Pooling in Dynamic Panel-Data Models: An Application to Forecasting GDP Growth Rates
动态面板模型中的合并估计：GDP增长率预测应用
In this article, we analyze issues of pooling models for a given set of N individual units observed over T periods of time. When the parameters of the models are different but exhibit some similarity, pooling may lead to a reduction of the mean squared error of the estimates and forecasts. We investigate theoretically and through simulations the conditions that lead to improved performance of forecasts based on pooled estimates. We show that the superiority of pooled…