An introduction to the theory and practice of applied quantitative economic analysis. This course familiarizes students with the strengths and weaknesses of the basic empirical methods used by economists to evaluate economic theory against economic data. Emphasizes both the statistical foundations of regression techniques and the practical application of those techniques in empirical research, with a focus on understanding when a causal interpretation is warranted. Computer exercises will provide experience in using the empirical methods, but no previous computer experience is expected. Highly recommended for students considering graduate training in economics or public policy.
Format: lecture; Professor Ozier's fall section will be strictly remote, with both asynchronous and synchronous components. Professor Zimmerman's fall section will be taught in a hybrid format and will include in-person elements. Spring section formats are TBD.
Grading: no pass/fail option,
no fifth course option
problem sets, two exams, group project, and possible additional assignments
MATH 130, plus STAT 161, 201 or 202 (or equivalent), plus one course in ECON; STAT 101 will also serve as a prerequisite, but only if taken prior to the fall of 2018
Current or prospective Economics and Political Economy majors.
Students may substitute the combination of STAT 201 and 346 for ECON 255
Course teaches research tools necessary to analyze data.
EVST Methods Courses
PHLH Statistics Courses
POEC Required Courses