Inference in Autoregression under Heteroskedasticity
By Peter C. B. Phillips, Ke-Li Xu. 2006
97 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a3a28796343ddd24eb8e56cb09379e3d650d17c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Alan M. Taylor
- Giuseppe Cavaliere
- Ke-Li Xu
- Peter C. B. Phillips
- Jun Yu
- M. Schularick
- Tassos Magdalinos
- Yixiao Sun
In Statistics and Probability
- Giuseppe Cavaliere
- Alan M. Taylor
- Ke-Li Xu
- Peter C. B. Phillips
- Yixiao Sun
- Tassos Magdalinos
- Ji Hyung Lee
- Sainan Jin
Citations in the corpus
- HETEROSKEDASTIC TIME SERIES WITH A UNIT ROOT (2009, background): “Other related work is considered by Phillips and Xu (2006), Xu and Phillips (2008), and Xu (2008), who show that nonconstant volatility can have a large impact on standard estimation and testing procedures in stable autoregressions.”
- Adaptive Estimation of Autoregressive Models with Time-Varying Variances (2008, background): “Lemma A(ii) of Phillips and Xu (2006a) shows that for every continuous point r of gð Þ; limT!”
- Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility (2010, unknown): “All results given in this section carry over straightforwardly to the case of either a restricted constant term (D1t = 1, D2t = 0) or a restricted linear trend (D1t = t, D2t = 1), as are considered in Swensen (2006). For example, the limiting null distributions of the Qr statistic in these two cases”