Econometrics
Instructor: Бојан Башкот, PhD, Assistant Professor
Since econometrics represents a systematic way to connect settings of economic theory with learning of real economic problems, the goal of this subject is mastering the econometric methodology through practical examples and continuous use of the software (which covers this area). In addition, the purpose of this subject is also to test hypotheses, predict economic phenomena and help in decision making.
Code : | О14КЕКО |
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Status: | C |
Semestar: | 7th |
Number of classes per week: | 4+3 |
ЕECTS: | 7 |
Teachers: | |
Prerequisites: | Статистика |
Learning Outcomes (gained knowledge): | Econometrics is based on the adaptation of mathematical and statistical methods to the needs of inference in the economics, which enables students to successfully solve specific problems in practice. |
Subject Contents: | Introduction and methodology of econometric research; Simple linear regression models – basic assumptions; Desirable characteristics of ratings; Distribution of ratings obtained by the LSM; Statistical tests of significance; Multiple linear regression model; Testing of significance of parameters and the entire model; Test of linear constraints, additional regressors and stability of ratings; Errors of specifications and their consequences; The recursive systems; Autocorrelation; Heteroscedasticity; Multicollinearity; Artificial variables; Nonlinear models of binary choice; Simultaneous equations. |
Teaching Methods and Learning Activities: | Classes are held through lectures and exercises, according to the above structure of the subject, with the introduction to the computer package EViews. Lectures consist of about 60% of theory (methods, definitions, tests, evidence) and about 40% of illustrative examples. Exercises involve examples and tasks for revising the subject matter, and they are held alternately in the classroom and in the computer lab. |
Literature: | Mladenović, Z., Petrović, P. (2011). Introduction to Econometrics. Belgrade: Faculty of Economics; Mladenović, Z., Nojković, A. (2011). A Collection of Solved Problems in Econometrics. Belgrade: Faculty of Economics; Baltagi, B. H. (2008). Econometric Analysis of Panel Data. John Wiley & Sons; Greene, W. H. (2003). Econometric Analysis. Prentice-Hall International; Jovičić, M., Dragutinović-Mitrović, R. (2011). Econometric Methods and Models. Belgrade: Faculty of Economics. |
Types of Assessment for the subject: | Colloquium I (0-20 points); Colloquium II (0-20 points); Final exam (0-50 points); Attendance (2point); Class activities (seminar papers, discussions, case studies) (0-8 points) |
Special Remarks for the subject: |