MGMTPHD 201BTheory and Application of Regression Analysis
Management-PhD · 4 units · Graduate courses (200-299)
Designed for PhD students. Introduction to general regression analysis. Linear model, maximum likelihood and asymptotic tests, endogeneity, instrumental variables, differences-in-differences, regression-discontinuity design, propensity score matching, limited dependent variable models, introduction to panel data.
S/U or letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Recommended requisite: course 201A.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
MGMTPHD 201B
- MGMTPHD 201AProbability, Statistics, and Computational Methods for Econometrics
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MGMTPHD 201B
- MGMTPHD 201CTime-Series Analysis
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.