Course ID: | ECON(MARK) 4750/6750. 3 hours. |
Course Title: | Introduction to Econometrics |
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. |
Oasis Title: | Introduction to Econometrics |
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) |
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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 |