Uncertainty of Household Inflation Expectations: Reconciling Point and Density Forecasts
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Zhao, Yongchen, 2024. "Uncertainty of household inflation expectations: Reconciling point and density forecasts," Economics Letters, Elsevier, vol. 234(C).
References listed on IDEAS
- Clements, Michael P., 2010.
"Explanations of the inconsistencies in survey respondents' forecasts,"
European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
- Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents' forecasts," Economic Research Papers 269881, University of Warwick - Department of Economics.
- Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
- Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009.
"Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
- Joseph Engelberg & Charles F. Manski & Jared Williams, 2006. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," NBER Working Papers 11978, National Bureau of Economic Research, Inc.
- 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.
- Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021.
"Does judgment improve macroeconomic density forecasts?,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1247-1260.
- Galvao, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2020. "Does Judgment Improve Macroeconomic Density Forecasts?," EMF Research Papers 33, Economic Modelling and Forecasting Group.
- Clements, Michael P., 2016.
"Long-run restrictions and survey forecasts of output, consumption and investment,"
International Journal of Forecasting, Elsevier, vol. 32(3), pages 614-628.
- Michael P. Clements, 2014. "Long-Run Restrictions and Survey Forecasts of Output, Consumption and Investment," ICMA Centre Discussion Papers in Finance icma-dp2014-02, Henley Business School, University of Reading.
- Robert Rich & Joseph Tracy, 2021.
"A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 233-253, February.
- Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers 1811, Federal Reserve Bank of Dallas.
- Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
- Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
- Robert Rich & Joseph Tracy, 2010. "The Relationships among Expected Inflation, Disagreement, and Uncertainty: Evidence from Matched Point and Density Forecasts," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 200-207, February.
- Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
- 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.
- Geoff Kenny & Thomas Kostka & Federico Masera, 2015.
"Density characteristics and density forecast performance: a panel analysis,"
Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
- Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2014. "Density characteristics and density forecast performance: a panel analysis," Working Paper Series 1679, European Central Bank.
- Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
- 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.
- 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.
- Clements, Michael P, 2012.
"Subjective and Ex Post Forecast Uncertainty : US Inflation and Output Growth,"
The Warwick Economics Research Paper Series (TWERPS)
995, University of Warwick, Department of Economics.
- Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
- Clements, Michael P., 2018.
"Are macroeconomic density forecasts informative?,"
International Journal of Forecasting, Elsevier, vol. 34(2), pages 181-198.
- Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
- Dovern, Jonas & Glas, Alexander & Kenny, Geoff, 2023.
"Testing for differences in survey-based density expectations: a compositional data approach,"
Working Paper Series
2791, European Central Bank.
- Jonas Dovern & Alexander Glas & Geoff Kenny, 2023. "Testing for Differences in Survey-Based Density Expectations: A Compositional Data Approach," CESifo Working Paper Series 10256, CESifo.
- Dovern, Jonas & Glas, Alexander & Kenny, Geoff, 2023. "Testing for differences in survey-based density expectations: A compositional data approach," Working Papers 39, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022.
"What is the Predictive Value of SPF Point and Density Forecasts?,"
Working Papers
22-37, Federal Reserve Bank of Cleveland.
- Ganics, Gergely & Mertens, Elmar & Clark, Todd E., 2023. "What Is the Predictive Value of SPF Point and Density Forecasts?," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277622, Verein für Socialpolitik / German Economic Association.
- Zhao, Yongchen, 2023. "Internal consistency of household inflation expectations: Point forecasts vs. density forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1713-1735.
- repec:zbw:bofrdp:2019_010 is not listed on IDEAS
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Fernando Borraz & Laura Zacheo, 2018. "Inattention, Disagreement and Internal (In)Consistency of Inflation Forecasts," Documentos de trabajo 2018007, Banco Central del Uruguay.
- Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
- Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2019. "Assessing reliability of aggregated inflation views in the European Commission consumer survey," Bank of Finland Research Discussion Papers 10/2019, Bank of Finland.
- Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2019. "Assessing reliability of aggregated inflation views in the European Commission consumer survey," Research Discussion Papers 10/2019, Bank of Finland.
- MORIKAWA Masayuki, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
- Goldfayn-Frank, Olga & Wohlfart, Johannes, 2018. "How do consumers adapt to a new environment in their economic forecasting? Evidence from the German reunification," IMFS Working Paper Series 129, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- repec:zbw:bofrdp:2021_010 is not listed on IDEAS
- Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
- Michael P. Clements, 2014.
"US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
- Clements, Michael P., 2012. "US inflation expectations and heterogeneous loss functions, 1968–2010," Economic Research Papers 270653, University of Warwick - Department of Economics.
- Clements, Michael P., 2012. "US inflation expectations and heterogeneous loss functions, 1968–2010," The Warwick Economics Research Paper Series (TWERPS) 986, University of Warwick, Department of Economics.
More about this item
Keywords
Uncertainty measurement; Exponential tilting; Household survey; Consumer sentiment.;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2023-12-18 (Banking)
- NEP-MON-2023-12-18 (Monetary Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tow:wpaper:2023-09. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Juergen Jung (email available below). General contact details of provider: https://edirc.repec.org/data/detowus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.