IDEAS home Printed from https://ideas.repec.org/a/bin/bpeajo/v32y2001i2001-1p175-216.html

The Predictive Power of the Index of Consumer Sentiment

Author

Listed:
  • E. Philip Howrey

    (University of Michigan)

Abstract

No abstract is available for this item.

Suggested Citation

  • E. Philip Howrey, 2001. "The Predictive Power of the Index of Consumer Sentiment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 175-216.
    • Handle: RePEc:bin:bpeajo:v:32:y:2001:i:2001-1:p:175-216
    as

    Download full text from publisher

    File URL: https://www.brookings.edu/wp-content/uploads/2001/01/2001a_bpea_howrey.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jason Bram & Sydney C. Ludvigson, 1998. "Does consumer confidence forecast household expenditure? a sentiment index horse race," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Jun), pages 59-78.
    2. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    3. Michael C. & Pao-Lin Tien, 2000. "Economic Discomfort and Consumer Sentiment," Eastern Economic Journal, Eastern Economic Association, vol. 26(1), pages 1-8, Winter.
    4. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, March.
    5. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," The Journal of Business, University of Chicago Press, vol. 62(3), pages 369-391, July.
    6. James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 1-10, National Bureau of Economic Research, Inc.
    7. Saul H. Hymans, 1970. "Consumer Durable Spending: Explanation and Prediction," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 1(2), pages 173-206.
    8. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886.
    9. Adams, F Gerard & Duggal, Vijaya G, 1974. "Anticipations Variables in an Econometric Model: Performance of the Anticipations Version of Wharton Mark III," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 267-284, June.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Ivan Roberts & John Simon, 2001. "What do Sentiment Surveys Measure?," RBA Research Discussion Papers rdp2001-09, Reserve Bank of Australia.
    2. Christos Kallandranis & Socrates Karidis, 2014. "Assessing the Effect of the Consumer-Voter Sentiment on Tiebout-Like Migration: The EU 27 Case," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 14(1), pages 31-55, April.
    3. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
    4. J.D. Hollingworth, 1997. "Leading Indicators of Australian Recessions: Part 2," Economics Discussion / Working Papers 97-17, The University of Western Australia, Department of Economics.
    5. Terence C. Mills & Ping Wang, 2003. "Multivariate Markov Switching Common Factor Models for the UK," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 177-193, April.
    6. Vuchelen, Jef, 2004. "Consumer sentiment and macroeconomic forecasts," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 493-506, August.
    7. Brigitte Desroches & Marc-André Gosselin, 2002. "The Usefulness of Consumer Confidence Indexes in the United States," Staff Working Papers 02-22, Bank of Canada.
    8. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    9. Tsai, Bi-Huei & Chang, Chih-Jen & Chang, Chun-Hsien, 2016. "Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models," Energy, Elsevier, vol. 100(C), pages 416-424.
    10. Qi, Min, 2001. "Predicting US recessions with leading indicators via neural network models," International Journal of Forecasting, Elsevier, vol. 17(3), pages 383-401.
    11. Giselle Guzmán, 2009. "Using Sentiment Surveys to Predict GDP Growth and Stock Returns," Chapters, in: Lawrence R. Klein (ed.), The Making of National Economic Forecasts, chapter 12, Edward Elgar Publishing.
    12. Blagica Petreski & Marjan Petreski, 2014. "Leading composite index produced by Finance Think: Forecasting power reassessed," Finance Think Policy Studies 2014-12/2, Finance Think - Economic Research and Policy Institute.
    13. Moradi, Alireza, 2016. "Modeling Business Cycle Fluctuations through Markov Switching VAR:An Application to Iran," MPRA Paper 73608, University Library of Munich, Germany.
    14. Joseph G. Haubrich, 2021. "Does the Yield Curve Predict Output?," Annual Review of Financial Economics, Annual Reviews, vol. 13(1), pages 341-362, November.
    15. T.P.Koirala, Ph.D., 2013. "Time-Varying Parameters of Inflation Model in Nepal: State Space Modeling," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 25(2), pages 66-77, October.
    16. Masaki Katsuura & Allan P. Layton, 1999. "Is the 1990’s US Expansion Similar to the 1960’s?," School of Economics and Finance Discussion Papers and Working Papers Series 062, School of Economics and Finance, Queensland University of Technology.
    17. repec:syb:wpbsba:05/2013 is not listed on IDEAS
    18. Kajal Lahiri & J. George Wang, 2007. "The value of probability forecasts as predictors of cyclical downturns," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 11-14.
    19. Christopher J. Neely & David E. Rapach, 2015. "Common Fluctuations in OECD Budget Balances," Review, Federal Reserve Bank of St. Louis, vol. 97(2), pages 109-132.
    20. Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.
    21. Rua, António, 2017. "A wavelet-based multivariate multiscale approach for forecasting," International Journal of Forecasting, Elsevier, vol. 33(3), pages 581-590.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    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:bin:bpeajo:v:32:y:2001:i:2001-1:p:175-216. 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: Haowen Chen (email available below). General contact details of provider: https://edirc.repec.org/data/esbrous.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.