A note on stable limit theory for the OLSE with non usual rates and the heteroskedasticity robust Wald test

作者：Arvanitis Stelios^*

来源：Communications in Statistics - Theory and Methods, 2018, 47(1): 28-41.

DOI：10.1080/03610926.2017.1300277

• APT model
• asymptotic exactness
• asymptotically locally unbiased test
• consistency
• domain of attraction
• heteroskedasticity robust Wald test
• martingale limit theorem
• martingale transform
• non standard rate
• OLSE
• slow variation
• stable distribution
• subsampling
• truncated moment

We are occupied with an example concerning the limit theory of the ordinary least squares estimator (OLSE) when the innovation process of the regression has the form of a martingale transform the iid part of which lies in the domain of attraction of an -stable distribution, the scaling sequence has a potentially diverging truncated -moment, and the regressor process has a potentially divergent truncated second moment. We obtain matrix rates that reflect the stability parameter as well as the slow variations present in the aforementioned sequences, and stable limits. We also derive asymptotic exactness, consistency, and local asymptotic unbiasedness under appropriate local alternatives for a heteroskedasticity robust Wald test based on subsampling. The results could be useful for inference on the factor loadings in an instance of the APT model.

• 出版日期2018