Time Schedule:
Saraswata Chaudhuri
ECON 482
Seattle Campus
Applies statistical modeling to empirical work in economics. Focuses on regression analysis; derivations of regression estimators and their properties; and applied computer work in estimating multiple regression models. Prerequisite: 2.0 in ECON 300; either ECON 311/STAT 311 or MATH 390/STAT 390; recommended: MATH 124
Class description
Inference based on Least Squares and Maximum Likelihood.
Student learning goals
Good understanding of techniques of multiple regressions and their interpretations.
Ability to read and understand applied research papers.
Read the entire textbook, Introductory Econometrics by Jeffrey Wooldridge, at least once.
General method of instruction
Recommended preparation
It will be helpful to read Appendix A, B and D from the textbook, Introductory Econometrics by Jeffrey Wooldridge, before the first day of class.
Class assignments and grading
