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Introduction to econometrics.
Targets and goals of econometrics.
Subject of econometrics.
Purpose of econometrics.
Tasks of econometrics.
Basic econometric methods.
Nonlinear regression.
Nonlinear models.
Correlation for nonlinear dependencies.
The need for econometric modeling of the economy.
The importance of econometric modeling and models.
Econometric model, basic econometric methods.
Time series.
Multiplicative and additive models.
The concept of econometric model.
Types and variables in econometric model.
Endogenous and exogenous variables.
Linear and nonlinear econometric models.
Simultaneous equations model.
Concepts of simultaneous equations model.
Types of simultaneous equations model.
Identification problems.
Stages of econometric modeling.
Specification.
Identification.
Verification.
Forecasting.
Multiple econometric model.
Regression relationships.
Least squares method.
Economic analysis coefficients.
Basic concepts of probability theory and mathematical statistics in econometrics.
Variance.
Standard deviation.
Mode.
Median.
Special equation of regression.
Multiple and special correlation.
Multiple econometric model .
Regression relations in multiple econometric model.
Least squares method for multiple econometric model.
Economic analysis coefficients.
Correlation coefficient
Correlation density
Correlation coefficient formula
Average
Mathematical expectation.
Applied econometric models.
Production functions.
Econometric models of supply and demand.
Random variables.
Sets.
Coefficient of variation.
Types of correlation coefficients.
Intervals of values of correlation coefficients.
Weak correlation.
Average correlation.
Dense correlation.
Functional correlation.
Direct and inverse correlations.
Units of measurement of indicators of the econometric models.
Absolute indicators in natural and value terms.
Relative indicators.
Artificial (qualitative) indicators.
The importance of basic statistical concepts in the study of econometrics.
Limit of variation.
Frequency.
Econometric model in the form of a system of equations.
Information support of econometric models.
Statistical nature of economic data.
Selection of related and unrelated variables.
Types of correlation coefficients and their intervals
Sets and their properties
General set, selection, limited, infinite set, set unit.
The importance of econometric modeling in the management of economic processes.
Information support of econometric models.
Statistical nature of economic data.
Selection of related and unrelated variables.
Requirements for economic data involved in the development of econometric models.
Unrelated variables in econometric data.
Dependent variables in econometric data.
82. Number of factors in econometric data.
Data types and types of variables in econometric models (cross-sectional, time series and panel data).
Correlation analysis (correlation, functional and correlation dependence, correlation coefficient, boundaries of the correlation coefficient change).
Econometric model - the basis of econometric modeling (model, economic and mathematical model, econometric model in general).
Basic economic and statistical concepts (arithmetic mean, variance, standard deviation, range)
Introduction to Econometrics. The purpose and objectives of the subject (subject and object of econometrics, goals and objectives of the subject, connection with other subjects).
Mathematical expectation of a random variable (definition and formula for calculating the mathematical expectation of a random variable, mathematical expectation of a discrete and continuous random variable).
Econometric evaluation of the indicative trend and its parameters (trend equation, application, least squares method, system of normal equations).
Additive econometric models and their application (characteristics of additive econometric models, causal factor, regression coefficients).
Models of the structural structure of time series (additive model, multiplicative model, application characteristics of models).
Understanding of trends (trend Content, key views of trends, linear and non-linear trends).
Methods of forecasting (views of the forecast, classification of forecasts, basic methods of forecasting, extrapolation method).
Evaluation of the significance of econometric models using the Durbin-Watson criterion (series residual, autocorrelation, calculated and table values of the criterion).
Additive econometric models and their application (characteristics of additive econometric models, causal factor, regression coefficients).
Autocorrelation in time series (autocorrelation and its content, method of calculation, types and properties of autocorrelation).
Calculation of growth rates in the dynamics of time series (growth rate, additional growth rate, absolute additional growth rate).
The main indicators of dynamics (absolute additional growth of the base, average growth rate, additional growth rate).
Econometric models of the multiplicative type (features of the application of models of the multiplicative econometric, production process, efficiency).
Demand function and its properties (demand equation, application, deviation angle, regression and elasticity coefficients).
The proposition function and its mathematical properties (proposition equation, applicability, deviation angle, coefficients of regression and elasticity).
System of econometric equations (system of equations, appearances of systems of econometric equations, exogenous and end endogenous variables).
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