|Type of course:
|Language of instruction:
|Erasmus Language of instruction:
|Name of lecturer:
||Marcela Nicoleta Breaz
||Ioan Lucian Popa
|Form of education
|Form of instruction:
||Class / Seminary
|Number of teaching hours per semester:
|Number of teaching hours per week:
|Form of receiving a credit for a course:
|Number of ECTS credits allocated
The course aims to develop skills in econometrics reasoning.
Developing skills for construction and validation of the statistical models is a specific aim of this course.
The final aim is to learn how to use models in prediction of real phenomena coming from economics framework.
Course Entry Requirements:
Statistics CIG222 - recommended but not mandatory
I. Econometrics - quantitative methods in economics
II. Simple linear econometric regression model
III. General linear econometric model
IV. Other econometric models
Instruction is a combination of lectures, seminars and individual work; there are also compulsory assignments. There is 80% attendance requirement for seminars.
• assimilating fundamental knowledge in the field of econometric models, starting with construction of linear simple model up to aspects related to other types of models;
• forming aptitudes needed for the study of possible correlation between two or more phenomena from economics and for application of the statistical inference based techniques that allow the construction, estimation, validation and prediction related to a linear simple or multidimensional model and other classes of econometrics models.
Learning outcomes verification and assessment criteria:
- Final evaluation– written exam or project based on a particular econometric model related to real data (90% of the final grade)
- Continuous assessment:(10% of the final grade)
Basics in econometrics - Theory And Applications, Electronic version in the university library
, Alba Iulia
Calculus For Business, Economics And The Social And Life Sciences, McGraw-Hill Book Company
Practical Business Statistics, 6th Edition,, Elsevier, Academic Press
Essential Statistics, Regression, and Econometrics, 1st Edition, Elsevier, , Academic Press
, , 2011
Mathematics And Statistics For Business, Management And Finance, MacMillan Publishers LTD