Laboratory
Number of hours:  2h X 10 weeks = 20 hours (1 semester)

Objective: 
The course introduces students to simple and multiple regression methods for analyzing cross sectional and time series data in economics and related disciplines. The central focus will be on proper model choice, model assumptions discussion and their relation to specific economic environment. The mathematics of econometrics will be on elementary level and introduced only as needed. The course makes use of the GRETL statistical package. You will learn the basics of data manipulation and regression data analysis.

Assessment: 
Written examination.

Prerequisites: 
Introductory statistics and calculus.

Contents: 
The course introduces students to simple and multiple regression methods for analyzing cross sectional and time series data in economics and related disciplines. The central focus will be on proper model choice, model assumptions discussion and their relation to specific economic environment.

Lectures
1. Part One: Introduction.
2. Part Two: Fundamentals of Financial Markets.
3. Part Three: Fundamentals of Financial Institutions.
4. Part Four: Central Banking and the Conduct of Monetary Policy.
5. Part Five: Financial Markets.
6. Part Six: The Financial Institutions Industry.
7. Part Seven: The Management of Financial Institutions.Recommended reading: 

• Wooldridge, J. Introductory Econometrics a Modern Approach.
• Thomson 2006. Lind, D. and Mason, R. Basic Statistics for Business and Economics. McGraw-Hill, 2006.
• Michael R. Baye, Managerial Economics and Business Strategy, McGraw-Hill. 2009.