Why Has U.S. Inflation Become Harder to Forecast?

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1. Bernanke: Inflation Expectations and Inflation Forecasting
   by Mark Thoma in Economist's View on 2007-07-11 01:08:00

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1. > Econometrics > Time Series Models > VAR Models > Time Varying Parameters and Stochastic Volatility

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Cited by:

1. Jonas D. M. Fisher & Leonardo Melosi & Sebastian Rast, 2025. "Long-Run Inflation Expectations," Working Papers 829, DNB.
2. Paul Hubert, 2015. "Do Central Bank Forecasts Influence Private Agents? Forecasting Performance versus Signals," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(4), pages 771-789, June.
   • Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
   • Paul Hubert, 2011. "Do central banks forecast influence private agents ? Forecasting performance vs. signals," Documents de Travail de l'OFCE 2011-20, Observatoire Francais des Conjonctures Economiques (OFCE).
3. Marvin Goodfriend & Robert G. King, 2013. "The Great Inflation Drift," NBER Chapters, in: The Great Inflation: The Rebirth of Modern Central Banking, pages 181-209, National Bureau of Economic Research, Inc.
   • Marvin Goodfriend & Robert G. King, 2009. "The Great Inflation Drift," NBER Working Papers 14862, National Bureau of Economic Research, Inc.
4. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
5. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
   • Pablo Guerrón-Quintana, 2010. "The implications of inflation in an estimated New-Keynesian model," Working Papers 10-2, Federal Reserve Bank of Philadelphia.
6. Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
   • Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2013. "Inflation and the Steeplechase Between Economic Activity Variables," Working Papers 2013/15, Czech National Bank, Research and Statistics Department.
7. Kristin Forbes, 2019. "Has globalization changed the inflation process?," BIS Working Papers 791, Bank for International Settlements.
8. Laura Inés D’Amato, 2013. "Introduction," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Inflationary Dynamics, Persistence, and Prices and Wages Formation, edition 1, volume 1, chapter 1, pages 1-8, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
9. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
   • Bill Russell, 2007. "Non-Stationary Inflation and Panel Estimates of United States Short and Long-run Phillips curves," Dundee Discussion Papers in Economics 200, Economic Studies, University of Dundee.
10. Mariano Kulish & Adrian Pagan, 2017. "Estimation and Solution of Models with Expectations and Structural Changes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 255-274, March.
    • Mariano Kulish & Adrian Pagan, 2012. "Estimation and Solution of Models with Expectations and Structural Changes," RBA Research Discussion Papers rdp2012-08, Reserve Bank of Australia.
    • Kulish, Mariano & Pagan, Adrian, 2014. "Estimation and Solution of Models with Expectations and Structural Changes," Dynare Working Papers 34, CEPREMAP.
    • Mariano Kulish & Adrian Pagan, 2014. "Estimation and Solution of Models with Expectations and Structural Changes," CAMA Working Papers 2014-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
11. Christine Garnier & Elmar Mertens & Edward Nelson, 2015. "Trend Inflation in Advanced Economies," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 65-136, September.
    • Christine Garnier & Elmar Mertens & Edward Nelson, 2013. "Trend inflation in advanced economies," Finance and Economics Discussion Series 2013-74, Board of Governors of the Federal Reserve System (U.S.).
12. Yunus Aksoy & Rubens Morita & Zacharias Psaradakis, 2019. "The Chair of the U.S. Federal Reserve and the Macroeconomic Causality Regimes," BCAM Working Papers 1910, Birkbeck Centre for Applied Macroeconomics.
    • Yunus Aksoy & Rubens Morita & Zacharias Psaradakis, 2019. "The Chair of the U.S. Federal Reserve and the Macroeconomic Causality Regimes," CESifo Working Paper Series 8035, CESifo.
13. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    • Bańbura, Marta & Bobeica, Elena, 2020. "Does the Phillips curve help to forecast euro area inflation?," Working Paper Series 2471, European Central Bank.
14. Michael Dotsey & Shigeru Fujita & Tom Stark, 2018. "Do Phillips Curves Conditionally Help to Forecast Inflation?," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 43-92, September.
    • Michael Dotsey & Shigeru Fujita & Tom Stark, 2011. "Do Phillips curves conditionally help to forecast inflation?," Working Papers 11-40, Federal Reserve Bank of Philadelphia.
    • Michael Dotsey & Shigeru Fujita & Tom Stark, 2015. "Do Phillips curves conditionally help to forecast inflation?," Working Papers 15-16, Federal Reserve Bank of Philadelphia.
    • Michael Dotsey & Shigeru Fujita & Tom Stark, 2017. "Do Phillips Curves Conditionally Help to Forecast Inflation?," Working Papers 17-26, Federal Reserve Bank of Philadelphia.
15. Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
16. Zeng, Zheng, 2013. "New tips from TIPS: Identifying inflation expectations and the risk premia of break-even inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 125-139.
17. Proietti, Tommaso, 2011. "Direct and iterated multistep AR methods for difference stationary processes," International Journal of Forecasting, Elsevier, vol. 27(2), pages 266-280.
    • Proietti, Tommaso, 2011. "Direct and iterated multistep AR methods for difference stationary processes," International Journal of Forecasting, Elsevier, vol. 27(2), pages 266-280, April.
    • Proietti, Tommaso, 2008. "Direct and iterated multistep AR methods for difference stationary processes," MPRA Paper 10859, University Library of Munich, Germany.
18. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
19. Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," Working Papers 789, DNB.
    • Ascari, Guido & Bonomolo, Paolo & Haque, Qazi, 2024. "The Long-Run Phillips Curve is ... a Curve," CEPR Discussion Papers 19069, C.E.P.R. Discussion Papers.
    • Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," CAMA Working Papers 2023-37, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," School of Economics and Public Policy Working Papers 2023-07 Classification-C3, University of Adelaide, School of Economics and Public Policy.
    • Guido Ascari & Paolo Bonomolo & Qazi Haque, 2023. "The Long-Run Phillips Curve is ... a Curve," DEM Working Papers Series 213, University of Pavia, Department of Economics and Management.
20. Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-18, March.
    • Wojciech Charemza & Carlos Díaz & Svetlana Makarova, 2015. "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Discussion Papers in Economics 15/07, Division of Economics, School of Business, University of Leicester.
21. Szafranek, Karol, 2017. "Flattening of the New Keynesian Phillips curve: Evidence for an emerging, small open economy," Economic Modelling, Elsevier, vol. 63(C), pages 334-348.
    • Karol Szafranek, 2016. "Linking excessive disinflation and output movements in an emerging, small open economy A hybrid New Keynesian Phillips Curve perspective," NBP Working Papers 239, Narodowy Bank Polski.
22. Ramis Khabibullin, 2019. "What measures of real economic activity slack are helpful for forecasting Russian inflation?," Bank of Russia Working Paper Series wps50, Bank of Russia.
23. Patrick Higgins & Julie L Hotchkiss & Ellyn Terry, 2019. "Evolution of Behavior, Uncertainty, and the Difficulty of Predicting Labor Force Participation," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 157-178, December.
24. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2014. "Forecasting with factor-augmented error correction models," International Journal of Forecasting, Elsevier, vol. 30(3), pages 589-612.
    • Banerjee, Anindya & Marcellino, Massimiliano, 2008. "Factor-augmented Error Correction Models," CEPR Discussion Papers 6707, C.E.P.R. Discussion Papers.
    • Igor Masten & Massimiliano Marcellino & Anindya Banerjeey, 2009. "Forecasting with Factor-augmented Error Correction Models," RSCAS Working Papers 2009/32, European University Institute.
    • Anindya Banerjee & Massimiliano Marcellino, 2008. "Factor-augmented Error Correction Models," Working Papers 335, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    • Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2009. "Forecasting with Factor-Augmented Error Correction Models," Discussion Papers 09-06r, Department of Economics, University of Birmingham.
    • Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2010. "Forecasting with Factor-augmented Error Correction Models," CEPR Discussion Papers 7677, C.E.P.R. Discussion Papers.
    • Anindya Banerjee & Massimiliano Marcellino, 2008. "Factor-augmented Error Correction Models," Economics Working Papers ECO2008/15, European University Institute.
25. Hayo, Bernd & Neuenkirch, Matthias, 2013. "Do Federal Reserve presidents communicate with a regional bias?," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 62-72.
    • Bernd Hayo & Matthias Neuenkirch, 2011. "Do Federal Reserve Presidents Communicate with a Regional Bias?," MAGKS Papers on Economics 201103, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
26. 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.
27. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
    • Atsushi Inoue & Lu Jin & Barbara Rossi, 2014. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Economics Working Papers 1435, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2016.
    • Lu Jin & Atsushi Inoue & Barbara Rossi, 2015. "Rolling Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters," Working Papers 768, Barcelona School of Economics.
28. Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2016. "The implications of liquidity expansion in China for the US dollar," CAMA Working Papers 2016-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Kang, Wensheng & Ratti, Ronald. A. & Vespignani, Joaquin, 2016. "The implications of liquidity expansion in China for the US dollar," Working Papers 2016-02, University of Tasmania, Tasmanian School of Business and Economics.
    • Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2016. "The implications of liquidity expansion in China for the US dollar," Globalization Institute Working Papers 264, Federal Reserve Bank of Dallas.
29. 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.
30. Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
    • Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
31. Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.
32. Meyer, Brent H. & Sheng, Xuguang Simon, 2025. "Unit cost expectations: Firms’ perspectives on inflation," European Economic Review, Elsevier, vol. 174(C).
33. James McNeil & Gregor W. Smith, 2023. "The All‐Gap Phillips Curve," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 269-282, April.
    • James McNeil & Gregor W. Smith, 2022. "The All-Gap Phillips Curve," Working Paper 1488, Economics Department, Queen's University.
34. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
35. Arratibel, Olga & Leiner-Killinger, Nadine & Kamps, Christophe, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
36. Livia Paranhos, 2021. "Predicting Inflation with Recurrent Neural Networks," Papers 2104.03757, arXiv.org, revised Oct 2023.
37. Clark, Todd E. & Davig, Troy, 2011. "Decomposing the declining volatility of long-term inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 981-999, July.
    • Todd E. Clark & Troy Davig, 2009. "Decomposing the declining volatility of long-term inflation expectations," Research Working Paper RWP 09-05, Federal Reserve Bank of Kansas City.
38. Patrick Feve & Julien Matheron & Guillaume Sahuc, 2010. "Désinflation et chômage dans la zone euro : une analyse à l'aide d'un modèle var structurel," Annals of Economics and Statistics, GENES, issue 99-100, pages 365-394.
    • Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Désinflation et chômage dans la zone euro: une analyse à l'aide d'un modèle VAR structurel," TSE Working Papers 09-014, Toulouse School of Economics (TSE).
    • Patrick Fève & Julien Matheron & Jean-Guillaume Sahuc, 2011. "Désinflation et Chômage dans la Zone Euro : Une Analyse à l’Aide d’un Modèle VAR Structurel," Post-Print hal-01612719, HAL.
39. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
40. Mikael Juselius & Claudio Borio & Piti Disyatat & Mathias Drehmann, 2017. "Monetary Policy, the Financial Cycle, and Ultra-Low Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 55-89, September.
    • Juselius, Mikael & Borio, Claudio & Disyatat, Piti & Drehmann, Mathias, 2016. "Monetary policy, the financial cycle and ultralow interest rates," Bank of Finland Research Discussion Papers 24/2016, Bank of Finland.
    • Mikael Juselius & Claudio Borio & Piti Disyatat & Mathias Drehmann, 2017. "Monetary Policy, the Financial Cycle and Ultra-low Interest Rates," PIER Discussion Papers 55, Puey Ungphakorn Institute for Economic Research.
    • Mikael Juselius & Claudio Borio & Piti Disyatat & Mathias Drehmann, 2016. "Monetary policy, the financial cycle and ultra-low interest rates," BIS Working Papers 569, Bank for International Settlements.
41. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
    • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Papers No 03/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
42. Carriero, Andrea & Galvão, Ana Beatriz & Kapetanios, George, 2019. "A comprehensive evaluation of macroeconomic forecasting methods," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1226-1239.
43. Qazi Haque, 2022. "Monetary Policy, Inflation Target, and the Great Moderation: An Empirical Investigation," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    • Qazi Haque, 2017. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-13, University of Adelaide, School of Economics and Public Policy.
    • Qazi Haque, 2019. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," Economics Discussion / Working Papers 19-10, The University of Western Australia, Department of Economics.
    • Qazi Haque, 2019. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," CAMA Working Papers 2019-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
44. Amaze Lusompa & Sai Sattiraju, 2023. "Will High Underlying Inflation Persist?," Economic Bulletin, Federal Reserve Bank of Kansas City, pages 1-4, May.
45. Diego Ferreira & Andreza Aparecida Palma, 2018. "Inflation And Inflation Uncertainty In Latin America: A Time-Varying Stochastic Volatility In Mean Approach," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 125, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
46. Tänzer, Alina, 2024. "Multivariate macroeconomic forecasting: From DSGE and BVAR to artificial neural networks," IMFS Working Paper Series 205, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
47. Pierre Perron & Yohei Yamamoto, 2008. "Estimating and Testing Multiple Structural Changes in Models with Endogenous Regressors," Boston University - Department of Economics - Working Papers Series wp2008-017, Boston University - Department of Economics.
48. Muellbauer, John & Aron, Janine & Sebudde, Rachel, 2015. "Inflation forecasting models for Uganda: is mobile money relevant?," CEPR Discussion Papers 10739, C.E.P.R. Discussion Papers.
    • Janine Aron & John Muellbauer & Rachel Sebudde, 2015. "Inflation forecasting models for Uganda: is mobile money relevant?," CSAE Working Paper Series 2015-17, Centre for the Study of African Economies, University of Oxford.
49. Doojav Gan-Ochir & Luvsannyam Davaajargal, 2023. "Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 27-48, January.
    • Doojav, Gan-Ochir & Luvsannyam, Davaajargal, 2017. "Forecasting inflation in Mongolia: A dynamic model averaging approach," MPRA Paper 102602, University Library of Munich, Germany.
50. Del Boca, Alessandra & Fratianni, Michele & Spinelli, Franco & Trecroci, Carmine, 2010. "The Phillips curve and the Italian lira, 1861-1998," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 182-197, August.
    • Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2008. "The Phillips Curve and the Italian Lira, 1861-1998," Mo.Fi.R. Working Papers 8, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    • Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2008. "The Phillips Curve and the Italian Lira, 1861-1998," Working Papers 2008-05, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    • Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2009. "The Phillips curve and the Italian lira, 1861-1998," Working Papers 0908, University of Brescia, Department of Economics.
51. Afees A. Salisu & Kazeem O. Isah & Idris Ademuyiwa, 2017. "Testing for asymmetries in the predictive model for oil price-inflation nexus," Economics Bulletin, AccessEcon, vol. 37(3), pages 1797-1804.
52. Jalles, Joao Tovar, 2019. "Crises and emissions: New empirical evidence from a large sample," Energy Policy, Elsevier, vol. 129(C), pages 880-895.
    • João Tovar Jalles, 2019. "Crises and Emissions: New Empirical Evidence from a Large Sample," Working Papers REM 2019/83, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
53. D'Agostino, Antonello & McQuinn, Kieran & O' Reilly, Gerard, 2008. "Identifying and Forecasting House Price Dynamics in Ireland," Research Technical Papers 3/RT/08, Central Bank of Ireland.
54. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    • Joshua C.C. Chan & Angelia L. Grant, 2015. "A Bayesian model comparison for trend-cycle decompositions of output," CAMA Working Papers 2015-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
55. Claudiu T. Albulescu & Aviral Kumar Twari & Stephen M. Miller & Rangan Gupta, 2015. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working Papers 201591, University of Pretoria, Department of Economics.
    • Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Stephen M. Miller & Rangan Gupta, 2016. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working papers 2016-12, University of Connecticut, Department of Economics.
56. Christian Bauer & Sebastian Weber, 2016. "The Efficiency of Monetary Policy when Guiding Inflation Expectations," Research Papers in Economics 2016-14, University of Trier, Department of Economics.
57. Luca Benati, 2008. "The "Great Moderation" in the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(1), pages 121-147, February.
    • Luca Benati, 2008. "The “Great Moderation” in the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(1), pages 121-147, February.
    • Benati, Luca, 2007. "The "Great Moderation" in the United Kingdom," Working Paper Series 769, European Central Bank.
58. Cars Hommes & Kostas Mavromatis & Tolga Ozden & Mei Zhu, 2019. "Behavioral learning equilibria in the New Keynesian model," DNB Working Papers 654, Netherlands Central Bank, Research Department.
59. Juan Angel Garcia & Aubrey Poon, 2022. "Inflation trends in Asia: implications for central banks [Are Phillips curves useful for forecasting inflation?]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 671-700.
    • García, Juan Angel & Poon, Aubrey, 2019. "Inflation trends in Asia: implications for central banks," Working Paper Series 2338, European Central Bank.
60. Kitsul, Yuriy & Wright, Jonathan H., 2013. "The economics of options-implied inflation probability density functions," Journal of Financial Economics, Elsevier, vol. 110(3), pages 696-711.
    • Jonathan Wright & Yuriy Kitsul, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," 2012 Meeting Papers 174, Society for Economic Dynamics.
    • Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," NBER Working Papers 18195, National Bureau of Economic Research, Inc.
    • Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," Economics Working Paper Archive 600, The Johns Hopkins University,Department of Economics.
61. Christopher G. Gibbs, 2017. "Forecast combination, non-linear dynamics, and the macroeconomy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(3), pages 653-686, March.
    • Christopher Gibbs, 2015. "Forecast Combination, Non-linear Dynamics, and the Macroeconomy," Discussion Papers 2015-05, School of Economics, The University of New South Wales.
62. De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2013. "Euro area money demand and international portfolio allocation: A contribution to assessing risks to price stability," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 377-404.
    • De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2008. "Euro area money demand and international portfolio allocation: a contribution to assessing risks to price stability," Working Paper Series 926, European Central Bank.
    • Roberto A. De Santis & Carlo A. Favero & Barbara Roffia, 2012. "Euro Area Money Demand and International Portfolio Allocation: A Contribution to Assessing Risks to Price Stability," Working Papers 432, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    • Favero, Carlo A. & De Santis, Roberto A & Roffia, Barbara, 2012. "Euro Area Money Demand and International Portfolio Allocation: A Contribution to Assessing Risks to Price Stability," CEPR Discussion Papers 8957, C.E.P.R. Discussion Papers.
63. Francisco Arizala & Jesus Gonzalez-Garcia & Charalambos G. Tsangarides & Mustafa Yenice, 2021. "The impact of fiscal consolidations on growth in sub-Saharan Africa," Empirical Economics, Springer, vol. 61(1), pages 1-33, July.
    • Francisco Arizala & Mr. Jesus R Gonzalez-Garcia & Mr. Charalambos G Tsangarides & Mustafa Yenice, 2017. "The Impact of Fiscal Consolidations on Growth in Sub-Saharan Africa," IMF Working Papers 2017/281, International Monetary Fund.
64. Fan, Longzhen & Tian, Shu & Zhang, Chu, 2012. "Why are excess returns on China’s Treasury bonds so predictable? The role of the monetary system," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 239-248.
65. Salvatore Perdichizzi, 2017. "Estimating Fiscal multipliers in the Eurozone. A Nonlinear Panel Data Approach," DISCE - Working Papers del Dipartimento di Economia e Finanza def058, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
66. Altug, Sumru & Çakmaklı, Cem, 2016. "Forecasting inflation using survey expectations and target inflation: Evidence for Brazil and Turkey," International Journal of Forecasting, Elsevier, vol. 32(1), pages 138-153.
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766. Massimiliano Marcellino, 2008. "A linear benchmark for forecasting GDP growth and inflation?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 305-340.
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768. Michal Franta & Branislav Saxa & Kateøina Šmídková, 2010. "The Role of Inflation Persistence in the Inflation Process in the New EU Member States," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 480-500, December.
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783. Afees A. Salisu & Raymond Swaray & Idris Adediran, 2018. "Improving the predictability of commodity prices in US inflation: The role of coffee price," Working Papers 041, Centre for Econometric and Allied Research, University of Ibadan.
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785. Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
786. Wei Wei & Asger Lunde, 2020. "Identifying Risk Factors and Their Premia: A Study on Electricity Prices," Monash Econometrics and Business Statistics Working Papers 10/20, Monash University, Department of Econometrics and Business Statistics.
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790. Kirstin Hubrich & Frauke Skudelny, 2017. "Forecast Combination for Euro Area Inflation: A Cure in Times of Crisis?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 515-540, August.
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791. Nicholas Fawcett & George Kapetanios & James Mitchell & Simon Price, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
792. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
793. Barros, Fernando & Gomes, Fábio Augusto R. & Luduvice, André Victor D., 2024. "The welfare costs of business cycles unveiled: Measuring the extent of stabilization policies," European Economic Review, Elsevier, vol. 169(C).
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794. Nakajima, Jouchi, 2022. "Macroeconomic uncertainty matters: A nonlinear effect of financial volatility on real economic activity," Discussion paper series HIAS-E-121, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
795. Takushi Kurozumi & Willem Van Zandweghe, 2023. "A Theory of Intrinsic Inflation Persistence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 1961-2000, December.
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796. Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016. "Testing for time variation in an unobserved components model for the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
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797. Chernov, Mikhail & Mueller, Philippe, 2012. "The term structure of inflation expectations," Journal of Financial Economics, Elsevier, vol. 106(2), pages 367-394.
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798. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
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799. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
800. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
801. Olivier Blanchard & Marianna Riggi, 2011. "Why are the 2000s so different from the 1970s? A structural interpretation of changes in the macroeconomic effects of oil prices in the US," Temi di discussione (Economic working papers) 835, Bank of Italy, Economic Research and International Relations Area.
802. Siliverstovs, Boriss, 2017. "Dissecting models' forecasting performance," Economic Modelling, Elsevier, vol. 67(C), pages 294-299.
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803. Tsyplakov, Alexander, 2010. "The links between inflation and inflation uncertainty at the longer horizon," MPRA Paper 26908, University Library of Munich, Germany.
804. Nguyen Duc Do, 2025. "Using a Wage–Price‐Setting Model to Forecast US Inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 803-832, March.
805. Jeremy J. Nalewaik, 2016. "Non-Linear Phillips Curves with Inflation Regime-Switching," Finance and Economics Discussion Series 2016-078, Board of Governors of the Federal Reserve System (U.S.).
806. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
807. Orphanides, Athanasios & Wei, Min, 2012. "Evolving macroeconomic perceptions and the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 239-254.
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808. Morales-Arias, Leonardo & Moura, Guilherme V., 2010. "A conditionally heteroskedastic global inflation model," Kiel Working Papers 1666, Kiel Institute for the World Economy (IfW Kiel).
809. Conti, Antonio M., 2021. "Resurrecting the Phillips Curve in Low-Inflation Times," Economic Modelling, Elsevier, vol. 96(C), pages 172-195.
810. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
811. Pooja Kapoor & Sujata Kar, 2023. "A review of inflation expectations and perceptions research in the past four decades: a bibliometric analysis," International Economics and Economic Policy, Springer, vol. 20(2), pages 279-302, May.
812. Rochelle M. Edge & Jeremy B. Rudd, 2016. "Real-Time Properties of the Federal Reserve's Output Gap," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 785-791, October.
813. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
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814. Easaw, Joshy & Golinelli, Roberto, 2014. "Inflation Expectations and the Two Forms of Inattentiveness," Cardiff Economics Working Papers E2014/21, Cardiff University, Cardiff Business School, Economics Section.
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817. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
818. Evžen Kočenda & Balázs Varga, 2018. "The Impact of Monetary Strategies on Inflation Persistence," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 229-274, September.
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819. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
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820. Jeremy J. Nalewaik, 2015. "Regime-Switching Models for Estimating Inflation Uncertainty," Finance and Economics Discussion Series 2015-93, Board of Governors of the Federal Reserve System (U.S.).
821. Raffaella Giacomini & Jason Lu & Katja Smetanina, 2024. "Perceived shocks and impulse responses," CeMMAP working papers 21/24, Institute for Fiscal Studies.
822. Bilici, Berk & Çekin, Semih Emre, 2020. "Inflation persistence in Turkey: A TVP-estimation approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 64-69.
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825. Bowen Fu & Ivan Mendieta-Muñoz, 2025. "Trend inflation and structural shocks," Working Paper Series, Department of Economics, University of Utah 2025-01, University of Utah, Department of Economics.
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827. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
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829. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
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830. Benjamin K. Johannsen, 2014. "Inflation Experience and Inflation Expectations: Dispersion and Disagreement Within Demographic Groups," Finance and Economics Discussion Series 2014-89, Board of Governors of the Federal Reserve System (U.S.).
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835. Carola Binder & Wesley Janson & Randal Verbrugge, 2023. "Out of Bounds: Do SPF Respondents Have Anchored Inflation Expectations?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 559-576, March.
836. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
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846. Dladla, Pholile & Malikane, Christopher, 2019. "Stock return predictability: Evidence from a structural model," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 412-424.
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848. Hülya Saygılı & Aysun Türkvatan, 2023. "Tradable and non-tradable inflation in Turkey: asymmetric responses to global factors," Empirical Economics, Springer, vol. 65(2), pages 973-1006, August.
849. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
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852. Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2010. "Wage Bargaining and the Phillips Curve in Italy," Mo.Fi.R. Working Papers 41, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
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854. Adam Hale Shapiro & Daniel J Wilson, 2022. "Taking the Fed at its Word: A New Approach to Estimating Central Bank Objectives using Text Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2768-2805.
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855. Dieter Nautz & Juliane Scharff, 2012. "Inflation and relative price variability in the euro area: evidence from a panel threshold model," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 449-460, February.
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856. Ferrara, Laurent & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios, 2024. "Oil jump tail risk as a driver of inflation dynamics," Journal of Commodity Markets, Elsevier, vol. 36(C).
857. Sheremirov, Viacheslav, 2020. "Price dispersion and inflation: New facts and theoretical implications," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 59-70.
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858. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
859. Nicolò Maffei‐Faccioli, 2025. "Identifying the Sources of the Slowdown in Growth: Demand Versus Supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 181-194, March.
860. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
861. Bermingham, Colin, 2008. "Quantifying the Impact of Oil Prices on Inflation," Research Technical Papers 8/RT/08, Central Bank of Ireland.
862. De Schryder, Selien & Peersman, Gert & Wauters, Joris, 2020. "Wage indexation and the monetary policy regime," Journal of Macroeconomics, Elsevier, vol. 63(C).
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863. Arnold, Stephan & Auer, Benjamin R., 2015. "What do scientists know about inflation hedging?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 187-214.
864. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
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865. André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).
866. Abdul Abiad & Margarita Debuque-Gonzales & Andrea Loren Sy, 2018. "The Evolution and Impact of Infrastructure in Middle-Income Countries: Anything Special?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(6), pages 1239-1263, May.
867. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
868. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2020. "Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes," Open Economies Review, Springer, vol. 31(4), pages 859-879, September.
869. Jacek Kwiatkowski, 2008. "Bayesian Analysis of Polish Inflation Rates Using RCA and GLL Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 129-138.
870. Shih‐Tang Hwu & Chang‐Jin Kim, 2019. "Estimating Trend Inflation Based on Unobserved Components Model: Is It Correlated with the Inflation Gap?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2305-2319, December.
871. Alberto Coco & Nicola Viegi, 2020. "The monetary policy of the South African Reserve Bank stance communication and credibility," Working Papers 10024, South African Reserve Bank.
872. Pablo Pincheira Brown & Álvaro García Marín, 2009. "Forecasting Inflation in Chile With an Accurate Benchmark," Working Papers Central Bank of Chile 514, Central Bank of Chile.
873. Pflueger, Carolin, 2025. "Back to the 1980s or not? The drivers of inflation and real risks in Treasury bonds," Journal of Financial Economics, Elsevier, vol. 167(C).
874. Ben Zeev, Nadav & Pappa, Evi, 2015. "Multipliers of unexpected increases in defense spending: An empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 205-226.
875. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
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876. Ulrich K. Müller & Mark W. Watson, 2016. "Measuring Uncertainty about Long-Run Predictions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1711-1740.
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877. Benati, Luca, 2015. "The long-run Phillips curve: A structural VAR investigation," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 15-28.
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878. Yoichi Ueno, 2024. "Linkage between Wage and Price Inflation in Japan," Bank of Japan Working Paper Series 24-E-7, Bank of Japan.
879. Lena Boneva & James CLoyne & Martin Weale & Tomasz Wieladek, 2016. "Firms’ expectations and price-setting: evidence from micro data," Discussion Papers 48, Monetary Policy Committee Unit, Bank of England.
880. Kapetanios, G. & Mitchell, J. & Price, S. & Fawcett, N., 2015. "Generalised density forecast combinations," Journal of Econometrics, Elsevier, vol. 188(1), pages 150-165.
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     • N. Fawcett & G. Kapetanios & J. Mitchell & S. Price, 2014. "Generalised Density Forecast Combinations," CAMA Working Papers 2014-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
881. Ivan Baybuza, 2018. "Inflation Forecasting Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 42-59, December.
882. Rodion Latypov & Elena Akhmedova & Egor Postolit & Marina Mikitchuk, 2024. "Bottom-up Inflation Forecasting Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 23-44, September.
883. Laura Jaramillo & Carlos Mulas†Granados & Joao Tovar Jalles, 2017. "Debt spikes, blind spots, and financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 421-437, October.
884. Harun Özkan & M. Yazgan, 2015. "Is forecasting inflation easier under inflation targeting?," Empirical Economics, Springer, vol. 48(2), pages 609-626, March.
885. Bo Zhang, 2019. "Real‐time inflation forecast combination for time‐varying coefficient models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 175-191, April.
886. Ruhollah Eskandari & Morteza Zamanian, 2023. "Heterogeneous responses to corporate marginal tax rates: Evidence from small and large firms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1018-1047, November.
887. 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.).
888. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
     • Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
889. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
890. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
891. Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
892. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
893. Yushu Li & Hyunjoo Kim Karlsson, 2023. "Investigating the Asymmetric Behavior of Oil Price Volatility Using Support Vector Regression," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1765-1790, April.
894. Janine Aron & John Muellbauer, 2013. "New Methods for Forecasting Inflation, Applied to the US," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 637-661, October.
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895. Diego Rinallo & Suman Basuroy & Ruhai Wu & Hyo Jeon, 2013. "The Media and Their Advertisers: Exploring Ethical Dilemmas in Product Coverage Decisions," Journal of Business Ethics, Springer, vol. 114(3), pages 425-441, May.
896. David G. Blanchflower & Conall MacCoille, 2009. "The formation of inflation expectations: an empirical analysis for the UK," NBER Working Papers 15388, National Bureau of Economic Research, Inc.
897. Giovanni Nicolò, 2025. "US Monetary Policy and Indeterminacy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(2), pages 195-213, March.
898. Toshitaka Sekine & Yuki Teranishi, 2008. "Inflation Targeting and Monetary Policy Activism," IMES Discussion Paper Series 08-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
899. Garcés Díaz Daniel, 2020. "On the Drivers of Inflation in Different Monetary Regimes," Working Papers 2020-16, Banco de México.
900. Jacek Kwiatkowski, 2010. "Unobserved Component Model for Forecasting Polish Inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 121-129.
901. Elitzur, Moshe & Kaplan, Scott & Zilberman, David, 2020. "Hindered growth," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
902. Carlomagno, Guillermo & Espasa, Antoni, 2015. "Forecasting a large set of disaggregates with common trends and outliers," DES - Working Papers. Statistics and Econometrics. WS ws1518, Universidad Carlos III de Madrid. Departamento de Estadística.
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904. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
905. Takushi Kurozumi & Willem Van Zandweghe, 2018. "Why Has Inflation Persistence Declined?," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-3, April.
906. Kelly Trinh & Bo Zhang & Chenghan Hou, 2025. "Macroeconomic real‐time forecasts of univariate models with flexible error structures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 59-78, January.
907. Sergio Restrepo-Ángel & Hernán Rincón-Castro & Juan J. Ospina-Tejeiro, 2020. "Multiplicadores de los impuestos y del gasto público en Colombia: aproximaciones SVAR y proyecciones locales," Borradores de Economia 1114, Banco de la Republica de Colombia.
908. Ingrid Groessl & Artur Tarassow, 2015. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201504, University of Hamburg, Department of Socioeconomics, revised Jan 2018.
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909. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
910. Gertjan Vlieghe, 2025. "Core strength: international evidence on the impact of energy prices on core inflation," Economica, London School of Economics and Political Science, vol. 92(366), pages 406-419, April.
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911. Bloch, Laurence, 2012. "Product market regulation, trend inflation and inflation dynamics in the new Keynesian Phillips curve," Economic Modelling, Elsevier, vol. 29(5), pages 2058-2070.
912. Diogo de Prince & Emerson Fernandes Marçal & Pedro L. Valls Pereira, 2022. "Forecasting Industrial Production Using Its Aggregated and Disaggregated Series or a Combination of Both: Evidence from One Emerging Market Economy," Econometrics, MDPI, vol. 10(2), pages 1-34, June.
913. Korobilis, Dimitris, 2018. "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers 22666, University of Essex, Essex Business School.
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914. Dimitris Korobilis, 2021. "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 493-504, March.
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915. Koop, Gary & Potter, Simon M., 2011. "Time varying VARs with inequality restrictions," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1126-1138, July.
916. Cars Hommes & Kostas Mavromatis & Tolga Özden & Mei Zhu, 2023. "Behavioral learning equilibria in New Keynesian models," Quantitative Economics, Econometric Society, vol. 14(4), pages 1401-1445, November.
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917. Mariia Artemova & Francisco Blasques & Siem Jan Koopman & Zhaokun Zhang, 2021. "Forecasting in a changing world: from the great recession to the COVID-19 pandemic," Tinbergen Institute Discussion Papers 21-006/III, Tinbergen Institute.
918. Joshua Aizenman & Daniel Riera-Crichton, 2015. "Desafíos del Manejo de la Liquidez y de los Activos Internacionales en Latinoamérica," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 18(2), pages 62-96, August.
919. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
920. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
921. Wu, Ping, 2024. "Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility," International Journal of Forecasting, Elsevier, vol. 40(3), pages 903-917.
922. Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
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923. Aparicio, Diego & Bertolotto, Manuel I., 2020. "Forecasting inflation with online prices," International Journal of Forecasting, Elsevier, vol. 36(2), pages 232-247.
924. Moura, Guilherme V. & Turatti, Douglas Eduardo, 2014. "Efficient estimation of conditionally linear and Gaussian state space models," Economics Letters, Elsevier, vol. 124(3), pages 494-499.
925. Maria Elkhdari & Moez Souissi & Mr. Andrew Jewell, 2018. "Empirical Estimation of Fiscal Multipliers in MENA Oil-Exporting Countries with an Application to Algeria," IMF Working Papers 2018/124, International Monetary Fund.
926. Margaret M. Jacobson & Christian Matthes & Todd B. Walker, 2022. "Inflation Measured Every Day Keeps Adverse Responses Away: Temporal Aggregation and Monetary Policy Transmission," Finance and Economics Discussion Series 2022-054, Board of Governors of the Federal Reserve System (U.S.).
927. Gamber, Edward N. & Smith, Julie K. & Weiss, Matthew A., 2011. "Forecast errors before and during the Great Moderation," Journal of Economics and Business, Elsevier, vol. 63(4), pages 278-289, July.
928. Mallick, Debdulal, 2017. "The Growth-Volatility Relationship: What Does Volatility Decomposition Tell?," MPRA Paper 79397, University Library of Munich, Germany.
929. Dmitry Chervyakov & Philipp König, 2017. "The Natural Rate of Interest II: Empirical Overview," DIW Roundup: Politik im Fokus 109, DIW Berlin, German Institute for Economic Research.
930. Rana, Ghulam Awais & Shea, Paul, 2015. "Estimating the causal relationship between foreclosures and unemployment during the great recession," Economics Letters, Elsevier, vol. 134(C), pages 90-93.
931. Lee, Dong Jin & Son, Jong Chil, 2013. "Nonlinearity and structural breaks in monetary policy rules with stock prices," Economic Modelling, Elsevier, vol. 31(C), pages 1-11.
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932. Brent Bundick & Andrew Lee Smith, 2020. "Did the Federal Reserve Break the Phillips Curve? Theory and Evidence of Anchoring Inflation Expectations," Research Working Paper RWP 20-11, Federal Reserve Bank of Kansas City.
933. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
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934. Michelle Chan & Silvia Matos, 2011. "Changes In Brazilian Inflationpersistence," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 040, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
935. Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.
936. Gavin Ooft, 2020. "Forecasting Monthly Inflation: An Application To Suriname," Studies in Applied Economics 144, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
937. Chen, Jiazi & Hong, Zhiwu & Niu, Linlin, 2025. "Forecasting interest rates with shifting endpoints: The role of the functional demographic age distribution," International Journal of Forecasting, Elsevier, vol. 41(1), pages 153-174.
938. Marcelo A. T. Aragão, 2021. "Blurred Crystal Ball: investigating the forecasting challenges after a great exogenous shock," Working Papers Series 549, Central Bank of Brazil, Research Department.
939. Oh, Kum Hwa & Zivot, Eric & Creal, Drew, 2008. "The relationship between the Beveridge-Nelson decomposition and other permanent-transitory decompositions that are popular in economics," Journal of Econometrics, Elsevier, vol. 146(2), pages 207-219, October.
940. James H. Stock & Mark W. Watson, 2020. "Trend, Seasonal, and Sectorial Inflation in the Euro Area," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 9, pages 317-344, Central Bank of Chile.
941. Trucíos, Carlos & Mazzeu, João H.G. & Hotta, Luiz K. & Valls Pereira, Pedro L. & Hallin, Marc, 2021. "Robustness and the general dynamic factor model with infinite-dimensional space: Identification, estimation, and forecasting," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1520-1534.
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943. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
944. Polbin, Andrey & Shumilov, Andrei, 2023. "Прогнозирование Инфляции В России С Помощью Tvp-Модели С Байесовским Сжатием Параметров [Forecasting inflation in Russia using a TVP model with Bayesian shrinkage]," MPRA Paper 118650, University Library of Munich, Germany.
945. Gamber, Edward N. & Smith, Julie K., 2009. "Are the Fed's inflation forecasts still superior to the private sector's?," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 240-251, June.
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946. Lael Brainard, 2017. "Understanding the Disconnect between Employment and Inflation with a Low Neutral Rate : a speech at The Economic Club of New York New York, New York, September 5, 2017," Speech 969, Board of Governors of the Federal Reserve System (U.S.).
947. Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2020. "The Power of Narratives in Economic Forecasts," Finance and Economics Discussion Series 2020-001, Board of Governors of the Federal Reserve System (U.S.).
948. Francois De Paul Silatchom, 2017. "VECM and Variance Decomposition: An Application to the Consumption-Wealth Ratio," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(6), pages 188-199, June.
949. Stefania Mignani & Marcello Pagnini, 2021. "How effective is financial education? Evidence from the Emilia-Romagna region," Working Paper series 21-08, Rimini Centre for Economic Analysis.
950. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
951. Olesya Grishchenko & Sarah Mouabbi & Jean-Paul Renne, 2017. "The Joint Dynamics of U.S. and Euro-area Inflation Rates: Expectations and Time-varying Uncertainty," Working papers 622, Banque de France.
952. Svetlana Makarova, 2016. "ECB footprints on inflation forecast uncertainty," Bank of Estonia Working Papers wp2016-5, Bank of Estonia, revised 19 Jul 2016.
953. Paranhos, Livia, 2021. "Predicting Inflation with Neural Networks," The Warwick Economics Research Paper Series (TWERPS) 1344, University of Warwick, Department of Economics.
954. Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
955. Alfredo García-Hiernaux & María T. González-Pérez & David E. Guerrero, 2023. "How to measure inFLAtion volatility. A note," Working Papers 2314, Banco de España.
956. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2017. "Prévisions de l’inflation et de la croissance en zone CEMAC [Inflation and real growth forecasts in CEMAC zone]," MPRA Paper 116433, University Library of Munich, Germany.
957. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.
958. João Valle e Azevedo, 2010. "Forecasting Inflation (and the Business Cycle?) with Monetary Aggregates," Working Papers w201024, Banco de Portugal, Economics and Research Department.
959. Afees A. Salisu & Idris Adediran, 2018. "Testing for time-varying stochastic volatility in Bitcoin returns," Working Papers 060, Centre for Econometric and Allied Research, University of Ibadan.
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961. Laura Inés D’Amato, 2013. "Introducción," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Dinámica inflacionaria, persistencia y formación de precios y salarios, edition 1, chapter 1, pages 3-9, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
962. Doshi, Hitesh & Jacobs, Kris & Liu, Rui, 2018. "Macroeconomic determinants of the term structure: Long-run and short-run dynamics," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 99-122.
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