面板数据模型存在三种不同形式，分别为: 混合、固定、随机效应模型。为了

There are three different forms of panel data models, namely: mixed, fixed, and random effects models. In order to establish a model suitable for this study, the model needs to be screened by inspection. Here we choose F test and Hausman test to select the model. In general research, the F test is usually used to determine whether to use a mixed or fixed effect model, and the Hausman test to determine whether to use a fixed or random effect model. The following are model selection tests for A shares and Hong Kong shares:

There are three different forms of panel data model: hybrid, fixed, and random effect model. In order to build a model suitable for this study, the model needs to be screened by test. Here you choose the F-test and Hausman test selection models. In general research, F-test is usually used to judge whether to use a hybrid or fixed effect model, while the Haussmann test is used to judge whether to use a fixed or random effect model. The following is a model selection test for A-shares and Hong Kong stocks:

There are three different forms of panel data model: mixed, fixed and random effect model. In order to establish a suitable model for this study, it is necessary to filter the model by testing. Here, F test and Hausman test are selected to select the model. In general research, F-test is usually used to determine whether to use mixed or fixed effect model, while Hausmann test is used to determine whether to use fixed or random effect model. The following is the model selection test of a shares and Hong Kong shares:<br>