Applied Econometrics

Course: International Economics

Structural unit: Faculty of Economics

Title
Applied Econometrics
Code
ОК 04
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO8. Choose effective methods for managing economic activity, justify the proposed solutions based on relevant data, scientific and applied research PLO9. Make effective decisions under conditions of uncertainty and challenges that require the use of new approaches, methods, and tools of socio-economic research PLO10. Apply modern information technologies and specialized software in socio-economic research and in the management of socio-economic systems PLO18. Articulate new hypotheses and scientific problems in economics, and propose appropriate approaches and methods to test them
Form of study
Full-time form
Prerequisites and co-requisites
- to know: the basic principles of the functioning of the economy at the micro- and macro-level; basics of mathematics for economists and probability theory; principles of academic integrity; - be able to: calculate economic indicators, process statistical data, analyze; primary information; - have: skills in using MicrosoftOfficeWord, MicrosoftOfficeExcel; Eviews; build simple econometric models.
Course content
The program of the academic discipline consists of the following content modules: Content module 1 "Generalization of the multiple regression model" - generalization of the multiple regression model. The module covers construction and analysis, multiple regression, distributed lag models, and time series econometrics. Content module 2 "Analysis of econometric models" - microeconometrics models and models for panel data. The module examines the estimation and application of discrete and limited dependent variable models and regression models for panel data.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lectures, laboratory sessions, project
Assessment methods and criteria
Checking of independent tasks (Min. - 20 points, Max. - 35 points). 2. Modular control works (Min. - 5 points, Max. - 10 points). 3. Implementation of the project (Min. - 20 points, Max. - 30 points).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Olena Volodymyrivna Bazhenova
Department of Economic Cybernetics
Faculty of Economics
Ganna Oleksiivna Kharlamova
Department of Economic Cybernetics
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Economic Cybernetics
Faculty of Economics
Department of Economic Cybernetics
Faculty of Economics