Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

EC 823A Applied Econometrics I

Semester:
Spring of every year
Credits:
Total Credits: Credits: 1.5   Lecture/Recitation/Discussion Hours:1.5
Prerequisite:
EC 820A and EC 820B
Restrictions:
Open to graduate students in the Department of Economics or approval of department.
Not open to students with credit in:
EC 823
Description:
Applying formal econometrics to data focusing on estimation of treatment effects and applying to topics in applied research. Covers theory and emphasizes implementation. Topics may include linear regression based methods, nonlinear regression adjustment, and propensity score methods. Offered half of semester.
Effective Dates:
FS25 - Open

EC 823B Applied Econometrics II

Semester:
Spring of every year
Credits:
Total Credits: Credits: 1.5   Lecture/Recitation/Discussion Hours:1.5
Prerequisite:
EC 820A or EC 820B
Restrictions:
Open to graduate students in the Department of Economics or approval of department.
Not open to students with credit in:
EC 823
Description:
Applying formal econometrics to data with focusing on estimation of treatment effects and applying to topics in applied research. Covers theory and emphasizes implementation. Topics may include instrumental variables, regression discontinuity, difference-in-differences, synthetic control, semi-parametric, and non-parametric methods. Offered half of semester.
Effective Dates:
FS25 - Open

EC 823C Applied Econometrics III

Semester:
Fall of even years
Credits:
Total Credits: Credits: 1.5   Lecture/Recitation/Discussion Hours:1.5
Prerequisite:
EC 820A or EC 820B
Restrictions:
Open to graduate students in the Department of Economics or approval of department.
Description:
Applying formal econometrics to data focusing on estimation of structural models derived from economic theory. Covers theory and emphasizes implementation. Topics may include maximum likelihood estimation, discrete-choice models, and demand estimation. Offered half of semester.
Effective Dates:
FS25 - Open