Estimating and Accounting for the Output Gap with Large Bayesian Vector Autoregressions
Citations
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Cited by:
- Berger, Tino & Richter, Julia & Wong, Benjamin, 2022.
"A unified approach for jointly estimating the business and financial cycle, and the role of financial factors,"
Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
- Tino Berger & Julia Richter & Benjamin Wong, 2020. "Financial Factors and the Business Cycle," CAMA Working Papers 2020-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
- Tino Berger & Julia Richter & Benjamin Wong, 2021. "A Unified Approach for Jointly Estimating the Business and Financial Cycle, and the Role of Financial Factors," Monash Econometrics and Business Statistics Working Papers 4/21, Monash University, Department of Econometrics and Business Statistics.
- Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," Working Papers 02/2021, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
- Berger, Tino & Morley, James & Wong, Benjamin, 2023.
"Nowcasting the output gap,"
Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
- Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the Output Gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Constantinescu, Mihnea & Nguyen, Anh Dinh Minh, 2021. "A century of gaps: Untangling business cycles from secular trends," Economic Modelling, Elsevier, vol. 100(C).
- Cubadda, Gianluca & Grassi, Stefano & Guardabascio, Barbara, 2025.
"The time-varying Multivariate Autoregressive Index model,"
International Journal of Forecasting, Elsevier, vol. 41(1), pages 175-190.
- G. Cubadda & S. Grassi & B. Guardabascio, 2022. "The Time-Varying Multivariate Autoregressive Index Model," Papers 2201.07069, arXiv.org.
- Gianluca Cubadda & Stefano Grassi & Barbara Guardabascio, 2024. "The Time-Varying Multivariate Autoregressive Index Model," CEIS Research Paper 571, Tor Vergata University, CEIS, revised 10 Jan 2024.
- Alessandro Barbarino & Travis J. Berge & Andrea Stella, 2024. "The stability and economic relevance of output gap estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1065-1081, September.
- Ochsner, Christian & Other, Lars & Thiel, Esther & Zuber, Christopher, 2024. "Demographic aging and long-run economic growth in Germany," Working Papers 02/2024, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
- Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2020. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability and Cyclical Sensitivity," Working Paper 2020/7, Norges Bank.
- Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
- Murasawa Yasutomo, 2022.
"Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 387-415, June.
- Murasawa, Yasutomo, 2019. "Bayesian multivariate Beveridge--Nelson decomposition of I(1) and I(2) series with cointegration," MPRA Paper 91979, University Library of Munich, Germany.
- Dubbert, Tore & Kempa, Bernd, 2024. "Nowcasting the output gap with shadow rates," Economics Letters, Elsevier, vol. 236(C).
- Emmanouil Sofianos & Christos Alexakis & Periklis Gogas & Theophilos Papadimitriou, 2025.
"Machine learning forecasting in the macroeconomic environment: the case of the US output gap,"
Economic Change and Restructuring, Springer, vol. 58(1), pages 1-19, February.
- Emmanouil Sofianos & Christos Alexakis & Periklis Gogas & Theophilos Papadimitriou, 2025. "Machine learning forecasting in the macroeconomic environment: the case of the US output gap," Post-Print hal-04885268, HAL.
- Manuel González-Astudillo & John M. Roberts, 2022. "When are trend–cycle decompositions of GDP reliable?," Empirical Economics, Springer, vol. 62(5), pages 2417-2460, May.
- Tino Berger & Tore Dubbert, 2022. "Government spending effects on the business cycle in times of crisis," CQE Working Papers 10022, Center for Quantitative Economics (CQE), University of Muenster.
- Christian Ochsner & Christopher Zuber, 2022. "Die Konjunkturbereinigung der Schuldenbremse: ein Plädoyer für methodische Reformen [The Cyclical Adjustment Procedure of the German Debt Brake: a Plea for Methodical Reforms]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(11), pages 822-825, November.
- Chalmovianský, Jakub & Němec, Daniel, 2022. "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, vol. 116(C).
- Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2023. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability, Cyclical Sensitivity and Hysteresis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 238-267, February.
- Josefine Quast & Maik H. Wolters, 2023.
"The Federal Reserve's output gap: The unreliability of real‐time reliability tests,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1101-1111, November.
- Quast, Josefine & Wolters, Maik H., 2023. "The Federal Reserve's output gap: The unreliability of real-time realiability tests," IMFS Working Paper Series 179, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Kamber, Güneş & Wong, Benjamin, 2020.
"Global factors and trend inflation,"
Journal of International Economics, Elsevier, vol. 122(C).
- Güneş Kamber & Benjamin Wong, 2018. "Global Factors and Trend Inflation," Reserve Bank of New Zealand Discussion Paper Series DP2018/01, Reserve Bank of New Zealand.
- Güneş Kamber & Benjamin Wong, 2018. "Global factors and trend inflation," BIS Working Papers 688, Bank for International Settlements.
- Gunes Kamber & Benjamin Wong, 2019. "Global Factors and Trend Inflation," CAMA Working Papers 2019-62, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Morley, James & Rodríguez-Palenzuela, Diego & Sun, Yiqiao & Wong, Benjamin, 2023.
"Estimating the euro area output gap using multivariate information and addressing the COVID-19 pandemic,"
European Economic Review, Elsevier, vol. 153(C).
- Morley, James & Palenzuela, Diego Rodriguez & Sun, Yiqiao & Wong, Benjamin, 2022. "Estimating the Euro Area output gap using multivariate information and addressing the COVID-19 pandemic," Working Paper Series 2716, European Central Bank.
- Alessandro Barbarino & Travis J. Berge & Han Chen & Andrea Stella, 2020. "Which Output Gap Estimates Are Stable in Real Time and Why?," Finance and Economics Discussion Series 2020-102, Board of Governors of the Federal Reserve System (U.S.).
- Chan, Joshua C.C. & Yu, Xuewen, 2022.
"Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C. C. Chan & Xuewen Yu, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers 2206.08438, arXiv.org.
- Tino Berger & Lorenzo Pozzi, 2023. "Cyclical consumption," Tinbergen Institute Discussion Papers 23-064/VI, Tinbergen Institute.
- Ilya Zverev & Nadezhda Kislyak, 2025. "Estimating the Output Gap of the Russian Economy: A Multivariate Approach Based on BVAR and the Beveridge–Nelson Filter," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 22-46, December.
- Tore Dubbert & Adrian Schroeder, 2025. "Conditioning business and financial cycles on multivariate information," CQE Working Papers 11225, Center for Quantitative Economics (CQE), University of Muenster.
- Bassi, Federico, 2024. "Excess capacity and hysteresis in EU Countries. A structural approach," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 116-134.
- Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
- Fu, Bowen, 2023. "Measuring the trend real interest rate in a data-rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
- Daniel Parra-Amado & Camilo Granados, 2025. "Output Gap Measurement after COVID for Colombia: Lessons from a Permanent-Transitory Approach," Borradores de Economia 1295, Banco de la Republica de Colombia.
- Ioannis D. Vrontos & John Galakis & Ekaterini Panopoulou & Spyridon D. Vrontos, 2024. "Forecasting GDP growth: The economic impact of COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1042-1086, July.
- Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
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