Econometrics as a new discipline, think of course by more people who want to study abroad, emerging disciplines will have corresponding advantages points as well as corresponding difficulties, as for how to write a good econometrics paper, can be based on the following points way.
Step1: Determine the model of the economic problem you need to solve
Simply put, econometrics is the use of statistical methods (quantitative analysis) to deal with economic data for some purpose, this purpose is usually the following: to estimate the relationship between various economic variables, to test economic theories and hypotheses, to predict economic variables, to evaluate and apply government or business policies, you can analyze the results of previous research on similar issues through relevant mathematical model cases, according to your Analyze the relationships between variables and build equations based on the economic theories you have learned.
Step2: Establishing econometric and economic models (functional relationships)
For example Becker's econometric model on crime duration established in 1968 is widely popular in the industry as a classic econometric model.
Step3: Collecting a large amount of actual econometric data
The so-called actual, that is, these data are generated by real events, rather than obtained by experiments, Non-experimental data, and there are different classifications of data types, and the econometric analysis methods applied to different types of data are different.
Step4：Processing econometric models by statistical methods
that is, the large amount of data collected is brought into the established econometric model to solve the value of each coefficient, which explains why it is a large amount of data is needed, one is to avoid chance, and the other is to increase the possibility of solving the coefficient. 代写
Step5: Verify the relationship of variables in the theoretical model
Check the data, do regression analysis, and do econometric tests (autocorrelation, heteroskedasticity, multicollinearity), if there is to correct, how to correct the book is written very clear; smooth time series or cointegration test passed the direct regression. If the joint cubic model, first ensures the identification of the model and then uses two least squares to estimate the model parameters.
