STATISTICAL METHODS IN ECONOMICS

ECON504

Course Code: ECON504
Semester: Second Term (Spring)
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Compulsory Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

Second Term (Spring)

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Learn the theory and economic applications of statistical topics such as probability, random variables and their probability distributions, point estimation, interval estimation and hypothesis testing which form the basis for econometric methods.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

In this course, the underlying theories of statistical concepts, which are the basis of econometrics, are discussed.

Course Contents

WEEK	TOPICS
1^st Week	Probability
2^nd Week	Probability Cont., Definitions of Discrete and Continuous Random Variables and Their Probability Distributions
3^rd Week	Definitions of Discrete and Continuous Random Variables and Their Probability Distributions Cont.
4^th Week	Mathematical Expectation
5^th Week	Mathematical Expectation Cont.
6^th Week	Moments
7^th Week	Special Discrete and Continuous Probability Distributions
8^th Week	Mid-Term
9^th Week	Sampling Distributions
10^th Week	Point Estimation
11^th Week	Point Estimation Cont.
12^th Week	Interval Estimation
13^th Week	Hypothesis Testing
14^th Week	Hypothesis Testing Cont.

Recommended or Required Reading

Miller, I., Miller, M. (2014). John E. Freund?s Mathematical Statistics with Applications, 8/E Pearson.

Newbold, P., Carlson, W., Thorne, B. (2013) Statistics for Business and Economics, 8/E Pearson.

Erdem, İsmail. (2017) Matematiksel İstatistik Problemler ve Çözümleri. Seçkin Yayıncılık. 3. Baskı.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Problem Solving

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	40
Assignment	1	10
Total(%)		50
Contribution of In-term Studies to Overall Grade(%)		50
Contribution of Final Examination to Overall Grade(%)		50
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	5	70
Preparation for Final exam	1	70	70
Course hours	14	3	42
Preparation for Midterm exam	1	60	60
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	55	55
Total Work Load			301
Total Work Load / 30 (h)			10.03
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1
K1	X
K2
K3
K4
K5	X
K6	X
K7	X
K8	X
K9
K10