A86050 Quantitative Methods for Economics, Finance and Management

This course is designed to teach methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics. It purports to show students how to apply econometric techniques in the context of real-world empirical economic and financial problems. It covers most of the tools used in modern econometrics research, e.g. correlation, regression and extensions for time-series methods. During the course extensive use of real data examples is made and students are involved in hands-on computer work.

At the end of the course students will be able to approach relatively complex economic and financial problems involving both time-series and cross-sectional data with the support of appropriate statistical and econometric tools (e.g. descriptive statistic, inferential statistics, regression analysis)

An overview of econometrics. Introduction to simple linear regression. Statistical aspects of regression. Multiple regression. Relaxation of classical assumptions: autocorrelation, heteroskedasticity, stochastic regressors. Introduction to time series analysis.