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.
Syllabus
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.
Examinations
The
assessment will be based on a written final examination.
Reading list
Koop, G.
(2007), Introduction to Econometrics, New York: John Wiley and Sons.