Applied Econometrics

Course: Economics and Economic Policy

Structural unit: Faculty of Economics

Title
Applied Econometrics
Code
ОК 1.1
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 1. Formulate, analyze and synthesize solutions for scientific and practical problems. PLO 2. Develop, substantiate and make effective decisions on the development of socio-economic systems and management of economic entities. PLO 4. Develop socio-economic projects and a system of all-inclusive actions for their implementation, taking into account the goals, expected socio-economic outcomes, risks, legislative, resource, and other constraints. PLO 7. Select effective methods for managing economic activity, ground proposed solutions based on relevant data and scientific and applied research.
Form of study
Full-time form
Prerequisites and co-requisites
For studying the course students should acquire knowledge of «Econometrics», «Mathematics», «Probability Theory and Mathematical Statistics.
Course content
The discipline "Applied Econometrics" is mandatory. The aim of the discipline is to expand students' knowledge in the field of econometric methods, and most importantly - to teach them to use econometric methods and models in specific areas and areas of economic research based on modern statistical and econometric methods and software packages. applied econometrics, widely used in economic theory, management, marketing, finance, business intelligence, etc. The curriculum consists of two content modules: Content module 1. "Analysis and construction of regression models". Content module 2. "Econometrics of time series and microeconometrics".
Recommended or required reading and other learning resources/tools
1. Економетрика: підручник/О.І.Черняк, О.В.Комашко, А.В.Ставицький, О.В. Баженова; за ред. О.І.Черняка. – К.: Видавничо-поліграфічний центр «Київський університет», 2010. – 359с. 2. Wooldridge J.M. Introductory Econometrics: A Modern Approach. 7edition. Cengage Learning, 2019. – 816р. 3. Hill C., Griffiths W.E., Lim G.C. Principles of Econometrics. - 5th edition. - Wiley, 2018. – 918 p. 4. Stock J. H. and Watson M. W. Introduction to Econometrics. 4th edition, Addison-Wesley, 2018 - 800p. 5. Баженова О.В. Навчально-методичний комплекс з курсу «Прикладна економетрика». – К.: Видавництво «Сталь», 2013. – 116с.
Planned learning activities and teaching methods
Information-traditional with elements of problem-oriented learning: lectures, laboratory classes, calculation tasks, control work, independent analytical work
Assessment methods and criteria
The results of students' learning activities are evaluated on a 100-point scale. The discipline includes: calculation tasks, control work, independent analytical work, exam. Evaluation scheme: Forms of student assessment: (max. Points 60 / min. Points 36) 1. Survey and problem solving (RN 1.1-1.5; 2.1-2.2; 4.1-4.2) - 20 points / 12 points; 2. Modular test (2 MCR, 10 points max. Each) (PH 1.1-1.5; 2.1-2.2; 4.1-4.2) - 40 points / 24 points; 3. final assessment in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

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