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Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility
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Cited by:
- Feldkircher, Martin & Siklos, Pierre L., 2019.
"Global inflation dynamics and inflation expectations,"
International Review of Economics & Finance, Elsevier, vol. 64(C), pages 217-241.
- Martin Feldkircher & Pierre L. Siklos, 2018. "Global inflation dynamics and inflation expectations," CAMA Working Papers 2018-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Benjamin K. Johannsen & Elmar Mertens, 2021.
"A Time‐Series Model of Interest Rates with the Effective Lower Bound,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1005-1046, August.
- Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
- Benjamin K Johannsen & Elmar Mertens, 2018. "A time series model of interest rates with the effective lower bound," BIS Working Papers 715, Bank for International Settlements.
- Dominik Bertsche & Robin Braun, 2022.
"Identification of Structural Vector Autoregressions by Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
- Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
- Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
- Roberto Casarin, 2014. "A Note on Tractable State-Space Model for Symmetric Positive-Definite Matrices," Working Papers 2014:23, Department of Economics, University of Venice "Ca' Foscari".
- Jonas Dovern & Hans Manner, 2020.
"Order‐invariant tests for proper calibration of multivariate density forecasts,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 440-456, June.
- Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," Graz Economics Papers 2018-09, University of Graz, Department of Economics.
- Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
- Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
- Hauzenberger Niko & Huber Florian & Koop Gary, 2024.
"Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 201-225, April.
- Niko Hauzenberger & Florian Huber & Gary Koop, "undated". "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Working Papers 2305, University of Strathclyde Business School, Department of Economics.
- Niko Hauzenberger & Florian Huber & Gary Koop, 2020. "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Papers 2005.03906, arXiv.org, revised May 2023.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015.
"Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
- Marta Bañbura & Danilo Leiva-León & Jan-Oliver Menz, 2021.
"Do inflation expectations improve model-based inflation Forecasts?,"
Working Papers
2138, Banco de España.
- Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
- Bańbura, Marta & Leiva-León, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Discussion Papers 48/2021, Deutsche Bundesbank.
- Mónica Correa-López & Matías Pacce & Kathi Schlepper, 2019. "Exploring trend inFLation dynamics in Euro Area countries," Working Papers 1909, Banco de España.
- Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016.
"Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR,"
Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 86-100.
- Dovern, Jonas & Feldkircher, Martin & Huber , Florian, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 0590, University of Heidelberg, Department of Economics.
- Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
- David Alaminos & M. Belén Salas & Manuel A. Fernández-Gámez, 2022. "Quantum Computing and Deep Learning Methods for GDP Growth Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 803-829, February.
- Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
- Huber, Florian, 2016. "Density forecasting using Bayesian global vector autoregressions with stochastic volatility," International Journal of Forecasting, Elsevier, vol. 32(3), pages 818-837.
- Konstantinos Metaxoglou & Davide Pettenuzzo & Aaron Smith, 2019.
"Option-Implied Equity Premium Predictions via Entropic Tilting,"
Journal of Financial Econometrics, Oxford University Press, vol. 17(4), pages 559-586.
- Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99, Brandeis University, Department of Economics and International Business School.
- Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99R, Brandeis University, Department of Economics and International Business School, revised Aug 2016.
- Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
- Hanck, Christoph & Demetrescu, Matei & Kruse, Robinson, 2015. "Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112916, Verein für Socialpolitik / German Economic Association.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024.
"Addressing COVID-19 Outliers in BVARs with Stochastic Volatility,"
The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," Working Papers 21-02R, Federal Reserve Bank of Cleveland, revised 09 Aug 2021.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
- Rossi, Barbara & Sekhposyan, Tatevik, 2019.
"Alternative tests for correct specification of conditional predictive densities,"
Journal of Econometrics, Elsevier, vol. 208(2), pages 638-657.
- Barbara Rossi & Tatevik Sekhposyan, 2014. "Alternative tests for correct specification of conditional predictive densities," Economics Working Papers 1416, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2017.
- Barbara Rossi & Tatevik Sekhposyan, 2015. "Alternative Tests for Correct Specification of Conditional Predictive Densities," Working Papers 758, Barcelona School of Economics.
- Martin, Gael M. & Loaiza-Maya, Rubén & Maneesoonthorn, Worapree & Frazier, David T. & Ramírez-Hassan, Andrés, 2022.
"Optimal probabilistic forecasts: When do they work?,"
International Journal of Forecasting, Elsevier, vol. 38(1), pages 384-406.
- Gael M. Martin & Rub'en Loaiza-Maya & David T. Frazier & Worapree Maneesoonthorn & Andr'es Ram'irez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Papers 2009.09592, arXiv.org.
- Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
- Chiara Scotti, 2023. "Financial Shocks in an Uncertain Economy," Working Papers 2308, Federal Reserve Bank of Dallas.
- Antonello D’Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2016.
"Nowcasting Business Cycles: A Bayesian Approach to Dynamic Heterogeneous Factor Models,"
Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 569-594,
Emerald Group Publishing Limited.
- Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
- Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
- Piergiorgio Alessandri & Haroon Mumtaz, 2021.
"The Macroeconomic Cost of Climate Volatility,"
Working Papers
928, Queen Mary University of London, School of Economics and Finance.
- Piergiorgio Alessandri & Haroon Mumtaz, 2022. "The macroeconomic cost of climate volatility," BCAM Working Papers 2202, Birkbeck Centre for Applied Macroeconomics.
- Piergiorgio Alessandri & Haroon Mumtaz, 2021. "The macroeconomic cost of climate volatility," Papers 2108.01617, arXiv.org, revised Feb 2022.
- Timmermann, Allan & Pettenuzzo, Davide & Valkanov, Rossen, 2014.
"A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics,"
CEPR Discussion Papers
10160, C.E.P.R. Discussion Papers.
- Davide Pettenuzzo & Rossen Valkanov & Allan Timmermann, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," Working Papers 76, Brandeis University, Department of Economics and International Business School.
- Louzis Dimitrios P., 2016.
"Steady-state priors and Bayesian variable selection in VAR forecasting,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
- Dimitrios P. Louzis, 2015. "Steady-state priors and Bayesian variable selection in VAR forecasting," Working Papers 195, Bank of Greece.
- Berg, Tim O. & Henzel, Steffen R., 2015.
"Point and density forecasts for the euro area using Bayesian VARs,"
International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
- Berg, Tim Oliver & Henzel, Steffen, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79783, Verein für Socialpolitik / German Economic Association.
- Tim Oliver Berg & Steffen Henzel, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," ifo Working Paper Series 155, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Tim Oliver Berg & Steffen Henzel, 2014. "Point and Density Forecasts for the Euro Area Using Bayesian VARs," CESifo Working Paper Series 4711, CESifo.
- Gary Koop & Stuart McIntyre & James Mitchell, 2018.
"UK regional nowcasting using a mixed frequency vector autoregressive model,"
Working Papers
1805, University of Strathclyde Business School, Department of Economics.
- Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
- Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016.
"Assessing the economic value of probabilistic forecasts in the presence of an inflation target,"
Reserve Bank of New Zealand Discussion Paper Series
DP2016/10, Reserve Bank of New Zealand.
- Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024.
"Large Order-Invariant Bayesian VARs with Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
- Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2021. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Papers 2111.07225, arXiv.org.
- Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2016.
"Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 118-127, January.
- Marcellino, Massimiliano & Venditti, Fabrizio & Porqueddu, Mario, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," CEPR Discussion Papers 9334, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," Temi di discussione (Economic working papers) 896, Bank of Italy, Economic Research and International Relations Area.
- Davide Pettenuzzo & Allan Timmermann, 2017.
"Forecasting Macroeconomic Variables Under Model Instability,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 183-201, April.
- Timmermann, Allan & Pettenuzzo, Davide, 2016. "Forecasting Macroeconomic Variables under Model Instability," CEPR Discussion Papers 11355, C.E.P.R. Discussion Papers.
- Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers 2404.02671, arXiv.org, revised Nov 2024.
- Chan, Joshua C.C., 2023.
"Comparing stochastic volatility specifications for large Bayesian VARs,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
- Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2024.
"Capturing Macro‐Economic Tail Risks with Bayesian Vector Autoregressions,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1099-1127, August.
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- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
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"A New Approach to Identifying the Real Effects of Uncertainty Shocks,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
- Minchul Shin & Molin Zhong, 2016. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series 2016-040, Board of Governors of the Federal Reserve System (U.S.).
- Knotek, Edward S. & Zaman, Saeed, 2023.
"Real-time density nowcasts of US inflation: A model combination approach,"
International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
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- Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
- Davide Pettenuzzo & Francesco Ravazzolo, 2016.
"Optimal Portfolio Choice Under Decision‐Based Model Combinations,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
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- Davide Pettenuzzo & Francesco Ravazzolo, 2015. "Optimal Portfolio Choice under Decision-Based Model Combinations," Working Papers No 9/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
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"Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility,"
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- Maheu, John M & Song, Yong & Yang, Qiao, 2018. "Oil Price Shocks and Economic Growth: The Volatility Link," MPRA Paper 83999, University Library of Munich, Germany.
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- Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
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"Combined Density Nowcasting in an Uncertain Economic Environment,"
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"Dynamic effects of monetary policy shocks on macroeconomic volatility,"
Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
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- Haroon Mumtaz & Konstantinos Theodoridis, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 760, Queen Mary University of London, School of Economics and Finance.
- Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
- Konstantinos Theodoridis & Haroon Mumtaz, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 101219932, Lancaster University Management School, Economics Department.
- Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019.
"Bayesian compressed vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103, Brandeis University, Department of Economics and International Business School.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103R, Brandeis University, Department of Economics and International Business School, revised Apr 2016.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2017. "Bayesian Compressed Vector Autoregressions," Working Paper series 17-32, Rimini Centre for Economic Analysis.
- Karlsson, Sune, 2013.
"Forecasting with Bayesian Vector Autoregression,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897,
Elsevier.
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- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023.
"Nowcasting in a pandemic using non-parametric mixed frequency VARs,"
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"Sparse Bayesian vector autoregressions in huge dimensions,"
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"Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts,"
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"Macroeconomic forecasting in times of crises,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
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Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
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Journal of Econometrics, Elsevier, vol. 236(1).
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"Identifying and estimating the effects of unconventional monetary policy in the data: How to do It and what have we learned?,"
Economics Working Papers
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"A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior,"
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"Amortized Neural Networks for Agent-Based Model Forecasting,"
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"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
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"Predicting crypto‐currencies using sparse non‐Gaussian state space models,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 627-640, September.
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"Have Standard VARS Remained Stable Since the Crisis?,"
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"Trend Fundamentals and Exchange Rate Dynamics,"
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"Losing Track of the Asset Markets: the Case of Housing and Stock,"
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"Composite likelihood methods for large Bayesian VARs with stochastic volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 692-711, September.
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"Density forecast combinations: The real‐time dimension,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1153-1172, August.
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"Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models,"
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"COVID-19 and output in Japan,"
The Japanese Economic Review, Springer, vol. 72(4), pages 609-650, October.
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"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
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"Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure,"
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"An automated prior robustness analysis in Bayesian model comparison,"
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Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
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