Higher-order improvements of the parametric bootstrap for long-memory Gaussian processes

Author:

Andrews Donald W.K.,Lieberman Offer,Marmer Vadim

Publisher

Elsevier BV

Subject

Applied Mathematics,Economics and Econometrics

Reference32 articles.

1. Andrews, D.W.K., 2005. Higher-order improvements of the parametric bootstrap for Markov processes. In: Andrews, D.W.K., Stock, J.H. (Eds.), Identification and Inference for Econometric Models: A Festschrift in Honor of Thomas J. Rothenberg. Cambridge University Press, Cambridge, UK. Also available as Cowles Foundation Discussion Paper No. 1334, Yale University, at 〈http://cowles.econ.yale.edu〉.

2. Andrews, D. W. K., Lieberman, O., 2002. Higher-order improvements of the parametric bootstrap for long-memory Gaussian processes. Cowles Foundation Discussion Paper No. 1378, Yale University, New Haven, CT. Available at 〈http://cowles.econ.yale.edu〉.

3. Andrews, D.W.K., Lieberman, O., 2005. Valid Edgeworth expansions for the Whittle maximum likelihood estimator for stationary long-memory Gaussian time series. Econometric Theory 21, forthcoming.

4. Long memory processes and fractional integration in econometrics;Baillie;Journal of Econometrics,1996

5. Long memory in the forward premium;Baillie;Journal of International Money and Finance,1994

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