Identification of Noncausal Models by Quantile Autoregressions
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- Alain Hecq & Lenard Lieb & Sean Telg, 2016. "Identification of Mixed Causal-Noncausal Models in Finite Samples," Annals of Economics and Statistics, GENES, issue 123-124, pages 307-331.
- Lanne, Markku & Luoto, Jani, 2013.
"Autoregression-based estimation of the new Keynesian Phillips curve,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 561-570.
- Lanne, Markku & Luoto, Jani, 2011. "Autoregression-Based Estimation of the New Keynesian Phillips Curve," MPRA Paper 29801, University Library of Munich, Germany.
- Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990.
"Seasonal integration and cointegration,"
Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
- Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal, Integration And Cointegration," Papers 6-88-2, Pennsylvania State - Department of Economics.
- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal Integration And Cointegration," Papers 0-88-2, Pennsylvania State - Department of Economics.
- Lanne, Markku & Luoto, Jani & Saikkonen, Pentti, 2012.
"Optimal forecasting of noncausal autoregressive time series,"
International Journal of Forecasting, Elsevier, vol. 28(3), pages 623-631.
- Lanne, Markku & Luoto, Jani & Saikkonen, Pentti, 2010. "Optimal Forecasting of Noncausal Autoregressive Time Series," MPRA Paper 23648, University Library of Munich, Germany.
- Andrews, Beth & Davis, Richard A. & Jay Breidt, F., 2006. "Maximum likelihood estimation for all-pass time series models," Journal of Multivariate Analysis, Elsevier, vol. 97(7), pages 1638-1659, August.
- Adam, M C & Szafarz, A, 1992.
"Speculative Bubbles and Financial Markets,"
Oxford Economic Papers, Oxford University Press, vol. 44(4), pages 626-640, October.
- Marie Christine Adam & Ariane Szafarz, 1992. "Speculative Bubbles and Financial Markets," ULB Institutional Repository 2013/689, ULB -- Universite Libre de Bruxelles.
- Marie Christine Adam & Ariane Szafarz, 1993. "Speculative Bubbles and Financial Markets," ULB Institutional Repository 2013/665, ULB -- Universite Libre de Bruxelles.
- Fries, Sébastien & Zakoian, Jean-Michel, 2019.
"Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles,"
Econometric Theory, Cambridge University Press, vol. 35(6), pages 1234-1270, December.
- Fries, Sébastien & Zakoian, Jean-Michel, 2017. "Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles," MPRA Paper 81345, University Library of Munich, Germany.
- Hecq, Alain & Issler, João Victor & Telg, Sean, 2017. "Mixed Causal-Noncausal Autoregressions with Strictly Exogenous Regressors," MPRA Paper 80767, University Library of Munich, Germany.
- Alain Hecq & Sean Telg & Lenard Lieb, 2017.
"Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?,"
Econometrics, MDPI, vol. 5(4), pages 1-22, October.
- Hecq, Alain & Telg, Sean & Lieb, Lenard, 2016. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," MPRA Paper 74922, University Library of Munich, Germany, revised 04 Nov 2016.
- Herce, Miguel A., 1996. "Asymptotic Theory of LAD Estimation in a Unit Root Process with Finite Variance Errors," Econometric Theory, Cambridge University Press, vol. 12(1), pages 129-153, March.
- Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2011. "Non‐Fundamentalness in Structural Econometric Models: A Review," International Statistical Review, International Statistical Institute, vol. 79(1), pages 16-47, April.
- Laurence Broze & Ariane Szafarz, 1985. "Solutions des modèles linéaires à anticipations rationnelles," ULB Institutional Repository 2013/679, ULB -- Universite Libre de Bruxelles.
- Knight, Keith, 1991. "Limit Theory for M-Estimates in an Integrated Infinite Variance," Econometric Theory, Cambridge University Press, vol. 7(2), pages 200-212, June.
- Lanne Markku & Saikkonen Pentti, 2011.
"Noncausal Autoregressions for Economic Time Series,"
Journal of Time Series Econometrics, De Gruyter, vol. 3(3), pages 1-32, October.
- Lanne, Markku & Saikkonen, Pentti, 2010. "Noncausal autoregressions for economic time series," MPRA Paper 32943, University Library of Munich, Germany.
- Geert Dhaene & Christian Gourieroux & Olivier Scaillet, 1998. "Instrumental Models and Indirect Encompassing," Econometrica, Econometric Society, vol. 66(3), pages 673-688, May.
- Christian Gourieroux & Joann Jasiak, 2016. "Filtering, Prediction and Simulation Methods for Noncausal Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 405-430, May.
- Breid, F. Jay & Davis, Richard A. & Lh, Keh-Shin & Rosenblatt, Murray, 1991. "Maximum likelihood estimation for noncausal autoregressive processes," Journal of Multivariate Analysis, Elsevier, vol. 36(2), pages 175-198, February.
- Christian Gouriéroux & Joann Jasiak, 2015. "Semi-Parametric Estimation of Noncausal Vector Autoregression," Working Papers 2015-02, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
- Pollard, David, 1991. "Asymptotics for Least Absolute Deviation Regression Estimators," Econometric Theory, Cambridge University Press, vol. 7(2), pages 186-199, June.
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Cited by:
- Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
- Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2019-04-22 (Econometrics)
- NEP-ETS-2019-04-22 (Econometric Time Series)
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