Basic Information

Course Code:

ECON 3101

Course Name:

Econometric Analysis I

Language of Instruction:

English

Course Type:

Class

Course Level:

Bachelor

ECTS:

5.00

Instructor:

Dr. Öğr. Üyesi FIRAT YILMAZ

Course Objectives

Simple and multiple regression models, Gauss-Markov theorem, hypothesis testing (t and F tests), confidence intervals, and model specification errors.

Course Objectives

To teach the foundations of the classical linear regression model used to empirically test economic theories. The focus is on the assumptions, estimation, and statistical inferences of the Ordinary Least Squares (OLS) method.

Course Content

Simple and multiple regression models, Gauss-Markov theorem, hypothesis testing (t and F tests), confidence intervals, and model specification errors.

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Wooldridge, J. M. (2019). Introductory Econometrics. Cengage.

Learning Outcomes

Code	Description
LO1	Estimates regression coefficients using the OLS method.
LO2	Explains the assumptions of the classical linear regression model.
LO3	Checks the statistical significance of coefficients with t and F tests.
LO4	Interprets R-squared and adjusted R-squared values.
LO5	Evaluates an empirical result in light of economic theory.

Assessment

#	Assessment Type	Contribution (%)
1	Midterm Exam	%40
2	Final Exam	%60
TOTAL		%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3	LO4	LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
PO-12

1

Low Contribution

2

Medium Contribution

3

High Contribution

Academic Integrity and Artificial Intelligence

AI support in econometric proofs may only be used for conceptual explanation.

Sustainable Development Goals