TIME SERIES ANALYSIS

Course Information
TitleΑΝΑΛΥΣΗ ΧΡΟΝΟΣΕΙΡΩΝ / TIME SERIES ANALYSIS
Code12ΥΕ01
FacultySocial and Economic Sciences
SchoolEconomics
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorEmmanouil Trachanas
CommonYes
StatusActive
Course ID100001476

Programme of Study: UPS School of Economics (2013-today)

Registered students: 781
OrientationAttendance TypeSemesterYearECTS
ECONOMICSCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)536
BUSINESS ADMINISTRATIONCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)536

Class Information
Academic Year2024 – 2025
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
600260958
Course Type 2021
General Foundation
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
• The student is acquainted with advanced econometric modelling concepts. • The student learns how to apply high-level statistical tests and more complex techniques for econometric data analysis. • The student receives a good training on the analysis of real economic data through state-of-the-art econometric packages. • The student learns how to analyze and interpret estimation results.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Advance free, creative and causative thinking
Course Content (Syllabus)
• Specialized criteria and tests: Criteria for testing linear restrictions and testing the statistical significance of coefficients, LR, Wald, LM, criteria for testing the stability of the coefficients of a model (CUSUM, CUSUMSQ), specification error tests (RESET test, linearity test), model selection criteria (Akaike, Schwarz, Amemiya), other criteria (Jarque-Bera test) • Nonlinear models: Cobb-Douglas production function • Systems of interdependent stochastic equations: The concept of interdependence, structural and reduced form, system identification, two-stage least squares (2SLS) method, first-order dynamic systems, etc. • Seemingly unrelated regression (SUR) models • Alternative estimation methods: Maximum likelihood (ML) method, Generalized Least Squares (GLS), Restricted Least Squares (RLS), Method of Instrumental Variables (IV) • ARCH and GARCH models • Logit and probit models • Distributed Lag Models (DLM) • Topics from time series analysis: Spurious regression, stationarity, white noise, random walk, unit root tests, cointegration, cointegration tests, VAR models, error correction models (ECM, ECVAR), Granger causality, tests for detecting Granger causality
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures1103.9
Exams582.1
Total1686
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Κάτος, Α. (2004) Οικονομετρία: Θεωρία και Εφαρμογές. Εκδόσεις Ζυγός. Κατρακυλίδης, Κ. και Ταμπάκης, Ν. (2011) Εισαγωγή στην Οικονομετρία: Ασκήσεις. Εκδόσεις Ζυγός.
Last Update
17-09-2025