Tests for Serial Correlation in Regression Models with Lagged Dependent Variables and Serially Correlated Errors
含滞后因变量和序列相关误差的回归模型中的序列相关检验
The paper compares the power of two tests for serial correlation in regression models with lagged dependent variables, recently suggested by Durbin, with that of the likelihood ratio test by means of two sets of Monte-Carlo experiments-one in which the exogenous series is taken to be the quarterly GNP series for the USA and the other in which the exogenous series is generated by a known autoregression.