PUBPOL 569: Applied Regression Analysis | Gerald R. Ford School of Public Policy
PUBPOL 569

PUBPOL 569: Applied Regression Analysis

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Level
Graduate
Term
Fall 2006
Credit Hours
3

This course focuses on what a practitioner needs to know about multiple regression analysis, a key tool for policy analysis. It is an introduction to econometrics that is less mathematical and theoretical than PUBPOL 571. It combines attention to the theoretical underpinnings of regression with attention to applications of regression to policy questions. Students will gain experience in running regressions using STATA. Prerequisite: PUBPOL 529 or equivalent. Students cannot receive credit for both PUBPOL 571 and PUBPOL 569.

John Chamberlin

Faculty Expert

John R. Chamberlin

Professor Emeritus of Public Policy and Political Science
Chamberlin taught Statistics, Applied Regression, Values and Ethics, and Nonprofit Policy and Management at the Ford School. His research interests include ethics and public policy, professional ethics, and election methods.