# QUANTITATIVE METHODS

 Title ΠΟΣΟΤΙΚΕΣ ΜΕΘΟΔΟΙ / QUANTITATIVE METHODS Code ΜΠΥ4 Faculty Economic and Political Sciences School Economics Cycle / Level 2nd / Postgraduate Teaching Period Winter Coordinator Ioannis Kyritsis Common No Status Active Course ID 600012685

 Academic Year 2017 – 2018 Class Period Winter Faculty Instructors Ioannis Kyritsis 10hrs Nikolaos Thomaidis 9hrs Athanasios Tsadiras 10hrs Persefoni Tsaliki 10hrs Weekly Hours 3 Class ID 600054161
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
Learning Outcomes
1: Frontier estimation & Efficiency Analysis 2:Dynamic Programming 3: Introduction to Discrete Choice Models
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 teams
Course Content (Syllabus)
Part 1: Frontier estimation & Efficiency Analysis Frontiers' estimation (production, cost, profit) - Short introduction to alternative parametric and nonparametric methods - Measurement and estimation of the efficiency of business units - emphasis on Data Envelopment Analysis (DEA) - nonparametric method Part 2:Dynamic Programming Introduction. Basic characteristics of dynamic programming problems. Bellman's optimization principle. Deterministic and stochastic dynamic programming models. Dynamic programming algorithm. Applications. Part 3: Introduction to Discrete Choice Models Introduction. Assumptions, data and stochastic utility. Logit and Probit models for binary choice. Model estimation. Marginal effects, elasticities and economic valuation of choice attributes. Interpretation of model coefficients. Statistical inference, goodness of fit tests, prediction of individual behaviour, model selection, demand and policy analysis. Examples with SPSS, using data from choice experiments.
Keywords
Efficiency Analysis ; Dynamic Programming ; to Discrete Choice Models
Educational Material Types
• Notes
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
Description
Part 1 :Power Point, MS Excel Part 3 :SPSS
Course Organization
Lectures240.8
Laboratory Work120.4
Interactive Teaching in Information Center10.0
Exams30.1
Total1806
Student Assessment
Description
Part 1 :The final grade will be based on the projects. Part 2 :One final written exam (100%) Part 3 :One final written exam (100%)
Student Assessment methods
• Written Exam with Extended Answer Questions (Summative)
• Written Exam with Problem Solving (Summative)
Bibliography