Course Description
An applied topics course involving extensive use of computers, requiring the completion of a term project. While topics covered will vary with the instructor's interests, they will normally be drawn from the following: estimation of stochastic linear regression models; distributed lags and time series models; identification and estimation of simultaneous equations; non-linear estimation; maximum likelihood method; pooling cross-sections and time series; limited dependent variable models; and specification issues.
Pre-requisites
ECON 211, ECON 321; (for Mathematics students in place of ECON 211 one of MATH 115, MATH 106/MATH 125, MATH 136, MATH 146 and one of MATH 118, MATH 119, MATH 128, MATH 138, MATH 148 and in place of ECON 321 one of STAT 331, STAT 361)