Engagement Type:
Service Learning
Activity Type:
None
Start Semester: Fall
Total UNO Students: 11
Start Academic Year: 2022-23
UNO Student Hours: 179
End Semester:
Total K-12 Students: 0
End Academic Year:
None
K-12 Student Hours: 0
Total Number of Other Participants:
0
Topics:
Description :
Econometrics is routinely taught as an application class using a 'black box' like Stata or SAS to perform calculations. This class takes a different approach. Using the Python programming language, we build all estimators from scratch. Additionally, we introduce numerous non-parametric and simulation techniques. This approach to econometrics results in a stronger understanding of statistical assumptions and methods, a better understanding of when a method is appropriate, and stronger programming techniques. Furthermore, a deeper understanding of the underlying mechanics provides the student the ability to program custom procedures not already built into popular software packages. As part of the course, students will work with a community partner to answer a real question with data; MBA students should consult with their advisor about this course satisfying the project-focused capstone requirement.
ECON 8330.001