Infopaket

Applied Econometrics

1.04

Обов’язкова дисципліна для ОП

Second

2023/2024

2 Semester

4

PRN8. Collect, process and analyze statistical data, scientific and analytical materials, necessary for the solution of complex economic tasks. PRN9. Make effective decisions for uncertain conditions and requirements that require application of new approaches, methods and socio-economic tools of research PRN10. Apply modern information technologies and specialized software social and economic provision research and management socioeconomic systems

- 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.

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.

1. Kumar K. N. R. ECONOMETRICS. CRC Press. 2020. – 926 p. 2. Stock J.H., Watson M.W. Introduction to Econometrics. FOURTH EDITION. GLOBAL EDITION. Pearson Education Limited 2020. - 801 p. 3. Green V.G. Econometric analysis: Textbook / Anatolii Oliynyk (trans. Eng.), Ruslan Tkachuk (trans. Eng.). K.: Publishing House of Solomia Pavlychko "Osnovy", 2005. – 1197p. 4. Chernyak O.I. Workshop on econometrics: teacher. study guide economy special higher education institutions / O.I. Chernyak, G.O. Kharlamova, N.V. Slushenko; Kyiv. national University named after T. Shevchenko. K.: Kyiv University, 2013. – 183 p.

Lectures, laboratory sessions, project

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).

Ukrainian