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Determinants of disagreement : learning from inflation expectations survey of households
Singh, Gaurav Kumar; Bandyopadhyay, Tathagata - In: Journal of forecasting 43 (2024) 2, pp. 326-343
Persistent link: https://www.econbiz.de/10014475320
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An evaluation of the inflation forecasting performance of the European Central Bank, the Federal Reserve, and the Bank of England
Argiri, Eleni; Hall, Stephen G.; Momtsia, Angeliki; … - In: Journal of forecasting 43 (2024) 4, pp. 932-947
Persistent link: https://www.econbiz.de/10014554051
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Central bank information and private-sector expectations
Güntner, Jochen - In: Journal of forecasting 41 (2022) 7, pp. 1372-1385
Persistent link: https://www.econbiz.de/10013465700
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Uncertainties and disagreements in expectations of professional forecasters : evidence from an inflation targeting developing country
Montes, Gabriel Caldas; Marcelino, Igor Mendes - In: Journal of forecasting 42 (2023) 4, pp. 937-956
Persistent link: https://www.econbiz.de/10014292885
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Measuring disagreement in qualitative expectations
Mokinski, Frieder; Sheng, Xuguang; Yang, Jingyun - In: Journal of forecasting 34 (2015) 5, pp. 405-426
Persistent link: https://www.econbiz.de/10011318291
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The effects of shocks to interest rate expectations in the euro area : estimates at the country level
Mandler, Martin; Scharnagl, Michael - In: Journal of forecasting 42 (2023) 3, pp. 643-656
Persistent link: https://www.econbiz.de/10014292222
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Exploring survey-based inflation forecasts
Gil-Alaña, Luis A.; Moreno, Antonio; Pérez De Garcia, … - In: Journal of forecasting 31 (2012) 6, pp. 524-539
Persistent link: https://www.econbiz.de/10009661522
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The informational content of the term spread in forecasting the US inflation rate : a nonlinear approach
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Journal of forecasting 36 (2017) 2, pp. 109-121
Persistent link: https://www.econbiz.de/10011729092
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How we missed the inflation surge : an anatomy of post-2020 inflation forecast errors
Koch, Christoffer; Noureldin, Diaa - In: Journal of forecasting 43 (2024) 4, pp. 852-870
Persistent link: https://www.econbiz.de/10014554043
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Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David; Duca, John V. - In: Journal of forecasting 43 (2024) 4, pp. 894-902
Persistent link: https://www.econbiz.de/10014554047