8
CONTENT
INTRODUCTION
10
1. BASESOFECONOMETRICMODELING
13
1.1. Introduction to econometrics. Goals and objectives of the course
13
1.2.The need for econometric modeling of the economy
20
1.3.The concept, types and variables
in the econometric model
23
1.4. Stages of econometric modeling
27
2. INFORMATION SUPPORT OF ECONOMETRIC MODELS
30
2.1. The statistical
nature of economic data
30
2.2. Selection of dependent and independent variables
32
2.3. Conditions for economic data in the construction of econometric models
34
3. BASIC CONCEPTS OF THE THEORY OF PROBABILITIES AND
MATHEMATICAL STATISTICS IN ECONOMETRICS
38
3.1. Basic concepts of probability theory and mathematical statistics
38
3.2. The population and
its properties
39
3.3. Discrete and continuous random variables
40
3.4. Calculation of characteristics of random variables
41
4. TWO-VARIABLE CORRELATION-REGRESSION ANALYSIS
45
4.1. The study of interrelations
in socio-economic processes
45
4.2. Types of correlation coefficients and methods of their calculation
47
4.3. Linear and nonlinear
regression relationships
50
4.4. The application of the method of least squares in correlation-regression
analysis
55
5. MULTIPLE REGRESSION ANALYSIS
58
5.1.The method of constructing multifactorial econometric models
58
5.2. Linear and nonlinear multifactor regression relationships
60
5.3.The generalized and indirect "least-squares method"
66
5.4.Economic analysis of the parameters of the econometric model and calculation of
the coefficients of elasticity
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