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On the Formation of Expected Inflation under Various Conditions: Some Survey Evidence

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  • Baghestani, Hamid

Abstract

Based on the notion of economically rational expectations, the author hypothesizes that the degree of the rationality of economic agents' inflationary expectations differs depending on the prevailing rate and volatility of inflation. This is tested for the Institute for Social Research monthly survey data by using the inflation forecasts from an autoregressive integrated moving average model and those from a vector autoregressive model, respectively, as benchmarks for the weak and stronger measures of rationality. The author's analysis for 1978:01-1985:06 reveals evidence in favor of the above hypothesis. Copyright 1992 by University of Chicago Press.

Suggested Citation

  • Baghestani, Hamid, 1992. "On the Formation of Expected Inflation under Various Conditions: Some Survey Evidence," The Journal of Business, University of Chicago Press, vol. 65(2), pages 281-293, April.
    • Handle: RePEc:ucp:jnlbus:v:65:y:1992:i:2:p:281-93
    DOI: 10.1086/296569
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    Cited by:

    1. Baghestani, Hamid & Kherfi, Samer, 2008. "How well do U.S. consumers predict the direction of change in interest rates?," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 725-732, November.
    2. Prat, Georges & Uctum, Remzi, 2011. "Modelling oil price expectations: Evidence from survey data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 236-247, June.
    3. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    4. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992) [The "rational expectations hypothesis": theory and reality (a guided tour ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    5. Baghestani, Hamid, 2015. "Predicting gasoline prices using Michigan survey data," Energy Economics, Elsevier, vol. 50(C), pages 27-32.
    6. Andrade, Isabel, 1992. "The relationship between inflation and relative price variability: A multivariate approach," Discussion Paper Series In Economics And Econometrics 9203, Economics Division, School of Social Sciences, University of Southampton.
    7. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    8. Marc Simpson & Sanjay Ramchander, 2002. "Is differential sentiment a cause of closed-end country fund premia? An empirical examination of the Australian case," Applied Economics Letters, Taylor & Francis Journals, vol. 9(9), pages 615-619.
    9. Georges Prat & Remzi Uctum, 2009. "Modelling oil price expectations: evidence from survey data," Working Papers hal-04140866, HAL.
    10. Baghestani, Hamid, 2021. "Predicting growth in US durables spending using consumer durables-buying attitudes," Journal of Business Research, Elsevier, vol. 131(C), pages 327-336.
    11. Hamid Baghestani, 2016. "Interest rate movements and US consumers’ inflation forecast errors: is there a link?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(3), pages 623-630, July.
    12. Hamid Baghestani & Mohammad Arzaghi & Ilker Kaya, 2015. "On the accuracy of Blue Chip forecasts of interest rates and country risk premiums," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 113-122, January.
    13. Wärneryd, K.E., 1995. "Demystifying rational expectations theory through an economic-psychological model," Discussion Paper 1995-92, Tilburg University, Center for Economic Research.
    14. Baghestani, Hamid, 2012. "Are professional forecasts of growth in US business investment rational?," Economics Letters, Elsevier, vol. 114(1), pages 132-135.
    15. Hamid Baghestani, 2017. "Do US consumer survey data help beat the random walk in forecasting mortgage rates?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343017-134, January.

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