Testing for Serial Correlation by Variable Addition in Dynamic Models Estimated by Instrumental Variables
通过变量增广检验工具变量估计动态模型中的序列相关
Instrumental variable tests for serial correlation can be carried out by adding lagged residuals from initial estimation to the regressors of the model under scrutiny and then checking their joint significance. It is shown that asymptotically valid tests are obtained if the lagged residuals are also added to the initial instrument set. Monte Carlo evidence suggests that useful improvements in finite sample behavior under null and alternative hypotheses can be produced when…