Courses Master Display 2019-2020

Course Description To PDF
Course title Time Series Methods and Dynamic Econometrics
Course code EBC4008
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
2 29-10-2019 21-12-2019 X X X
Level Advanced
Coordinator Ines Wilms
For more information: I.Wilms@maastrichtuniversity.nl
Language of instruction English
Goals
The objectives of this course are :
- to provide students with an understanding/intuition of the concepts of modern time series methods that are used in econometrics.
- introduce the student to fundamental methodological issues in dynamic econometric modelling (nonstationarity, nonstandard asymptotic theory).
- to provide students with some experience in analyzing univariate and multivariate time series from economics or business.
Description
The emphasis of this course will be on studying in depth methods and techniques for the analysis of (nonstationary) economic and financial time series. We will cover and discuss issues related to:
- dynamic econometric modelling
- modelling nonstationary processes
- asymptotic theory for dependent and integrated processes
- unit roots (representation, tests, properties), cointegration and VECMs.
Empirical applications as well as simulation experiments will also be considered to provide students with practical experience in analyzing economic and business time series.
Literature
The main textbook used in this course will be:
- Hamilton, J.D. (1994), Time Series Analysis, Princeton University Press, Princeton.
You might also want to consult the following book:
- Davidson J. (2000), Econometric Theory, Blackwell Publishing, Oxford.
The first book is mathematically very concise, while the second book is more narrative of nature.
Students often perceive the two books as complementary.
Prerequisites
- Econometric methods (EBC2111), Stochastic Processes (EBC4004).
- Exchange students need to have a solid background in econometric methods, probability theory, mathematical statistics, and some knowledge in stochastic processes (some familiarity with Brownian Motion theory is important). Exchange students need to have obtained a Bachelor degree and an advanced level in mathematics and probability and statistics.
An advanced level of English.
Teaching methods PBL / Presentation / Lecture / Groupwork
Assessment methods Final Paper / Participation / Written Exam
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research - No specialisation Year 2 Free Elective(s)
Master Business Research - Operations Research Year 1 Elective Course(s)
Master Business Research - Operations Research Year 2 Elective Course(s)
Master Econometrics and Operations Research - Actuarial Sciences Compulsory Course(s)
Master Econometrics and Operations Research - Econometrics Compulsory Course(s)
Master Econometrics and Operations Research - Mathematical Economics Elective Course(s)
Master Econometrics and Operations Research - No specialisation Elective Course(s)
Master Econometrics and Operations Research - Operations Research Elective Course(s)
Master Economic and Financial Research - Econometrics Year 1 Core Course(s)
Master Economic and Financial Research - Econometrics Year 1 Elective Course(s)
Master Economic and Financial Research - No specialisation Year 1 Elective Course(s)
Master Financial Economics - Asset Pricing Elective Course(s)
Master Financial Economics - Banking Elective Course(s)
Master Financial Economics - Financial Analysis Elective Course(s)
Master Financial Economics - No specialisation Elective Course(s)
SBE Exchange Master Master Exchange Courses
SBE Non Degree Courses Master Courses