ECON8823 · Economics

Applied Econometrics

Morrissey College of Arts & Sciences

Numerical ratings

4.7 / 5Course rating

From 2 rating records
Across 1 instructor

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of ECON8823.

Christopher Baum

Professor, Economics Department

2 evaluations for this course

Instructor: 4.6
Course: 4.7

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1 of 1 instructors

Christopher Baum

Professor, Economics Department

2 evaluations for this course

Instructor: 4.6
Course: 4.7

About this course

This course presents a number of econometric estimation techniques relevant for applied research in economics and finance and addresses the computational issues related to their implementation. Topics will be drawn from instrumental variables (IV-GMM) estimation and diagnostics; panel data estimators, including dynamic panel data techniques; reduced-form and structural vector autoregressions; ARFIMA (long memory) models; general linear models; limited dependent variable techniques; structural equation modeling; propensity score matching; state-space and dynamic factor models; simulation and bootstrapping.

All evaluation ratings

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized: 5.00 / 5
ChallengeHow intellectually challenging students found it: 4.83 / 5
AttendanceHow necessary attendance was: 4.83 / 5
AssignmentsHow helpful assignments were: 5.00 / 5

Weekly effort: ~5 hours

Estimated from the original workload response buckets. Individual sections may differ.

Evaluation history Browse all evaluations

Evaluation history 2 terms

All available terms for ECON8823. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Spring 2025	1	5.0	4.5
Spring 2023	1	4.3	4.7