Judy Geyer
Teaching

I am very interested in teaching university courses in microeconomics, econometrics, public economics, and policy analysis. While in graduate school I co-taught a large lecture course with Professor Maria Ferreyra whose instruction style is highly appreciated by her undergraduate students. While learning from her, I also worked to improve my teaching skills by engaging the review and advice of teaching coaches from the Carnegie Mellon Eberly Center for Teaching Excellence Later, I taught a large lecture course as Adjunct Instructor at Tufts University.

In addition to teaching economics courses, I am interested in the current trend of interdisciplinary courses and majors for undergraduates. For example I am eager to reach students of the social sciences, statistics, and computer science with introductory courses on computational modeling in the social sciences. Before I began to focus on economics, I gained research and work experiences in a wide variety of topics including computer science, systems engineering, and epidemiology, in some cases with considerable depth. (See "other" tab on the left.) I plan to draw on this unique set of experiences to reach out to students interested in a more interdisciplinary undergraduate experience.

If you are interested, please contact me to request my Teaching Statement.

  • Regression Analysis for Nutrition Policy, Tufts University, NUTR 307 (Spring 2011, Adjunct Instructor) This course is designed for masters and phd students in the Friedman School of Nutrition. Topics include univariate regression, multivariate regression, the classical regression model, statistical inference, logit models, complex surveys, and the assessment internal and external validity of regression models.

  • Regression Analysis, Carnegie Mellon, Tepper 70-208 (Spring 2007, co-taught with Professor Maria Ferreyra) This course is designed for sophomores in the Tepper Business Administration Program. Topics include univariate regression, multivariate regression, the classical regression model, and statistical inference.

  • PhD Econometrics I, Carnegie Mellon, Tepper 47-811 (Fall 2006, TA for Professor George-Levi Gayle) This course is the first half of the fall semester Econometrics sequence for first year PhD students.
    Here are my personal recommendations for econometrics textbooks for graduate students at Tepper:

    The Summer Before: Peter Kennedy's A Guide to Econometrics

    During the Course: Fumio Hayashi's Econometrics

    To Survive Any Take-Home Exams:Takeshi Amemiya's Advanced Econometrics and the Whitney Newey and Daniel McFadden (1994) Chapter 36 of the Handbook of Econometrics, Volume 4, North Holland.

    Studying for Qualifiers: Jeffrey Wooldridge's Econometric Analysis of Cross Section and Panel Data with some solutions

  • Public Economics, Carnegie Mellon, Tepper 73-352 (Fall 2006 and 2007, TA for Professor Holger Sieg) This course is designed for junior and senior undergraduates who have already taken the introductory micro theory class. Topics include public goods, taxation, political economy, adverse selection, information goods, and others.

  • Making Public Policy in the Real World, Carnegie Mellon, Heinz 90-862 (Fall 2007 and 2008, TA for Mark Roosevelt) This course is for Heinz students pursuing a masters degree. Mark Roosevelt, then superintendent of Pittsburgh Public Schools, emphasized analysis and rhetoric in approaching and framing public debate.

  • Public Finance, Carnegie Mellon University, Heinz 90-736 (Fall 2008, TA for Professor Robert Strauss) This courses introduces masters degree candidates to the rationale and methods of how government finances its activities.