Edgeworth expansions for semiparametric Whittle estimation of long memory
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- Giraitis, Liudas & Robinson, Peter M. & Samarov, Alexander, 2000. "Adaptive Semiparametric Estimation of the Memory Parameter," Journal of Multivariate Analysis, Elsevier, vol. 72(2), pages 183-207, February.
- Clifford M. Hurvich & Julia Brodsky, 2001. "Broadband Semiparametric Estimation of the Memory Parameter of a Long‐Memory Time Series Using Fractional Exponential Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(2), pages 221-249, March.
- Velasco, Carlos & Robinson, Peter M., 2001.
"Edgeworth Expansions For Spectral Density Estimates And Studentized Sample Mean,"
Econometric Theory, Cambridge University Press, vol. 17(3), pages 497-539, June.
- Robinson, Peter M. & Velasco, Carlos, 2000. "Edgeworth expansions for spectral density estimates and studentized sample mean," LSE Research Online Documents on Economics 2148, London School of Economics and Political Science, LSE Library.
- Velasco, Carlos & Robinson, Peter M., 2001. "Edgeworth expansions for spectral density estimates and studentized sample mean," LSE Research Online Documents on Economics 315, London School of Economics and Political Science, LSE Library.
- Robinson, P.M. & Henry, M., 1999.
"Long And Short Memory Conditional Heteroskedasticity In Estimating The Memory Parameter Of Levels,"
Econometric Theory, Cambridge University Press, vol. 15(3), pages 299-336, June.
- Robinson, Peter M. & Henry, Marc, 1998. "Long and short memory conditional heteroscedasticity in estimating the memory parameter of levels," LSE Research Online Documents on Economics 2022, London School of Economics and Political Science, LSE Library.
- Robinson, Peter M. & Henry, M., 1999. "Long and short memory conditional heteroskedasticity in estimating the memory parameter of levels," LSE Research Online Documents on Economics 304, London School of Economics and Political Science, LSE Library.
- Liudas Giraitis & Peter M Robinson & Alexander Samarov, 2000. "Adaptive Semiparametric Estimation of the Memory Parameter - (Now published with revised title, Adaptive Rate-Optimal Estimation of the Memory Parameter, in Journal of Multivariate Analysis, 72 (2000)," STICERD - Econometrics Paper Series 379, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Clifford M. Hurvich & Bonnie K. Ray, 1995. "Estimation Of The Memory Parameter For Nonstationary Or Noninvertible Fractionally Integrated Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(1), pages 17-41, January.
- Velasco, Carlos, 1999. "Non-stationary log-periodogram regression," Journal of Econometrics, Elsevier, vol. 91(2), pages 325-371, August.
- Y. Nishiyama & P. M. Robinson, 2000.
"Edgeworth Expansions for Semiparametric Averaged Derivatives,"
Econometrica, Econometric Society, vol. 68(4), pages 931-980, July.
- Nishiyama, Y & Robinson, Peter M., 1999. "Edgeworth expansions for semiparametric averaged derivatives," LSE Research Online Documents on Economics 2132, London School of Economics and Political Science, LSE Library.
- Liudas Giraitis & Peter M. Robinson & Alexander Samarov, 1997. "Rate Optimal Semiparametric Estimation Of The Memory Parameter Of The Gaussian Time Series With Long‐Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(1), pages 49-60, January.
- Donald W. K. Andrews & Patrik Guggenberger, 2003.
"A Bias--Reduced Log--Periodogram Regression Estimator for the Long--Memory Parameter,"
Econometrica, Econometric Society, vol. 71(2), pages 675-712, March.
- Donald W.K. Andrews & Patrik Guggenberger, 2000. "A Bias-Reduced Log-Periodogram Regression Estimator for the Long-Memory Parameter," Cowles Foundation Discussion Papers 1263, Cowles Foundation for Research in Economics, Yale University.
- Tom Doan, "undated". "AGFRACTD: RATS procedure to compute Andrews-Guggenberger estimate of fractional difference," Statistical Software Components RTS00005, Boston College Department of Economics.
- Lieberman, Offer & Rousseau, Judith & Zucker, David M., 2001. "Valid Edgeworth Expansion For The Sample Autocorrelation Function Under Long Range Dependence," Econometric Theory, Cambridge University Press, vol. 17(1), pages 257-275, February.
- Robinson, P. M., 1995. "The approximate distribution of nonparametric regression estimates," Statistics & Probability Letters, Elsevier, vol. 23(2), pages 193-201, May.
- Giraitis, Liudas & Robinson, Peter M. & Samarov, Alexander, 2000. "Adaptive semiparametric estimation of the memory parameter," LSE Research Online Documents on Economics 2082, London School of Economics and Political Science, LSE Library.
- Donald W.K. Andrews & Yixiao Sun, 2001. "Local Polynomial Whittle Estimation of Long-range Dependence," Cowles Foundation Discussion Papers 1293, Cowles Foundation for Research in Economics, Yale University.
- Clifford M. Hurvich, 2001. "Model Selection for Broadband Semiparametric Estimation of Long Memory in Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(6), pages 679-709, November.
Citations
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Cited by:
- Morten Ørregaard Nielsen & Per Houmann Frederiksen, 2005.
"Finite Sample Comparison of Parametric, Semiparametric, and Wavelet Estimators of Fractional Integration,"
Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 405-443.
- Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.
- Neil Kellard & Denise Osborn & Jerry Coakley & Simone D. Grose & Gael M. Martin & Donald S. Poskitt, 2015.
"Bias Correction of Persistence Measures in Fractionally Integrated Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 721-740, September.
- Simone D. Grose & Gael M. Martin & Donald S. Poskitt, 2013. "Bias Correction of Persistence Measures in Fractionally Integrated Models," Monash Econometrics and Business Statistics Working Papers 29/13, Monash University, Department of Econometrics and Business Statistics.
- Simone D. Grose & Gael M. Martin & D.S. Poskitt, 2014. "Bias Correction of Persistence Measures in Fractionally Integrated Models," Monash Econometrics and Business Statistics Working Papers 19/14, Monash University, Department of Econometrics and Business Statistics.
- Peter Robinson, 2007. "Diagnostic Testing For Cointegration," STICERD - Econometrics Paper Series 522, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Robinson, Peter, 2007. "Diagnostic testing for cointegration," LSE Research Online Documents on Economics 4465, London School of Economics and Political Science, LSE Library.
- Stelios Arvanitis & Antonis Demos, 2015.
"A class of indirect inference estimators: higher‐order asymptotics and approximate bias correction,"
Econometrics Journal, Royal Economic Society, vol. 18(2), pages 200-241, June.
- Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
- Robinson, P.M., 2008. "Diagnostic testing for cointegration," Journal of Econometrics, Elsevier, vol. 143(1), pages 206-225, March.
- Arteche, Josu & Orbe, Jesus, 2016. "A bootstrap approximation for the distribution of the Local Whittle estimator," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 645-660.
- Andrews, Donald W.K. & Lieberman, Offer & Marmer, Vadim, 2006.
"Higher-order improvements of the parametric bootstrap for long-memory Gaussian processes,"
Journal of Econometrics, Elsevier, vol. 133(2), pages 673-702, August.
- Donald W.K. Andrews & Offer Lieberman, 2002. "Higher-order Improvements of the Parametric Bootstrap for Long-memory Gaussian Processes," Cowles Foundation Discussion Papers 1378, Cowles Foundation for Research in Economics, Yale University.
- D. S. Poskitt, 2008.
"Properties of the Sieve Bootstrap for Fractionally Integrated and Non‐Invertible Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 224-250, March.
- D. S. Poskitt, 2006. "Properties of the Sieve Bootstrap for Fractionally Integrated and Non-Invertible Processes," Monash Econometrics and Business Statistics Working Papers 12/06, Monash University, Department of Econometrics and Business Statistics.
- Arteche, Josu & Orbe, Jesus, 2017. "A strategy for optimal bandwidth selection in Local Whittle estimation," Econometrics and Statistics, Elsevier, vol. 4(C), pages 3-17.
- D.S. Poskitt & Gael M. Martin & Simone D. Grose, 2012.
"Bias Reduction of Long Memory Parameter Estimators via the Pre-filtered Sieve Bootstrap,"
Monash Econometrics and Business Statistics Working Papers
8/12, Monash University, Department of Econometrics and Business Statistics.
- D.S. Poskitt & Gael M. Martin & Simone D. Grose, 2014. "Bias Reduction of Long Memory Parameter Estimators via the Pre-filtered Sieve Bootstrap," Monash Econometrics and Business Statistics Working Papers 10/14, Monash University, Department of Econometrics and Business Statistics.
- Peter M Robinson, 2007. "Multiple Local Whittle Estimation in StationarySystems," STICERD - Econometrics Paper Series 525, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Arteche, Josu & Orbe, Jesus, 2009. "Using the bootstrap for finite sample confidence intervals of the log periodogram regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1940-1953, April.
- Fabrizio Iacone, 2010. "Local Whittle estimation of the memory parameter in presence of deterministic components," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(1), pages 37-49, January.
- 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.
- Leïla Nouira & Mohamed Boutahar & Vêlayoudom Marimoutou, 2009. "The effect of tapering on the semiparametric estimators for nonstationary long memory processes," Statistical Papers, Springer, vol. 50(2), pages 225-248, March.
- Robinson, Peter M., 2007. "Multiple local whittle estimation in stationary systems," LSE Research Online Documents on Economics 4436, London School of Economics and Political Science, LSE Library.
- Josu Arteche & Jesus Orbe, 2009. "Bootstrap‐based bandwidth choice for log‐periodogram regression," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(6), pages 591-617, November.
- Beran, Jan & Ghosh, Sucharita & Schell, Dieter, 2009. "On least squares estimation for long-memory lattice processes," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2178-2194, November.
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More about this item
Keywords
Edgeworth expansion; long memory; semiparametric estimation. AMS subject classification : primary 62G20; secondary 62M10.;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
Statistics
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