# ECONOMETRICS I

 Title ΟΙΚΟΝΟΜΕΤΡΙΑ Ι / ECONOMETRICS I Code 03ΥΓ04 Faculty Social and Economic Sciences School Economics Cycle / Level 1st / Undergraduate Teaching Period Winter Coordinator Konstantinos Katrakylidis Common No Status Active Course ID 100000856

 Academic Year 2022 – 2023 Class Period Winter Faculty Instructors Weekly Hours 4 Class ID 600223014
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
1. The student comes in touch with the basin concepts and techniques in theoretical and applied level. 2. The student comes aquires the ability to specificy, to estimate and evaluate econometric models. 3. The student can use econometric softwares. 4. The student knows how to analyse and interpret the econometric results. 5. The student is able to apply the aquired skills on real data.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work in an international context
• Work in an interdisciplinary team
• Generate new research ideas
• Design and manage projects
Course Content (Syllabus)
Definition, purpose and stages of econometric analysis. Basic concepts of mathematics and statistics used in econometrics. The bivariate model. The regression line. The ordinary least squares method (OLS). The multivariate model. Statistical tests in univariate models. Coefficient of determination and other criteria. Explanatory variables of special form. Analysis of covariance. Coefficients’ stability tests. Alternative methods of estimation and specialized tests. The maximum likelihood method and the repetitive method of least square. The BLUS residuals of Theil. The generalized method of least squares and the method of major componenets. Criteria for specialized tests. The likelihood ratio criterion, the Wald criterion, the Lagrange multiplier criterion, the Jarque-Bera criterion, Hansen criterion, CUSUM and CUSUMQ criteria. Tests for special choices. The simplified form of the Cox-Box criterion. The Bera-McAleer criterion. The MacKinnon-White-Davidson criterion. Regression Residual Tests. Repetitive residuals tests. Test using the statistic d of Durbin-Watson. RESET test of Ramsey. Lagrange multiplier tests. The Hausman test. The Plosser-Schwert-White test. Linearity test. Other model selection criteria. The Akaike, Amemiya and Schwartz criteria. Nested and non-nested models. Tests for non-nested models. Tests using F statistic. The Davidson-MacKinnon J test. Discussion of selected economic subjects.
Educational Material Types
• Notes
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Course Organization
Lectures52
Laboratory Work20
Project
Total72
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) Κ. Κατρακυλίδης, Γ. Κοντέος Γεώργιος, Ν. Σαριαννίδης, (2019), Σύγχρονη Οικονομετρική Ανάλυση, εκδ. ΑΛΕΞΑΝΔΡΟΣ Σ. Ι.Κ.Ε, [86200122] 2) Κ. ΚΑΤΡΑΚΥΛΙΔΗΣ & Ν. ΤΑΜΠΑΚΗΣ, ΕΙΣΑΓΩΓΗ ΣΤΗΝ ΟΙΚΟΝΟΜΕΤΡΙΑ-ΑΣΚΗΣΕΙΣ, ΕΚΔΟΣΕΙΣ ΖΥΓΟΣ [8016]