Modeling bivariate long‐range dependence with general phase
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DOI: 10.1111/jtsa.12504
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- Søren Johansen & Morten Ørregaard Nielsen, 2012.
"Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model,"
Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
- Morten Ø. Nielsen & S Johansen, 2010. "Likelihood Inference For A Fractionally Cointegrated Vector Autoregressive Model," Working Paper 1237, Economics Department, Queen's University.
- Søren Johansen & Morten Ørregaard Nielsen, 2010. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Discussion Papers 10-15, University of Copenhagen. Department of Economics.
- Søren Johansen & Morten Ørregaard Nielsen, 2010. "Likelihood inference for a fractionally cointegrated vector autoregressive model," CREATES Research Papers 2010-24, Department of Economics and Business Economics, Aarhus University.
- Andreas Noack Jensen & Morten Ørregaard Nielsen, 2014.
"A Fast Fractional Difference Algorithm,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 428-436, August.
- Andreas Noack Jensen & Morten Ø. Nielsen, 2013. "A Fast Fractional Difference Algorithm," Working Paper 1307, Economics Department, Queen's University.
- Andreas Noack Jensen & Morten Ørregaard Nielsen, 2013. "A fast fractional difference algorithm," Discussion Papers 13-04, University of Copenhagen. Department of Economics.
- Pai, Jeffrey & Ravishanker, Nalini, 2009. "Maximum likelihood estimation in vector long memory processes via EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4133-4142, October.
- Baillie, Richard T. & Morana, Claudio, 2012. "Adaptive ARFIMA models with applications to inflation," Economic Modelling, Elsevier, vol. 29(6), pages 2451-2459.
- Hosoya, Yuzo, 1996. "The quasi-likelihood approach to statistical inference on multiple time-series with long-range dependence," Journal of Econometrics, Elsevier, vol. 73(1), pages 217-236, July.
- Doornik Jurgen A & Ooms Marius, 2004. "Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-25, May.
- Martin, Vance L. & Wilkins, Nigel P., 1999.
"Indirect estimation of ARFIMA and VARFIMA models,"
Journal of Econometrics, Elsevier, vol. 93(1), pages 149-175, November.
- Martin, V.L. & Wilkins, N.P., 1997. "Indirect Estimation of Arfima and Varfima Models," Department of Economics - Working Papers Series 547, The University of Melbourne.
- Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
- Pai, Jeffrey & Ravishanker, Nalini, 2009. "A multivariate preconditioned conjugate gradient approach for maximum likelihood estimation in vector long memory processes," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1282-1289, May.
- Michael Dueker & Richard Startz, 1998. "Maximum-Likelihood Estimation Of Fractional Cointegration With An Application To U.S. And Canadian Bond Rates," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 420-426, August.
- Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
- Rebecca J. Sela & Clifford M. Hurvich, 2009. "Computationally efficient methods for two multivariate fractionally integrated models," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(6), pages 631-651, November.
- Baillie, Richard T & Chung, Ching-Fan & Tieslau, Margie A, 1996. "Analysing Inflation by the Fractionally Integrated ARFIMA-GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-40, Jan.-Feb..
- Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.
- Johansen, SØren, 2008. "A Representation Theory For A Class Of Vector Autoregressive Models For Fractional Processes," Econometric Theory, Cambridge University Press, vol. 24(3), pages 651-676, June.
- Alexis Antoniades & Richard Peach & Robert W. Rich, 2004. "The historical and recent behavior of goods and services inflation," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 19-31.
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