Assessing the temporal variation of macroeconomic forecasts by a panel of changing composition

Citations

Cited by:

1. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
2. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2022. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 29-50, Emerald Group Publishing Limited.
   • Kajal Lahiri & Huaming Peng & Xuguang Sheng, 2015. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," CESifo Working Paper Series 5468, CESifo.
   • Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
   • Kajal Lahiri & Huaming Peng & Xuguang Sheng, 2020. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," CESifo Working Paper Series 8810, CESifo.
3. Hana Braitsch & James Mitchell & Taylor Shiroff, 2024. "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers 24-25, Federal Reserve Bank of Cleveland.
4. Michael P. Clements, 2022. "Individual forecaster perceptions of the persistence of shocks to GDP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 640-656, April.
   • Michael P. Clements, 2020. "Individual Forecaster Perceptions of the Persistence of Shocks to GDP," ICMA Centre Discussion Papers in Finance icma-dp2020-02, Henley Business School, University of Reading.
5. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Research Discussion Papers 29/2014, Bank of Finland.
6. Carlo Altavilla & Domenico Giannone, 2017. "The Effectiveness of Non‐Standard Monetary Policy Measures: Evidence from Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 952-964, August.
   • Giannone, Domenico & Altavilla, Carlo, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," CEPR Discussion Papers 10001, C.E.P.R. Discussion Papers.
   • Altavilla, Carlo & Giannone, Domenico, 2016. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Paper Series 1951, European Central Bank.
   • Carlo Altavilla & Domenico Giannone, 2014. "The effectiveness of non-standard monetary policy measures: evidence from survey data," Working Papers CASMEF 1406, Dipartimento di Economia e Finanza, LUISS Guido Carli.
   • Carlo Altavilla & Domenico Giannone, 2015. "The effectiveness of nonstandard monetary policy measures: evidence from survey data," Staff Reports 752, Federal Reserve Bank of New York.
   • Carlo Altavilla & Domenico Giannone, 2014. "The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Survey Data," Working Papers ECARES ECARES 2014-30, ULB -- Universite Libre de Bruxelles.
7. Jinill Kim & Seth Pruitt, 2017. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 585-602, June.
   • Jinill Kim & Seth Pruitt, 2013. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," CAMA Working Papers 2013-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
   • Jinill Kim & Seth Pruitt, 2015. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Discussion Paper Series 1502, Institute of Economic Research, Korea University.
8. repec:zbw:bofrdp:2016_015 is not listed on IDEAS
9. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
   • Robert W. Rich & Joseph Song & Joseph Tracy, 2012. "The measurement and behavior of uncertainty: evidence from the ECB Survey of Professional Forecasters," Staff Reports 588, Federal Reserve Bank of New York.
10. Folli, Dominik & Wolff, Irenaeus, 2022. "Biases in belief reports," Journal of Economic Psychology, Elsevier, vol. 88(C).
    • Bauer, Dominik & Wolff, Irenaeus, 2021. "Biases in Belief Reports," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242458, Verein für Socialpolitik / German Economic Association.
11. Holmes, Mark J. & Iregui, Ana María & Otero, Jesús, 2021. "The effects of FX-interventions on forecasters disagreement: A mixed data sampling view," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
12. Karlyn Mitchell & Douglas K. Pearce, 2020. "How Did Unconventional Monetary Policy Affect Economic Forecasts?," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 206-220, January.
13. Charles F. Manski, 2018. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 411-471.
    • Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Chapters, in: NBER Macroeconomics Annual 2017, volume 32, pages 411-471, National Bureau of Economic Research, Inc.
    • Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
14. repec:zbw:bofrdp:2014_029 is not listed on IDEAS
15. Clements, Michael P., 2019. "Do forecasters target first or later releases of national accounts data?," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
    • Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
16. Ambrocio, Gene, 2017. "The real effects of overconfidence and fundamental uncertainty shocks," Research Discussion Papers 37/2017, Bank of Finland.
    • Ambrocio, Gene, 2017. "The real effects of overconfidence and fundamental uncertainty shocks," Research Discussion Papers 37, Bank of Finland.
17. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
18. Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
19. López Pérez, Víctor, 2015. "Does uncertainty affect participation in the European Central Bank's Survey of Professional Forecasters?," Working Paper Series 1807, European Central Bank.
20. Francesca Pancotto & Giuseppe Pignataro & Davide Raggi, 2015. "Social Learning and Higher Order Beliefs: A Structural Model of Exchange Rates Dynamics," LEM Papers Series 2015/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
21. repec:zbw:bofrdp:2017_037 is not listed on IDEAS
22. Sami Oinonen & Maritta Paloviita, 2017. "How Informative are Aggregated Inflation Expectations? Evidence from the ECB Survey of Professional Forecasters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 139-163, November.
    • Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Research Discussion Papers 15/2016, Bank of Finland.
23. Monica Jain, 2019. "Perceived Inflation Persistence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 110-120, January.
    • Monica Jain, 2013. "Perceived Inflation Persistence," Staff Working Papers 13-43, Bank of Canada.
24. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
25. Ueno, Yuko, 2014. "Updating Behavior of Inflation Expectations: Evidence from Japanese Household Panel Data," CIS Discussion paper series 617, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
26. Bauer, Dominik & Wolff, Irenaeus, 2019. "Biases in Beliefs," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203601, Verein für Socialpolitik / German Economic Association.
27. Karlyn Mitchell & Douglas K. Pearce, 2017. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 637-653, October.
    • Mitchell, Karlyn & Pearce, Douglas, 2015. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," MPRA Paper 66172, University Library of Munich, Germany.
28. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    • Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
29. Clements, Michael P., 2021. "Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 37(2), pages 634-646.
    • Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
30. Zidong An & Salem Abo‐Zaid & Xuguang Simon Sheng, 2023. "Inattention and the impact of monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 623-643, June.
31. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Bank of Finland Research Discussion Papers 15/2016, Bank of Finland.
32. Michael P. Clements, 2020. "Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?," Econometrics, MDPI, vol. 8(2), pages 1-16, May.
33. repec:zbw:bofrdp:037 is not listed on IDEAS
34. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Bank of Finland Research Discussion Papers 29/2014, Bank of Finland.