Version 1 Introduction to econometrics. Targets and goals of econometrics

Version 1
1. Introduction to econometrics. Targets and goals of econometrics (subject, purpose of econometrics, tasks of econometrics, basic econometric methods).
2. Nonlinear regression (nonlinear models, correlation for nonlinear dependencies).
3. The need for econometric modeling of the economy (the importance of econometric modeling and models, econometric model, basic econometric methods).
4. Time series (Multiplicative and additive models).
5. The concept of econometric model, types and variables (econometric model, endogenous and exogenous variables, linear and nonlinear econometric models).
6. Simultaneous equations model (concepts, types, identification problems).
7. Stages of econometric modeling (specification, identification, verification, forecasting).
8. Multiple econometric model (regression relationships, least squares method, economic analysis coefficients).
9. Basic concepts of probability theory and mathematical statistics in econometrics (variance, standard deviation, mode, median).
10. Special equation of regression (simple and multiple correlation).
11. Econometric models (the concept of econometric model, its types and variables).
12. Correlation coefficient (correlation density, formula, average, standard deviation, mathematical expectation).
13. Applied econometric models (production functions, econometric models of supply and demand).
14. Basic concepts of probability theory and mathematical statistics in econometrics (random variables, sets, variance, coefficient of variation).
15. Types of correlation coefficients and their intervals of values (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
16. The Coefficient of Determination R² (A measure of “Goodness of Fit”).
17. The importance of basic statistical concepts in econometrics (set, variation, limit of variation, frequency, variance, coefficient of variation).
18. Econometric model in the form of a system of equations (concepts, types, identification problems).
19. Data sources of econometric models (statistical nature of economic data, selection of related and unrelated variables).
20. Types of correlation coefficients and their intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
21. Types of correlation coefficients and change intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
22. Types and classification of econometric models (concept of econometric model, linear and nonlinear model, static and dynamic, stochastic and deterministic, functional and structural model).
23. Simple regression analysis (regression equation, linear, nonlinear, least squares method, system of normal equations, coefficients).
24. Study of types of dependencies in socio-economic processes (correlation link, the word “correlation”, simple correlation, correlation analysis).
25. Econometric models (the concept of econometric model, its types and variables in it).
26. Units of measurement of indicators of the econometric models (absolute indicators in natural and value terms, relative indicators, qualitative indicators).