Limit Theory for Moderate Deviations from a Unit Root Under Innovations with a Possibly Infinite Variance
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DOI: 10.1007/s11009-012-9306-7
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Cited by:
- Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
- Pang, Tianxiao & Tai-Leung Chong, Terence & Zhang, Danna & Liang, Yanling, 2018.
"Structural Change In Nonstationary Ar(1) Models,"
Econometric Theory, Cambridge University Press, vol. 34(5), pages 985-1017, October.
- Chong, Terence Tai Leung & Pang, Tianxiao & Zhang, Danna & Liang, Yanling, 2017. "Structural change in non-stationary AR(1) models," MPRA Paper 80510, University Library of Munich, Germany.
- Bingqi Liu & Tianxiao Pang, 2024. "Weighted composite quantile inference for nearly nonstationary autoregressive models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(5), pages 1337-1379, November.
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Keywords
Unit root process; Moderate deviation; Convergence rate; Limiting distribution;All these keywords.
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