MGMT 204B

Theory and Application of Regression Analysis

Description: Lecture, three hours. Recommended requisite: course 204A. Designed for Ph.D. 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.

Units: 4.0
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Peter Rossi

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