ECN 301E - Econometrics I

Course Objectives

The objectives of this course consist of the followings.
1. Students will understand the fundamentals of econometric modeling.
2. Students will master the foundations of the linear regression analysis.
3. Students will understand what is meant by causal analysis and limitations to it using
observational data.
4. Extensions of the classical linear regression model will be explored.
5. Potential problems in linear regression analysis such as threats to internal validity and
external validity will be explored.
6. Regression models with binary dependent variables will be explored.

Course Description

This course is a one-semester undergraduate level study of the theory
and practice of econometrics. In this course, we will cover the following topics: (i) probability
and statistics needed for econometrics, (ii) linear regression with single and multiple
regressors, (iii) hypothesis tests and confidence intervals for linear regression models, (iv)
nonlinear regression functions, (v) assessing studies based on multiple regression, and (vi)
regression models with binary dependent variables. We will strike a balance between theory
and application. Upon completion of the course, students will be ready to perform basic
regression analysis and read simple applied work in the literature.