Exact Local Whittle Estimation of Fractional Integration
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Katsumi Shimotsu & Peter C.B. Phillips, 2002. "Exact Local Whittle Estimation of Fractional Integration," Cowles Foundation Discussion Papers 1367, Cowles Foundation for Research in Economics, Yale University, revised Jul 2004.
References listed on IDEAS
- Peter C.B. Phillips, 1999. "Discrete Fourier Transforms of Fractional Processes," Cowles Foundation Discussion Papers 1243, Cowles Foundation for Research in Economics, Yale University.
- Hansen, Bruce E., 1996.
"Stochastic Equicontinuity for Unbounded Dependent Heterogeneous Arrays,"
Econometric Theory, Cambridge University Press, vol. 12(2), pages 347-359, June.
- Bruce E. Hansen, 1994. "Stochastic Equicontinuity for Unbounded Dependent Heterogeneous Arrays," Boston College Working Papers in Economics 295., Boston College Department of Economics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002.
"Consistent testing for stochastic dominance: a subsampling approach,"
CeMMAP working papers
03/02, Institute for Fiscal Studies.
- Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2002. "Consistent testing for stochastic dominance: a subsampling approach," LSE Research Online Documents on Economics 24927, London School of Economics and Political Science, LSE Library.
- Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers CWP03/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2002. "Consistent testing for stochastic dominance : a subsampling approach," LSE Research Online Documents on Economics 2207, London School of Economics and Political Science, LSE Library.
- Yoon-Jae Whang & Esfandiar Maasoumi & Oliver Linton, 2004. "Consistent Testing for Stochastic Dominance: A Subsampling Approach," FMG Discussion Papers dp508, Financial Markets Group.
- Oliver Linton & Esfandiar Maasoumi & Whang, Yoon-Jae, 2002. "Consistent Testing for Stochastic Dominance: A Subsampling Approach," Cowles Foundation Discussion Papers 1356, Cowles Foundation for Research in Economics, Yale University, revised Mar 2002.
- Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2003. "Consistent testing for stochastic dominance: a subsampling approach," LSE Research Online Documents on Economics 24755, London School of Economics and Political Science, LSE Library.
- Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2002. "Consistent Testing for Stochastic Dominance: A Subsampling Approach," FMG Discussion Papers dp407, Financial Markets Group.
- Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2002. "Consistent Testing for Stochastic Dominance: A Subsampling Approach," STICERD - Econometrics Paper Series 433, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012.
"Regression towards the mode,"
Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
- Kemp, GCR & Santos Silva, JMC, 2010. "Regression towards the mode," Economics Discussion Papers 5757, University of Essex, Department of Economics.
- Tan, Zhengxun & Liu, Juan & Chen, Juanjuan, 2021. "Detecting stock market turning points using wavelet leaders method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
- Geoffrey Ngene & Ann Nduati Mungai & Allen K. Lynch, 2018. "Long-Term Dependency Structure and Structural Breaks: Evidence from the U.S. Sector Returns and Volatility," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-38, June.
- Corradi, Valentina & Fernandez, Andres & Swanson, Norman R., 2009.
"Information in the Revision Process of Real-Time Datasets,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 455-467.
- Valentina Corradi & Andres Fernandez & Norman R. Swanson, 2008. "Information in the revision process of real-time datasets," Working Papers 08-27, Federal Reserve Bank of Philadelphia.
- Norman R. Swanson & Valentina Corradi & Andres Fernandez, 2011. "Information in the Revision Process of Real-Time Datasets," Departmental Working Papers 201107, Rutgers University, Department of Economics.
- Chang Sik Kim & Peter C.B. Phillips, 2006. "Log Periodogram Regression: The Nonstationary Case," Cowles Foundation Discussion Papers 1587, Cowles Foundation for Research in Economics, Yale University.
- Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
- Dominique Guegan & Zhiping Lu & Beijia Zhu, 2012.
"Comparaison of Several Estimation Procedures for Long Term Behavior,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
halshs-00673934, HAL.
- Dominique Guegan & Zhiping Lu & BeiJia Zhu, 2012. "Comparaison of several estimation procedures for long term behavior," Documents de travail du Centre d'Economie de la Sorbonne 12008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Morana, Claudio, 2007.
"Multivariate modelling of long memory processes with common components,"
Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 919-934, October.
- Claudio Morana, 2006. "Multivariate modelling of long memory processes with common components," ICER Working Papers 40-2006, ICER - International Centre for Economic Research.
- Donald W. K. Andrews & Xu Cheng, 2012.
"Estimation and Inference With Weak, Semi‐Strong, and Strong Identification,"
Econometrica, Econometric Society, vol. 80(5), pages 2153-2211, September.
- Donald W.K. Andrews & Xu Cheng, 2010. "Estimation and Inference with Weak, Semi-strong, and Strong Identification," Cowles Foundation Discussion Papers 1773, Cowles Foundation for Research in Economics, Yale University.
- Donald W.K. Andrews & Xu Cheng, 2010. "Estimation and Inference with Weak, Semi-strong, and Strong Identification," Cowles Foundation Discussion Papers 1773R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Laura Mayoral, 2007.
"Minimum distance estimation of stationary and non-stationary ARFIMA processes,"
Econometrics Journal, Royal Economic Society, vol. 10(1), pages 124-148, March.
- Laura Mayoral, 2006. "Minimum distance estimation of stationary and non-stationary ARFIMA processes," Economics Working Papers 959, Department of Economics and Business, Universitat Pompeu Fabra.
- Jia Li & Dacheng Xiu, 2016.
"Generalized Method of Integrated Moments for High‐Frequency Data,"
Econometrica, Econometric Society, vol. 84, pages 1613-1633, July.
- Jia Li & Dacheng Xiu, 2016. "Generalized Method of Integrated Moments for High‐Frequency Data," Econometrica, Econometric Society, vol. 84(4), pages 1613-1633, July.
- Andrews, Donald W.K. & Cheng, Xu, 2013.
"Maximum likelihood estimation and uniform inference with sporadic identification failure,"
Journal of Econometrics, Elsevier, vol. 173(1), pages 36-56.
- Donald W. K. Andrews & Xu Cheng, 2011. "Maximum Likelihood Estimation and Uniform Inference with Sporadic Identification Failure," Cowles Foundation Discussion Papers 1824, Cowles Foundation for Research in Economics, Yale University.
- Donald W. K. Andrews & Xu Cheng, 2011. "Maximum Likelihood Estimation and Uniform Inference with Sporadic Identification Failure," Cowles Foundation Discussion Papers 1824R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2012.
- Esposti, Roberto, 2017. "What Makes Commodity Prices Move Together? An Answer From A Dynamic Factor Model," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260889, European Association of Agricultural Economists.
- Peter C. B. Phillips, 2005.
"Econometric Analysis of Fisher's Equation,"
American Journal of Economics and Sociology, Wiley Blackwell, vol. 64(1), pages 125-168, January.
- Peter C.B. Phillips, 1998. "Econometric Analysis of Fisher's Equation," Cowles Foundation Discussion Papers 1180, Cowles Foundation for Research in Economics, Yale University.
- Odendahl, Florens & Rossi, Barbara & Sekhposyan, Tatevik, 2023.
"Evaluating forecast performance with state dependence,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating forecast performance with state dependence," Economics Working Papers 1800, Department of Economics and Business, Universitat Pompeu Fabra.
- Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021. "Evaluating Forecast Performance with State Dependence," Working Papers 1295, Barcelona School of Economics.
- Manuel Monge & Ana Lazcano, 2022. "Commodity Prices after COVID-19: Persistence and Time Trends," Risks, MDPI, vol. 10(6), pages 1-20, June.
- Coleman, Simeon, 2012. "Where Does the Axe Fall? Inflation Dynamics and Poverty Rates: Regional and Sectoral Evidence for Ghana," World Development, Elsevier, vol. 40(12), pages 2454-2467.
- Zhenlin Yang & Liangjun Su, 2007.
"Instrumental Variable Quantile Estimation of Spatial Autoregressive Models,"
Working Papers
05-2007, Singapore Management University, School of Economics.
- Liangjun Su & Zhenlin Yang, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Development Economics Working Papers 22476, East Asian Bureau of Economic Research.
- Phillips, Peter C.B., 2005.
"Challenges of trending time series econometrics,"
Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 401-416.
- Peter C.B. Phillips, 2004. "Challenges of Trending Time Series Econometrics," Cowles Foundation Discussion Papers 1472, Cowles Foundation for Research in Economics, Yale University.
More about this item
Keywords
Discrete Fourier transform; fractional integration; long memory; nonstationarity; semiparametric estimation; Whittle likelihood.;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:esx:essedp:8838. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Essex Economics Web Manager (email available below). General contact details of provider: https://edirc.repec.org/data/edessuk.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.