Expansions for approximate maximum likelihood estimators of the fractional difference parameter
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- Offer Lieberman & Peter C.B. Phillips, 2004. "Expansions for Approximate Maximum Likelihood Estimators of the Fractional Difference Parameter," Cowles Foundation Discussion Papers 1474, Cowles Foundation for Research in Economics, Yale University.
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- Lieberman, Offer & Phillips, Peter C.B., 2008.
"A complete asymptotic series for the autocovariance function of a long memory process,"
Journal of Econometrics,
Elsevier, vol. 147(1), pages 99-103, November.
- Offer Lieberman & Peter C.B. Phillips, 2006. "A Complete Asymptotic Series for the Autocovariance Function of a Long Memory Process," Cowles Foundation Discussion Papers 1586, Cowles Foundation for Research in Economics, Yale University.
- Poskitt, D.S. & Grose, Simone D. & Martin, Gael M., 2015.
"Higher-order improvements of the sieve bootstrap for fractionally integrated processes,"
Journal of Econometrics,
Elsevier, vol. 188(1), pages 94-110.
- D.S. Poskitt & Simone D. Grose & Gael M. Martin, 2012. "Higher Order Improvements of the Sieve Bootstrap for Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 9/12, Monash University, Department of Econometrics and Business Statistics.
- D.S. Poskitt & Simone D. Grose & Gael M. Martin, 2013. "Higher-Order Improvements of the Sieve Bootstrap for Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 25/13, Monash University, Department of Econometrics and Business Statistics.
- Offer Lieberman & Peter Phillips, 2008.
"Refined Inference on Long Memory in Realized Volatility,"
Taylor & Francis Journals, vol. 27(1-3), pages 254-267.
- Offer Lieberman & Peter C. B. Phillips, 2006. "Refined Inference on Long Memory in Realized Volatility," Cowles Foundation Discussion Papers 1549, Cowles Foundation for Research in Economics, Yale University.
- Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
More about this item
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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