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221.651.01 ECONOMETRICS I

Department: International Health
Term: 4th term
Credits: 4 credits
Contact: Antonio Trujillo
Academic Year: 2012 - 2013
Course Instructor:
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 Objective(s):
Upon successfully completing this course, students will be able to:
apply methodological principles and statistical concepts as they relate to the field of health economics
conduct linear regression analysis of observational data in order to reach conclusions relevant for decision-making processes in both national and international settings.
Use the Stata computer software package to conduct solid applied empirical research

Methods of Assessment: • 75 % assignment: 5 numerical problem sets building on the lectures and illustrating key principles using applied international and US examples • 5% Class participation • 20% Final Exam
Location: East Baltimore
Class Times:
  • Tuesday 8:30 - 10:20
  • Thursday 8:30 - 10:20
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

Recommended for this course are 140.623 or 140.653

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
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.