to a number of classic and emerging structural econometric models that have become prevalent in quantitative marketing research. The course will include dynamic demand-side models, learning models, models with social effects and interactions, dynamic supply-side models, platform and network models, and structural behavioral models.


Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

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Syllabi: none
  •   Seven Week - Second. 

  • 1.5 Credits GradeNoAud

  •  2131 NRE 5220   LEC 001

    • M
    • Oct 14 - Dec 4, 2026
    • Rafieian, O

  • Instruction Mode: In Person

    Enrollment limited to: Doctor of Philosophy (PhD) students.
    Add/Drop Dates: 9:00 am, August 17, 2026 - 11:59 pm, September 8, 2026 with an additional add/drop period 8:00 am, October 14, 2026 - 11:59 pm, October 21, 2026. Students will be required to obtain faculty permission to add/drop after October 21, 2026. If you drop after November 11, 2026, a "W" will be posted on your transcript.