Ekonometria II - przedmiot oferowany w języku angielskim

The course aims to educate creative and logical thinking, precise expression of thoughts, formulating problems, and solving them using econometric tools. Students learn essential issues in econometrics like different types of variables, other regression models, and multiple regression. We will use various techniques for dealing with violations of the regression model’s assumptions during the course, including autocorrelation, heteroscedasticity, specification error, and measurement error. Estimation and verification of economic models will be essential for the cousystemKnowledge of Statistics, and knowledge of Excel is required.

Didactic method: lecture, discussion, practical and activating methods (individual work).

Profile of studies: general academic

Form of studies: full-time

Type of course: compulsory, basic

Field and discipline of science: social sciences, economics, and finance

Year of studies/semester: the year I, semester 1

Prerequisites: knowledge of mathematics issues discussed in the first year of first-cycle studies and statistics.

The number of teaching hours: 15 hours. lectures, 30 hours of exercise

Teaching methods:

Lecture with multimedia presentations and actively engage students to participate in discussions during the lecture.

Classes - problem-solving, econometrical analysis, group discussion, independent work, and work with statistical programs.

ECTS credits: 3

Balance of student workload:

participation in lectures - 15 h;

participation in classes - 30 h;

consultation - 5 h;

preparation for classes - 30 h;

preparation for lectures - 14 hours

preparation for the exam and participation in the exam - 25 hours

Quantitative indicators:

Student workload related to the classes:

requiring the direct participation of the teacher: 50 hours, 2 ECTS

of a practical nature: 60 hours, 2 ECTS

Bibliography:

1. Briand Genevieve, Hill R. Carte, Using Excel for Principles of econometrics,

Fourth edition, New York: John Wiley & Sons, 2011.

2. Brooks Chris, Introductory econometrics for finance,

2nd ed., Cambridge: Cambridge University Press, 2012.

3. Stock James H., Watson Mark W., Introduction to Econometrics,

, Updated 3rd ed. Global ed., Boston [etc.] , 2015.

4. Wooldridge Jeffrey M., Introductory econometrics: a modern approach, 5th ed., Nelson: South-Western Cengage Learning, 2013.

1EC2_W01 Has information on the specification and estimation of the econometric model and the stages of its verification KP7_WG5

1ECW02 Science of the phenomena of 2 quantitative data on economic research and methods and

tools for their analysis and forecasting KP7_WG5

1EC2_U01 Can design (specify, estimate, verify and interpret econometric models and probe them in

economic analyses KP7_UW2

1EC2_U02 Can analyse the cause-and-effect relationships occurring between social categories in the field of economics

KP7_UW4

1EC 1 ECN Can fall on station and two installations from station to electrotechnical station 01

econometric KP7_KK5

The condition for completing the course is achieving the assumed learning outcomes.

Only persons who have passed the exercises with a grade of at least 3.0 can take the exam. The exam is in writing and consists of test questions. The basis for passing the exam is to obtain at least 51% of the maximum number of points. Forgiving the exercises is to get at least 51% of the maximum number of points in the test and project. Points obtained from active participation in classes are also included in the assessment.

Grading scale:

0-50% of points - 2.0

51-60% of points - 3.0

61-70% of points - 3.5

71-80% of points - 4.0

81-90% of points - 4.5

91-100% of points - 5.0