ECONOMETRICS I

 Title ΟΙΚΟΝΟΜΕΤΡΙΑ / ECONOMETRICS I Code 12ΥΔ01 Faculty Social and Economic Sciences School Economics Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Konstantinos Katrakylidis Common Yes Status Active Course ID 100001419

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

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425.5

 Academic Year 2016 – 2017 Class Period Winter Faculty Instructors Weekly Hours 4 Class ID 600035314
Course Type 2016-2020
• Background
Course Type 2011-2015
General Foundation
Mode of Delivery
• Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
Learning Outcomes
1. The student is acquainted with basic econometric concepts and techniques both on a theoretical and applied level. 2. The student learns how to specify, estimate and evaluate econometric models. 3. The student becomes familiar with commercial econometric packages. 4. The student learns how to analyze and interpret the results of econometric analysis. 5. The student is able to obtain hands-on experience in econometric modelling through his/her involvement with real datasets.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Work in an international context
• Work in an interdisciplinary team
• Generate new research ideas
• Design and manage projects
Course Content (Syllabus)
Definition, general purpose and stages of econometric analysis. Basic concepts of mathematics and statistics used in econometrics. The bivariate and multivariate model. The regression line. The ordinary least squares method (OLS). Basic properties. Analysis of covariance, coefficients of determination and elasticity. Statistical (t and F) tests in multivariate models. Forecasting with regression models. Coefficients’ stability tests. Special-form explanatory variables (time trends and dummies). Diagnostic tests in econometric models. Multicollinearity, Heteroskedasticity and Autocorrelation (consequences for the validity of OLS estimates and standard errors, detection tests and methods of dealing with).
Educational Material Types
• Notes
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Description
Econometrics I aims at teaching the basic concepts and practices of econometric modelling. Through the blending of theory and practice, the student is acquainted with popular statistical and mathematical techniques used in the quantitative analysis and interpretation of economic phenomena.
Course Organization
Lectures1304.6
Laboratory Work240.9
Exams20.1
Total1565.6
Student Assessment
Student Assessment methods
• Written Exam with Multiple Choice Questions (Summative)
• Written Exam with Problem Solving (Summative)
• Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
1) Α. Κάτος:ΟΙΚΟΝΟΜΕΤΡΙΑ-ΘΕΩΡΙΑ ΚΑΙ ΕΦΑΡΜΟΓΕΣ, ΕΚΔΟΣΕΙΣ ΖΥΓΟΣ 2) Κ. ΚΑΤΡΑΚΥΛΙΔΗΣ & Ν. ΤΑΜΠΑΚΗΣ, ΕΙΣΑΓΩΓΗ ΣΤΗΝ ΟΙΚΟΝΟΜΕΤΡΙΑ-ΑΣΚΗΣΕΙΣ, ΕΚΔΟΣΕΙΣ ΖΥΓΟΣ