Background, General Knowledge, Scientific Area, Skill Development

·         will have acquired the basic knowledge to study the validity of the economic theory with the use of Statistics and Mathematics through the estimation and evaluation of economic models

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning

•               Ability to implement theories on the survey of existing economic theories

•               Ability for analysis and Synthesis

2.       Useful distributions  (Normal distribution, , chi square _ distribution, Τ-distribution, F-distribution),

3.       Simple regression (Two variable model) (Economic Theory, Basic assumptions of the linear model Υ = β1 + β2Χ + e, Sample Regression,

4.       The method of ordinary least squares (application to the model: Υ = β1 + β2Χ + e), (Solution with sums, Matrix solution,

5.       Application of regression Variance-Covariance of random error, Attributes of b estimate),

6.       Hypothesis testing (t-ratio of b , The coefficient of determination r2 , Correlation coefficient r, Evaluation of the sub – sample),

7.       General Model Y = β Χ + β Χ +…+ β Χ + e (By the method of matrix-tables) (Presentation of the model Y = b X + b X +…+ b X + e, Appraisers fluctuations – covariance of rates, the coefficient of multiple determination R, Sums squares tabular assessment model, assessment of individual factors, Evaluation of the entire design),

8.       Resolving the three variables model Y = b + b X + b X + e checksum (Solving the three variables model, the coefficient of multiple determination R, the corrected coefficient multiple determination, and Some Simple Coefficient of determination, coefficient of determination Simple, Some factors identification, assessment of the variability of the disturbing term fluctuations b, b,

9.       Testing of Linear restrictions on some coefficients regression, the statistical relationship between F and the coefficient of determination R2,

10.   Violations of Linear Model assumptions (Multi collinearity, Testing the existence of multi collinearity, Estimation methods of models with multi – collinearity

11.   Autocorrelation, Autocorrelation of first order, Consequences of autocorrelation,

12.   Autocorrelation tests (Graphical depict of the residuals, Durbin-Watson Test, t-statistic test, h Durbin criterion), Test for autocorrelation of greater order ( Breusch-Godfrey Test, F-criterion test), Estimation methods of models with autocorrelation,

13.   Heteroscedasticity, Heteroscedasticity tests, (Spearman coefficient of correlation, Goldfeld-Quand criterion, White criterion), Estimation methods of models with heteroscedasticity.

§  e–class

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographic research & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.

Description of the evaluation process

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report, Clinical examination of a patient, Artistic interpretation, Other/Others

Please indicate all relevant information about the course assessment and how students are informed 

Written exams at the end of the semester both on theory and exercises

The answers by the students will be provided by the students through multimedia files.

Each exercise will be graded while the exam contribution will be 100%,

The exam is simultaneous for all the students

The participation in the exams can be done with the use of their institutional account.