1. 1 Overview of Econometrics
1.2 basis for establishing econometric model
This step
1.3 econometric application software
Introduction to the use of EViews
The second chapter is the univariate linear regression model.
2. 1 Correlation analysis and regression analysis
2.2 the parameters of a linear regression model
Digital estimation
2.3 Unified linear regression model
Instrument test
2.4 Prediction of linear regression model
2.5 Case analysis
Chapter III Multiple Linear Regression Model
3. Overview of1multiple linear regression model
3.2 Parameters of Multivariate Linear Regression Model
Digital estimation
3.3 Multiple linear regression model system
Instrument test
3.4 nonlinear regression model
3.5 Case analysis
The fourth chapter multilinear * * *
4. Overview of1Multiple * * * Linearity
4.2 Multiple * * * linearity test
4.3 Multiple * * * Linear Solutions
4.4 Case analysis
Chapter 5 heteroscedasticity
5. 1 heteroscedasticity overview
5.2 heteroscedasticity test
5.3 heteroscedasticity solution
5.4 Case analysis
Chapter VI Sequence Correlation
6. 1 Overview of sequence correlation
6.2 Sequence correlation test
6.3 Solution of Sequence Correlation
6.4 Case analysis
Chapter 7: Several univariate regression models
special subject
7. 1 dummy variable
7.2 Specification error
7.3 Random explanatory variable model
7.4 Case analysis
Chapter 8 Lagging Variable Model
8. Overview of1lag variable model
8.2 Parameter estimation of distributed lag model
8.3 autoregressive model
8.4 Estimation and test of autoregressive model
8.5 Case analysis
Chapter 9 simultaneous equation model
9. 1 Overview of simultaneous equation model
9.2 Identification of simultaneous equation model
9.3 Estimation of simultaneous equation model
9.4 Case analysis
Chapter 65438 +00 Time Series Model
Basic concepts of 10. 1 time series
Stationarity test of 10.2 time series
10.3 cointegration theory and error correction model
10.4 Granger causality test
10.5 case analysis
Appendix a experimental instruction book
Experiment 1 simple linear regression
Experimental binary linear regression model
And multiple * * * linearity
Experimental heteroscedasticity and autocorrelation
Experiment 4 Virtual Explanatory Variable Regression
Experiment 5 Distributed Lag Model
Estimation of six simultaneous equations in experiments
Experiment 7 Stationarity Test of Time Series
Test and cointegration test
Appendix b statistical table
Table B. 1 standard normal distribution table
Table b.2 Distribution Critical Value Table
Table B.3 Distribution Critical Value Table
Table B.4 F distribution critical value table
Table B.5 DW test upper and lower critical values
Table (upper and lower limits of 5%)
Table b.6 upper and lower critical values of dw test
Table (upper and lower limits are 1%)