Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation
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DOI: 10.1016/j.jeconom.2017.01.011
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Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 697-715, June.
- Cubadda, Gianluca & Hecq, Alain & Telg, Sean, 2017. "Detecting Co-Movements in Noncausal Time Series," MPRA Paper 77254, University Library of Munich, Germany, revised 02 Mar 2017.
- Gianluca Cubadda & Alain Hecq & Sean Telg, 2018. "Detecting Co-Movements in Noncausal Time Series," CEIS Research Paper 430, Tor Vergata University, CEIS, revised 23 Apr 2018.
- Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2023.
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- Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2022. "Detecting common bubbles in multivariate mixed causal-noncausal models," Papers 2207.11557, arXiv.org.
- Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2023. "Detecting Common Bubbles in Multivariate Mixed Causal-noncausal Models," CEIS Research Paper 555, Tor Vergata University, CEIS, revised 27 Feb 2023.
- Gourieroux, Christian & Lu, Yang, 2019.
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- Christian Gouriéroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises [Least impulse response estimator for stress test exercises]," Post-Print hal-02419030, HAL.
- Christian Gourieroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises," Working Papers hal-02089698, HAL.
- Christian Gourieroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises," CEPN Working Papers 2019-05, Centre d'Economie de l'Université de Paris Nord.
- Gourieroux, C. & Jasiak, J. & Monfort, A., 2020.
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Journal of Econometrics, Elsevier, vol. 218(2), pages 714-735.
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- Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2020. "Stationary Bubble Equilibria in Rational Expectation Models," Post-Print hal-03330912, HAL.
- Bernd Funovits, 2020. "Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation," Papers 2002.04346, arXiv.org, revised Feb 2021.
- Gabriele Mingoli, 2024. "Modeling Common Bubbles: A Mixed Causal Non-Causal Dynamic Factor Model," Tinbergen Institute Discussion Papers 24-072/III, Tinbergen Institute.
- Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023.
"Optimization of the Generalized Covariance Estimator in Noncausal Processes,"
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2306.14653, arXiv.org, revised Jan 2024.
- Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2024. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," CEIS Research Paper 574, Tor Vergata University, CEIS, revised 23 Apr 2024.
- Anders Rygh Swensen, 2022. "On causal and non‐causal cointegrated vector autoregressive time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 178-196, March.
- Christian Gourieroux & Joann Jasiak, 2023.
"Generalized Covariance Estimator,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1315-1327, October.
- Christian Gourieroux & Joann Jasiak, 2021. "Generalized Covariance Estimator," Papers 2107.06979, arXiv.org.
- Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
- Hall, Mauri K. & Jasiak, Joann, 2024. "Modelling common bubbles in cryptocurrency prices," Economic Modelling, Elsevier, vol. 139(C).
- Kramkov, Viacheslav & Maksimov, Andrey, 2020. "Loan market markups and noncausal autoregressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 48-69.
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More about this item
Keywords
Multivariate noncausal process; Identification; Representation; Semi-parametric estimation; Generalized covariance estimator; Speculative bubble; Alternative investment; Alternative investment;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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