We take a new perspective on identification in structural dynamic models: rather than imposing restrictions, we optimize an objective. This provides new theoretical insights into traditional Cholesky identification. A correlation-maximizing objective yields an Order- and Scale-Invariant Identification Scheme (OASIS) that selects the orthogonal rotation that best aligns structural shocks with their reduced-form innovations. We revisit a large number of SVAR studies and find, across 22 published SVARs, that the correlations between structural and reduced-form shocks are generally high.
翻译:我们对结构动态模型中的识别问题提出了新的视角:不再施加限制,而是优化一个目标函数。这为传统的Cholesky识别方法提供了新的理论洞见。通过最大化相关性的目标函数,我们得到了一种顺序与尺度不变的识别方案(OASIS),该方案选择能使结构冲击与其简化形式创新最佳对齐的正交旋转。我们重新审视了大量SVAR研究,发现在22个已发表的SVAR模型中,结构冲击与简化形式冲击之间的相关性普遍较高。