US Sea Level Data: Time Trends and Persistence
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Luis A. Gil-Alana, 2015. "Linear and segmented trends in sea surface temperature data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(7), pages 1531-1546, July.
- Sönke Dangendorf & Marta Marcos & Alfred Müller & Eduardo Zorita & Riccardo Riva & Kevin Berk & Jürgen Jensen, 2015. "Detecting anthropogenic footprints in sea level rise," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
- Luis A. Gil-Alana, 2008. "Time trend estimation with breaks in temperature time series," Faculty Working Papers 09/08, School of Economics and Business Administration, University of Navarra.
- Aimée B. A. Slangen & John A. Church & Cecile Agosta & Xavier Fettweis & Ben Marzeion & Kristin Richter, 2016. "Anthropogenic forcing dominates global mean sea-level rise since 1970," Nature Climate Change, Nature, vol. 6(7), pages 701-705, July.
- C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
- Kantelhardt, Jan W & Koscielny-Bunde, Eva & Rego, Henio H.A & Havlin, Shlomo & Bunde, Armin, 2001. "Detecting long-range correlations with detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 441-454.
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.- Lavička, Hynek & Kracík, Jiří, 2020. "Fluctuation analysis of electric power loads in Europe: Correlation multifractality vs. Distribution function multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
- Thompson, James R. & Wilson, James R., 2016. "Multifractal detrended fluctuation analysis: Practical applications to financial time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 126(C), pages 63-88.
- Michalski, Sebastian, 2008. "Blocks adjustment—reduction of bias and variance of detrended fluctuation analysis using Monte Carlo simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(1), pages 217-242.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999.
"The Distribution of Exchange Rate Volatility,"
New York University, Leonard N. Stern School Finance Department Working Paper Seires
99-059, New York University, Leonard N. Stern School of Business-.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Torben Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," NBER Working Papers 6961, National Bureau of Economic Research, Inc.
- Olushina O Awe & Robert Mudida & Luis A. Gil‐Alana, 2021. "Comparative analysis of economic growth in Nigeria and Kenya: A fractional integration approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1197-1205, January.
- Ho, Hwai-Chung, 2015. "Sample quantile analysis for long-memory stochastic volatility models," Journal of Econometrics, Elsevier, vol. 189(2), pages 360-370.
- Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian analysis of long memory and persistence using ARFIMA models,"
Journal of Econometrics, Elsevier, vol. 76(1-2), pages 149-169.
- KOOP , Gary & LEY , Eduardo & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," LIDAM Discussion Papers CORE 1995035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gary Koop & Eduardo Ley & Jacek Osiewalski & Mark F.J. Steel, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Econometrics 9505001, University Library of Munich, Germany, revised 22 Jun 2004.
- Gary Koop, 1995. "Bayesian Analysis of Long Memory and Persistence using ARFIMA Models," Working Papers gkoop-95-01, University of Toronto, Department of Economics.
- Rob Hyndman & Heather Booth & Farah Yasmeen, 2013.
"Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models,"
Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 261-283, February.
- Rob J Hyndman & Heather Booth & Farah Yasmeen, 2011. "Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models," Working Papers 201116, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
- Rob J Hyndman & Heather Booth & Farah Yasmeen, 2011. "Coherent mortality forecasting: the product-ratio method with functional time series models," Monash Econometrics and Business Statistics Working Papers 1/11, Monash University, Department of Econometrics and Business Statistics.
- Ngene, Geoffrey & Tah, Kenneth A. & Darrat, Ali F., 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, Elsevier, vol. 34(C), pages 61-73.
- Luis Gil-Alana, 2004.
"Forecasting the real output using fractionally integrated techniques,"
Applied Economics, Taylor & Francis Journals, vol. 36(14), pages 1583-1589.
- Gil-Alaña, Luis A., 2001. "Forecasting the real output using fractionally integrated techniques," SFB 373 Discussion Papers 2001,27, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.
- Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
- Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018.
"Is market fear persistent? A long-memory analysis,"
Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
- Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2017. "Is Market Fear Persistent? A Long-Memory Analysis," CESifo Working Paper Series 6534, CESifo.
- Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2017. "Is Market Fear Persistent? A Long-Memory Analysis," Discussion Papers of DIW Berlin 1670, DIW Berlin, German Institute for Economic Research.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1997.
"Estimation of stochastic volatility models with diagnostics,"
Journal of Econometrics, Elsevier, vol. 81(1), pages 159-192, November.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
- Balagula, Yuri, 2020. "Forecasting daily spot prices in the Russian electricity market with the ARFIMA model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 89-101.
- Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
- Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
- Vitanov, Nikolay K. & Sakai, Kenshi & Dimitrova, Zlatinka I., 2008. "SSA, PCA, TDPSC, ACFA: Useful combination of methods for analysis of short and nonstationary time series," Chaos, Solitons & Fractals, Elsevier, vol. 37(1), pages 187-202.
- Bolin Lei & Zhengdi Liu & Yuping Song, 2021. "On stock volatility forecasting based on text mining and deep learning under high‐frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1596-1610, December.
- Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
More about this item
Keywords
sea level; time trends; fractional integration;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ETS-2020-07-13 (Econometric Time Series)
- NEP-ORE-2020-07-13 (Operations Research)
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:ces:ceswps:_8274. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.