Bu ders, ekonomi alanı dışındaki alanlarda eğitim alan öğrencilere ekonomi biliminin temel makroekonomik kavram ve teorilerini vermektedir. Bu çerçevede özellikle Milli Gelir tespiti, makroekonomik sorunlar ve politika araçları, enflasyon, işsizlik, para piyasası, dış ticaret, ekonomik büyüme ve kalkınma konularını işleyip analiz etmektedir.

THIS SECTION HOLDS THE DATA AND COMPUTER EXERCISES ACCOMPANYING ECON 503 GRADUATE ECONOMETRICS COURSE
The aim of this course is to provide students with the skills necessary to understand and assess the applications of panel data analysis reported in the Economics literature. In particular, the course covers the different structures of data and the advantages and limitations of panel data. Additionally, static and dynamic models for panel data analysis are presented, with special attention to choosing the most suitable estimator for each model. As a result, the course focuses on the decisions that the researcher should make instead of the algebraic derivation of the models. By using STATA, students will work with various datasets, exploring the panel data methods covered in the lectures. This course is built up on the knowledge acquired in previous econometric courses.

This course is designed to introduce you to recent developments in macroeconomics. Students will learn how to formulate and solve stochastic dynamic economic models and to apply these techniques to a number of substantive issues in consumption, asset pricing, and business cycle theory. The subject will also cover Solow growth model, endogenous growth models, search models of unemployment, real business cycle theories, Mundel-Flemming and Dornbusch models, dynamic models with heterogeneous households and will use these models to analyze a range of issues.

An important part of the course will be concerned with basic tools and concepts of dynamic stochastic economic theory. We will study tools like difference equations, dynamic programming and Markov chains but most importantly we will write simple computer programs to help us solve and understand the properties of economic models that are often too complicated to be worked out “by hand”.