ECONOMETRICS I Syllabus
Course 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 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
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.
Doctoral and master's students interested in quantitative evaluation methods
Methods of Assessment
Grading Policy: • 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
Grading Restrictions: Letter grade
Recommended for this course are 140.623 or 140.653
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: email@example.com, 410-955-3034, or 2017 E. Monument Street.