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.
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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.

- 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)

N. Breaz, Basics in econometrics - Theory And Applications, Electronic version in the university library , Alba Iulia , 2019 , -
L.D., Hoffmann, Calculus For Business, Economics And The Social And Life Sciences, McGraw-Hill Book Company , - , 1986 , -
A. Siegel, Practical Business Statistics, 6th Edition,, Elsevier, Academic Press , - , 2011 , -
G. Smith, Essential Statistics, Regression, and Econometrics, 1st Edition, Elsevier, , Academic Press , - , , 2011 , -
L. Swift, Mathematics And Statistics For Business, Management And Finance, MacMillan Publishers LTD , Hampshire , 1997 , -