221.659.01
Econometrics II
Location
East Baltimore
Term
4th Term
Department
International Health
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
In-person
M, W, 8:30 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
221.651
Introduces newer topics in time series and panel data analysis as well as methods for forecasting and prediction with applications to global health
Builds upon the statistical methods introduced in Econometrics I. Expands upon linear regression and causal inference models to account for non-random treatment assignment, selection bias, structural estimation, and nonparametric estimation. Expands the econometric toolkit built in Econometrics I, which focused primarily on econometric methods for estimation, to applications involving time series data, forecasting, and econometric methods for prediction. Aims to improve students’ ability to conduct economic analysis using observational data. Relies on exercises designed to provide hands-on experience in structuring, coding, and interpreting econometric models with applications to global public health. Employs tools and methods and compares the results to those obtained from initial estimations based on very restricted assumptions.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Apply methodological principles and statistical concepts as they relate to the field of economics with applications to global public health.
- Conduct regression analyses of observational data with non-random treatment assignment through models accounting for selection bias, synthetic control, and time series to conclusions relevant for decision-making processes in both national and internationally
- Conduct and validate empirical models for forecasting and prediction
- Use the Stata computer software package to conduct applied empirical research
Methods of Assessment
This course is evaluated as follows:
- 10% Participation
- 70% Assignments
- 20% Group Project(s)
Enrollment Restriction
MHS Global Health Economics, MSPH Health Systems, PhD Health Systems