PPOL-509 REGRESSION METHODS FOR POLICY ANALYSIS (QUANT II)

PPOL-509 REGRESSION METHODS FOR POLICY ANALYSIS (QUANT II)

Spring only

Faculty:

Habyarimana, James

This course builds on the material covered in Quantitative Methods I to further develop an understanding of the motivations for and applications of statistical techniques. Students learn the assumptions underlying ordinary least squares (OLS) regression models, and the consequences of violating those assumptions. By the end of the semester students should be able to: (1) conceptually understand the econometric methods covered in the course and know how they can be applied to analyze a variety of public policy issues; (2) interpret the results of multivariate linear regressions and think critically about the potential problems that arise when trying to draw conclusions from such results; (3) use a statistical package (SAS) to conduct basic statistical analyses. PREREQUISITE -- QUANTITATIVE METHODS I OR EQUIVALENT

Credits: 3

Prerequisites: None

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