This course is designed to review theoretical knowledge required to grasp concepts covered in advanced undergraduate and graduate level of labor economics and to study contemporary trends, changes and issues in labour economics, such as wage determination, wage gap, labour mobility/migration, unemployment and employment duration, labour market flexibility and efficiency of the labour market.

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”.

The course is about application of statistical tools, especially regression analysis, for estimating economic relationship sand testing economic hypotheses. Econometrics is the study of relationship among economic variables, primarily through the use of computer-calculated regression equations. This one-semester, Master's-level course is designed to give students a basic introduction to techniques of regression analysis used in economics, business, and finance. Throughout the semester, issues of specification, interpretation, and evaluation of econometric models will be emphasized in the context of hands-on practical exercises and using state-of-the-art computer resources.