Analysis And Application Of Panel Data Model

With the increasing complexity of people’s lives and economic activities,and the continuous development of information technology.Compared to traditional cross-sectional data and time series,panel data better reflect the deep meaning of people behind complex behavior and data.The analysis and research on the panel data model has become a new hot spot for scientific research workers.Panel data is data that contains multiple time series sections,so it also contains more real meaning than cross-section data and time series.In this paper,the static model and dynamic model of panel data are studied,and the parameters estimation of each model is discussed emphatically.The unbi-ased estimation of the parameters is obtained by using the appropriate estimation method under different models.The hysteresis is added to the static model,and the dynamic model of the panel data is obtained.The comparison between the two models shows that the estimation method in the static model is not completely applicable to the dynamic model because of the correlation between the lag items and the variables.Then,the unit root test of non-stationary panel data is discussed,and the characteristics and limitations of different test methods are analyzed.We found that the IPS test was more general than the LL test,and the unit root test method at the time of cross-sectional correlation was also studied.And then introduced the panel data cointegration theory and cointegration test,to study the non-stationary panel data provides a method.In the end,this paper chooses the data of agricultural production in nine provinces and cities,analyzes the significant factors influencing the factors of grain production in different regions,and obtains the results of agricultural production in line with our country.The unit consumption of two non-stationary panel data of the residents’ consumption level and fixed assets investment in nine provinces and cities in our country was tested.We find them are first-order single-set panel data,and then they co-integration test,the results show that there is cointegration of the two,that is,there is a long-term balance between them.