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PPOL-512 ADVANCED REGRESSION & PROGRAM EVALUATION METHODS

PPOL-512 ADVANCED REGRESSION & PROGRAM EVALUATION METHODS
Fall only
Faculty:
  • Mitchell, Jean
    • This course is an introduction to advanced, but commonly used, methods of statistical analysis. The emphasis (as in Quantitative Methods I and II) is on applied learning; formal proofs and mathematical rigor are presented but not the principal focus of the course. Instruction will concentrate on how to determine the appropriate econometric approach in addressing various types of policy questions. Topics to be covered will include: Maximum Likelihood Estimation; Limited Dependent Variables (Linear Probability, Logit & Probit Models); Truncated/Censored Dependent Variables (Tobit Models); Panel data; Instrumental Variable methods; and Time-Series analysis.
    Credits: 3
    Prerequisites: None

    Course syllabi
    The following syllabi may help you learn more about this course (login required):
    Fall '09: Bailey, Michael A (file download)
    Additional syllabi may be available in prior academic years.
    Other academic years
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