Quantitative Methods for Economics, Finance and Management
Lecturers
MANERA MATTEO
GALEOTTI MARZIO DOMENICO
Aim of the course
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
Introduction. Basic data handling.
Correlation. Introduction to simple regression. Statistical aspects of
regression. Multiple regression. Regression with dummy variables. Regression
with time lags: distributed lag models. Univariate time series analysis.
Regression with time series variables. Applications of time series methods in
macroeconomics and finance.
Examinations
The assessment
will be based on a written final examination.
Reading list
Koop, G.
(2004), Analysis of Economic Data,
2nd ed., Wiley