Optimal HAR inference

• 主要作者: DOU, Liyu
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: heteroskedasticity; autocorrelation; robust inference; maximal persistence; equal-weighted cosine test; Gaussian location model; long-run variance; Student-t adjustment; statistical efficiency; empirical examples; Econometrics; Statistics and Probability
• 在線閱讀: https://ink.library.smu.edu.sg/soe_research/2787; https://ink.library.smu.edu.sg/context/soe_research/article/3786/viewcontent/harinf.pdf

This paper addresses the problem of deriving heteroskedasticity and autocorrelation robust (HAR) inference for a scalar parameter of interest, under the assumption of a known upper bound on data persistence. Finite-sample optimal tests are derived within the Gaussian location model, revealing that r...