The Use of Variance Components Models in Pooling Cross Section and Time Series Data
合并横截面与时间序列数据中的方差分量模型
The paper argues that variance components models are very useful in pooling cross section and time series data because they enable us to extract some information about the regression parameters from the between group and between time-period variation-a source that is often completely eliminated in the commonly used dummy variable techniques. The paper studies the applicability and usefulness of the maximum likelihood method and analysis of covariance techniques in the…