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Noncausal Autoregressions for Economic Time Series
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Cited by:
- Paul Beaudry & Franck Portier, 2014.
"News-Driven Business Cycles: Insights and Challenges,"
Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
- Portier, Franck & Beaudry, Paul, 2013. "News Driven Business Cycles: Insights and Challenges," CEPR Discussion Papers 9624, C.E.P.R. Discussion Papers.
- Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
- Paul Beaudry & Franck Portier, 2013. "News Driven Business Cycles: Insights and Challenges," NBER Working Papers 19411, National Bureau of Economic Research, Inc.
- Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
- Lanne Markku, 2015.
"Noncausality and inflation persistence,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 469-481, September.
- Markku Lanne, 2013. "Noncausality and Inflation Persistence," Discussion Papers of DIW Berlin 1286, DIW Berlin, German Institute for Economic Research.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022.
"Is Climate Change Time-Reversible?,"
Econometrics, MDPI, vol. 10(4), pages 1-18, December.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Working Paper series 22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Papers 2205.07579, arXiv.org, revised Nov 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time-reversible?," Working Papers 498, University of Milano-Bicocca, Department of Economics, revised Nov 2022.
- 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.
- Demetrescu, Matei & Kruse, Robinson, 2015. "Testing heteroskedastic time series for normality," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113221, Verein für Socialpolitik / German Economic Association.
- Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
- Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Soccorsi, Stefano, 2016.
"Measuring nonfundamentalness for structural VARs,"
Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
- Stefano Soccorsi, 2016. "Measuring Nonfundamentalness for Structural VARs," Working Papers ECARES ECARES 2016-01, ULB -- Universite Libre de Bruxelles.
- Markku Lanne & Jani Luoto, 2019. "A comment on ‘on inflation expectations in the NKPC model’," Empirical Economics, Springer, vol. 57(6), pages 1865-1867, December.
- Francisco Blasques & Siem Jan Koopman & Gabriele Mingoli, 2023. "Observation-Driven filters for Time- Series with Stochastic Trends and Mixed Causal Non-Causal Dynamics," Tinbergen Institute Discussion Papers 23-065/III, Tinbergen Institute, revised 01 Mar 2024.
- Giancaterini, Francesco & Hecq, Alain, 2025. "Inference in mixed causal and noncausal models with generalized Student’s t-distributions," Econometrics and Statistics, Elsevier, vol. 33(C), pages 1-12.
- Hecq, A.W. & Lieb, L.M. & Telg, J.M.A., 2015. "Identification of Mixed Causal-Noncausal Models : How Fat Should We Go?," Research Memorandum 035, Maastricht University, Graduate School of Business and Economics (GSBE).
- Javier Hidalgo & Myung Hwan Seo, 2013.
"Specification For Lattice Processes,"
STICERD - Econometrics Paper Series
562, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Hidalgo, Javier & Seo, Myung Hwan, 2013. "Specification for lattice processes," LSE Research Online Documents on Economics 58191, London School of Economics and Political Science, LSE Library.
- Abhimanyu Gupta & Javier Hidalgo, 2020.
"Nonparametric prediction with spatial data,"
Papers
2008.04269, arXiv.org, revised Nov 2021.
- Gupta, Abhimanyu & Hidalgo, Javier, 2022. "Nonparametric prediction with spatial data," LSE Research Online Documents on Economics 115292, London School of Economics and Political Science, LSE Library.
- Abhimanyu Gupta & Javier Hidalgo, 2022. "Nonparametric prediction with spatial data," STICERD - Econometrics Paper Series 621, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- 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.
- Gianluca Cubadda & Alain Hecq & Sean Telg, 2019.
"Detecting Co‐Movements in Non‐Causal Time Series,"
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.
- Kindop, Igor, 2021. "Ubiquitous multimodality in mixed causal-noncausal processes," MPRA Paper 109594, University Library of Munich, Germany, revised 04 Sep 2021.
- Henri Nyberg & Markku Lanne & Erkka Saarinen, 2012. "Does noncausality help in forecasting economic time series?," Economics Bulletin, AccessEcon, vol. 32(4), pages 2849-2859.
- 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.
- Hecq, Alain & Voisin, Elisa, 2021.
"Forecasting bubbles with mixed causal-noncausal autoregressive models,"
Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
- Voisin, Elisa & Hecq, Alain, 2019. "Forecasting bubbles with mixed causal-noncausal autoregressive models," MPRA Paper 92734, University Library of Munich, Germany.
- Meitz, Mika & Saikkonen, Pentti, 2013.
"Maximum likelihood estimation of a noninvertible ARMA model with autoregressive conditional heteroskedasticity,"
Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 227-255.
- Mika Meitz & Pentti Saikkonen, 2012. "Maximum Likelihood Estimation of a Noninvertible ARMA Model with Autoregressive Conditional Heteroskedasticity," Koç University-TUSIAD Economic Research Forum Working Papers 1226, Koc University-TUSIAD Economic Research Forum.
- Frédéric BEC & Alain GUAY, 2020.
"A simple unit root test consistent against any stationary alternative,"
Working Papers
2020-28, Center for Research in Economics and Statistics.
- Frédérique Bec & Alain Guay, 2020. "A simple unit root test consistent against any stationary alternative," Working Papers halshs-03010256, HAL.
- Frédérique Bec & Alain Guay, 2020. "A simple unit root test consistent against any stationary alternative," THEMA Working Papers 2020-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Gourieroux, Christian & Jasiak, Joann, 2017. "Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation," Journal of Econometrics, Elsevier, vol. 200(1), pages 118-134.
- Fei Ma & Fei Liu & Qipeng Sun & Wenlin Wang & Xiaodan Li, 2018. "Measuring and Spatio-Temporal Evolution for the Late-Development Advantage in China’s Provinces," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
- Alain Hecq & Joao Victor Issler & Sean Telg, 2020.
"Mixed causal–noncausal autoregressions with exogenous regressors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 328-343, April.
- Hecq, Alain & Issler, João Victor & Telg, Sean, 2019. "Mixed causal-noncausal autoregressions with exogenous regressors," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 810, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Markku Lanne & Mika Meitz & Pentti Saikkonen, 2012.
"Testing for Predictability in a Noninvertible ARMA Model,"
Koç University-TUSIAD Economic Research Forum Working Papers
1225, Koc University-TUSIAD Economic Research Forum.
- Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2012. "Testing for predictability in a noninvertible ARMA model," MPRA Paper 37151, University Library of Munich, Germany.
- Markku Lanne & Jani Luoto, 2016.
"Noncausal Bayesian Vector Autoregression,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1392-1406, November.
- Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
- Matthijs Lof, 2014.
"GMM Estimation with Non-causal Instruments under Rational Expectations,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 279-286, April.
- Lof, Matthijs, 2011. "GMM estimation with noncausal instruments under rational expectations," MPRA Paper 35536, University Library of Munich, Germany.
- Hecq, Alain & Issler, João Victor & Voisin, Elisa, 2024.
"A short term credibility index for central banks under inflation targeting: An application to Brazil,"
Journal of International Money and Finance, Elsevier, vol. 143(C).
- Alain Hecq & Joao Issler & Elisa Voisin, 2022. "A short term credibility index for central banks under inflation targeting: an application to Brazil," Papers 2205.00924, arXiv.org, revised Jul 2022.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020.
"Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," THEMA Working Papers 2019-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédérique BEC & Heino BOHN NIELSEN & Sarra SAÏDI, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Working Papers 2019-09, Center for Research in Economics and Statistics.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing [Modèles auto-régressifs non-causaux mixtes: Problèmes de bimodalité pour l'estimation et le test de r," Working Papers hal-02175760, HAL.
- Alain Hecq & Elisa Voisin, 2023.
"Predicting Crashes in Oil Prices During The Covid-19 Pandemic with Mixed Causal-Noncausal Models,"
Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 209-233,
Emerald Group Publishing Limited.
- Alain Hecq & Elisa Voisin, 2019. "Predicting crashes in oil prices during the COVID-19 pandemic with mixed causal-noncausal models," Papers 1911.10916, arXiv.org, revised May 2022.
- Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Giancaterini, Francesco & Hecq, Alain, 2025.
"Inference in mixed causal and noncausal models with generalized Student’s t-distributions,"
Econometrics and Statistics, Elsevier, vol. 33(C), pages 1-12.
- Francesco Giancaterini & Alain Hecq, 2020. "Inference in mixed causal and noncausal models with generalized Student's t-distributions," Papers 2012.01888, arXiv.org, revised Nov 2022.
- Antonio Aguirre & Ignacio N. Lobato, 2024. "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, vol. 67(2), pages 761-772, August.
- Hidalgo, Javier & Seo, Myung Hwan, 2015.
"Specification Tests For Lattice Processes,"
Econometric Theory, Cambridge University Press, vol. 31(2), pages 294-336, April.
- Hidalgo, Javier & Seo, Myung Hwan, 2015. "Specification tests for lattice processes," LSE Research Online Documents on Economics 66104, London School of Economics and Political Science, LSE Library.
- Lanne, Markku & Saikkonen, Pentti, 2013.
"Noncausal Vector Autoregression,"
Econometric Theory, Cambridge University Press, vol. 29(3), pages 447-481, June.
- Lanne, Markku & Saikkonen, Pentti, 2009. "Noncausal vector autoregression," Bank of Finland Research Discussion Papers 18/2009, Bank of Finland.
- Lanne, Markku & Saikkonen, Pentti, 2010. "Noncausal Vector Autoregression," MPRA Paper 23717, University Library of Munich, Germany.
- 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.
- Dimitrakopoulos, Stefanos, 2017. "Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility," Economics Letters, Elsevier, vol. 150(C), pages 10-14.
- Markku Lanne & Henri Nyberg, 2015. "Nonlinear dynamic interrelationships between real activity and stock returns," CREATES Research Papers 2015-36, Department of Economics and Business Economics, Aarhus University.
- Ricco, Giovanni & Ellahie, Atif, 2012. "Government Spending Reloaded: Fundamentalness and Heterogeneity in Fiscal SVARs," MPRA Paper 42105, University Library of Munich, Germany.
- Lof Matthijs, 2013.
"Noncausality and asset pricing,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 211-220, April.
- Lof, Matthijs, 2011. "Noncausality and Asset Pricing," MPRA Paper 30519, University Library of Munich, Germany.
- Lanne, Markku & Luoto, Jani, 2012.
"Has US inflation really become harder to forecast?,"
Economics Letters, Elsevier, vol. 115(3), pages 383-386.
- Lanne, Markku & Luoto, Jani, 2010. "Has U.S. Inflation Really Become Harder to Forecast?," MPRA Paper 29992, 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.
- Brandes, Dirk-Philip & Lindner, Alexander, 2014. "Non-causal strictly stationary solutions of random recurrence equations," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 113-118.
- Nyberg, Henri & Saikkonen, Pentti, 2014.
"Forecasting with a noncausal VAR model,"
Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 536-555.
- Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
- Hamidi Sahneh, Mehdi, 2013.
"Testing for Noncausal Vector Autoregressive Representation,"
MPRA Paper
68867, University Library of Munich, Germany, revised 16 Aug 2014.
- Mehdi Hamidi Sahneh, 2015. "Testing for Noncausal Vector Autoregressive Representation," Proceedings of Economics and Finance Conferences 2204921, International Institute of Social and Economic Sciences.
- Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
- Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
- Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
- Alain Hecq & Daniel Velasquez-Gaviria, 2023. "Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models," Papers 2310.19543, arXiv.org.
- F. Blasques & S.J. Koopman & G. Mingoli & S. Telg, 2024. "A Novel Test for the Presence of Local Explosive Dynamics," Tinbergen Institute Discussion Papers 24-036/III, Tinbergen Institute.
- Gabriele Mingoli, 2024. "Modeling Common Bubbles: A Mixed Causal Non-Causal Dynamic Factor Model," Tinbergen Institute Discussion Papers 24-072/III, Tinbergen Institute.
- Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017.
"Identification and estimation of non-Gaussian structural vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
- Markku Lanne & Mika Meitz & Pentti Saikkonen, 2015. "Identification and estimation of non-Gaussian structural vector autoregressions," CREATES Research Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
- 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.
- Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
- Frederique Bec & Alain Guay, 2020. "A Simple Unit Root Test Consistent Against Any Stationary Alternative," Working Papers 20-20, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Xuanling Yang & Dong Li & Ting Zhang, 2024. "A simple stochastic nonlinear AR model with application to bubble," Papers 2401.07038, arXiv.org.
- Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023.
"Optimization of the Generalized Covariance Estimator in Noncausal Processes,"
Papers
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.
- Alain Hecq & Daniel Velasquez-Gaviria, 2022. "Spectral estimation for mixed causal-noncausal autoregressive models," Papers 2211.13830, arXiv.org.
- 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.
- Lanne, Markku & Nyberg, Henri & Saarinen, Erkka, 2011. "Forecasting U.S. Macroeconomic and Financial Time Series with Noncausal and Causal AR Models: A Comparison," MPRA Paper 30254, University Library of Munich, Germany.