221.651.01
Econometrics I

Location
East Baltimore
Term
3rd Term
Department
International Health
Credit(s)
4
Academic Year
2024 - 2025
Instruction Method
In-person
Class Time(s)
Tu, Th, 8:30 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Antonio Trujillo
Contact Name
Antonio Trujillo
Frequency Schedule
Every Year
Prerequisite

140.622 or 140.652

Description
Introduces students to the application of basic statistical methods to economic analyses. They use econometrics to support or reject theories from economics using empirical observation. Students cover the basic concepts behind linear regression models by studying cases where the dependent variable is continuous and is a linear function of the parameters of interest. Improves students’ ability to conduct economic analysis using observational data, as economic studies rarely benefit from the availability of controlled experiments. Exercises provide hands-on experience in implementing well-crafted empirical analysis. Students learn to employ tools and methods and compare the results with respect to those obtained from initial estimations based on very restricted assumptions.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Use statistics and econometric methods (including statistical inferences, regression methods, and applied econometric methods) to solve public health problems
  2. Conduct linear regression analysis of observational data in order to reach conclusions relevant for decision-making processes in both national and international settings
  3. Use the STATA computer software package to conduct solid applied empirical research
Methods of Assessment
This course is evaluated as follows:
  • 60% Assignments
  • 40% Final Exam
Instructor Consent
No consent required
Special Comments

Each week, the first section we will cover the conceptual foundation and in the second session students will apply the concepts using a specific dataset. Students will be asked to bring their laptop to the class.
Personal laptops preloaded with Stata are required for use during class.