所有大题（All the big questions）.docVIP

所有大题（All the big questions） 1. Brief description of the relationship between econometrics and economics, statistics and mathematical statistics. Econometrics focuses on quantitative research, statistics is about how to collect, sort out and analyze data, and econometrics is by using the statistical data provided by the economy to estimate the number of relations between economic variables and verified. Mathematical statistics, as a mathematical discipline, can be applied to the economic field and can be applied to other fields. Econometrics is limited to areas of the economy, econometric model, the process of building is the integrated application of theory, the process of statistical and mathematical methods, econometrics is the unification of the economic theory, statistics and mathematics. What are the applications of econometric models? Structural analysis, economic forecasting, policy evaluation, inspection and development of economic theory 3. Briefly describe the main steps to establish and apply econometric models Establishing econometric model according to economic theory; Collection of sample data; Estimation parameters; The examination of the model; The application of econometric models. 4. The test of econometric model starts from several aspects Inspection of economic significance; Inspection of statistical standards; Inspection of econometric standards; Model prediction test 5. How is the data of econometric application classified Four categories: time series data; Cross-sectional data; Mixed data; Virtual variable data. 6. In econometric model, why is there a random error term Random error is an indispensable part of econometric model. The reasons for generating random error items have the following aspects: the error caused by the influence factors that are ignored in the model; Measurement error of variables; Random factors. What is the basic assumption of classical linear regression model The null hypothesis. The mathematical expectation of the ran