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.

This course introduces students to the time series methods and practices which are most relevant to the analysis of economic and financial time Series with focus on applications in macroeconomics, international finance, and finance. We will cover univariate and multivariate models of stationary and nonstationary time series in the time domain. This course prepares you for empirical analysis towards satisfactory progress in your PhD thesis or graduate studies. The emphasis is on modelling skills and practical applications.