Testing for fundamental vector moving average representations
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- Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2015. "Testing for Fundamental Vector Moving Average Representations," CAEPR Working Papers 2015-022, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
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- Mario Forni & Luca Gambetti & Luca Sala, 2017. "News, Uncertainty and Economic Fluctuations (No News is Good News)," Center for Economic Research (RECent) 132, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- João Vitor Leme & Wallace Casaca & Marilaine Colnago & Maurício Araújo Dias, 2020. "Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models," Energies, MDPI, vol. 13(6), pages 1-20, March.
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- Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2016. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2016-20, Center for Research in Economics and Statistics.
- Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2017-09, Center for Research in Economics and Statistics.
- Paul Beaudry & Patrick Feve & Alain Guay & Franck Portier, 2019.
"When is Nonfundamentalness in SVARs a Real Problem?,"
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- Beaudry, Paul & Fève, Patrick & Guay, Alain & Portier, Franck, 2016. "When is Nonfundamentalness in SVARs A Real Problem?," TSE Working Papers 16-738, Toulouse School of Economics (TSE).
- Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
- Forni, Mario & Gambetti, Luca & Sala, Luca, 2017. "News, Uncertainty and Economic Fluctuations," CEPR Discussion Papers 12139, C.E.P.R. Discussion Papers.
- Christian Gouriéroux & Jean-Michel Zakoïan, 2017.
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Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 737-756, June.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2016. "Local Explosion Modelling by Noncausal Process," MPRA Paper 71105, University Library of Munich, Germany.
- Weifeng Jin, 2023. "Quantile Autoregression-based Non-causality Testing," Papers 2301.02937, arXiv.org.
- 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.
- Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
- Junjie Guo & Juan Carlos Escanciano & Jinho Choi, 2017. "Identification and Generalized Band Spectrum Estimation of the New Keynesian Phillips Curve," CAEPR Working Papers 2017-014, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
- Mario Forni & Luca Gambetti & Luca Sala, 2018. "Fundamentalness, Granger Causality and Aggregation," Center for Economic Research (RECent) 139, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
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JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- 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
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
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