Course Description
Estimation and hypothesis-testing techniques using the linear regression model, with emphasis on the least-squares estimator and its performance under different statistical assumptions. A hands-on approach, stressing a wide range of empirical applications.
Additional Requirements for Graduate Students:
In addition to the regular course requirements, graduate students will have to complete an empirical research project that demonstrates, in an application relevant to their graduate studies, a mastery of the econometric techniques covered in the course.
Athena Title
Introduction to Econometrics
Undergraduate Pre or Corequisite
ECON 4010 and (STAT 2000 or STAT 2000E or MSIT 3000 or MSIT 3000E or MSIT 3000H or BUSN 3000 or BUSN 3000E or BUSN 3000H)
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
This course details how to specify and estimate statistical relationships among economic variables, and how to design and implement tests of hypotheses about (and make predicitons based on) these relationships. The class also covers basic computer programming using the statistical package SAS.
Topical Outline
Introduction Review of Probability and Statistics Simple Linear Regression Model Properties of the Least-Squares Estimator Inference (Interval Estimation and Hypothesis Testing) Prediction Multiple Linear Regression Model Inference and Prediciton Qualitative (Dummy) and Interaction Explanatory Variables Multicollinearity Heteroskadasticity Autocorrelation Qualitative (Dummy) Dependent Variable Simultaneous Regression Equations Advanced Topics
Syllabus