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. Computer exercises will provide experience in using the empirical methods, but no previous computer experience is expected. Previous courses in statistics may prove helpful, but are not necessary. Highly recommended for students considering graduate training in economics or public policy. Students may substitute the combination of Statistics 201 and 346 for Economics 253 or 255. Format: lecture. Requirements: problem sets, two midterms, and group presentations. Prerequisites: Mathematics 105 and Statistics 101 (formerly Mathematics 143) or Statistics 201 or equivalent plus one course in Economics. Enrollment limit: 25 (expected: 20).