IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp9444.html
   My bibliography  Save this paper

Personal Experiences and Expectations about Aggregate Outcomes

Author

Listed:
  • Kuchler, Theresa

    () (New York University)

  • Zafar, Basit

    () (Federal Reserve Bank of New York)

Abstract

We use novel survey data to estimate how personal experiences affect household expectations about aggregate economic outcomes in housing and labor markets. We exploit variation in locally experienced house prices to show that individuals systematically extrapolate from recent locally experienced home prices when asked for their expectations about US house price changes over the next year. In addition, higher volatility of locally experienced house prices causes respondents to report a wider distribution over expected future national house price movements. We find similar results for labor market expectations, where we exploit within-individual variation in labor market status to estimate the effect of own experience on national labor market expectations. Personally experiencing unemployment leads respondents to be significantly more pessimistic about future nationwide unemployment. The extent of extrapolation is unrelated to proxies for how informative personal experiences are, and is more pronounced for less sophisticated individuals.

Suggested Citation

  • Kuchler, Theresa & Zafar, Basit, 2015. "Personal Experiences and Expectations about Aggregate Outcomes," IZA Discussion Papers 9444, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp9444
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp9444.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    2. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
      • Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2015. "Expectations and Investment," NBER Chapters,in: NBER Macroeconomics Annual 2015, Volume 30, pages 379-431 National Bureau of Economic Research, Inc.
    3. Reis, Ricardo, 2006. "Inattentive consumers," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1761-1800, November.
    4. Tortorice Daniel Louis, 2012. "Unemployment Expectations and the Business Cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, January.
    5. Xavier Gabaix, 2014. "A Sparsity-Based Model of Bounded Rationality," The Quarterly Journal of Economics, Oxford University Press, vol. 129(4), pages 1661-1710.
    6. Markku Kaustia & Samuli Knüpfer, 2008. "Do Investors Overweight Personal Experience? Evidence from IPO Subscriptions," Journal of Finance, American Finance Association, vol. 63(6), pages 2679-2702, December.
    7. Charles Nathanson & Edward Glaeser, 2015. "An Extrapolative Model of House Price Dynamics," 2015 Meeting Papers 1108, Society for Economic Dynamics.
    8. Edward L. Glaeser & Charles G. Nathanson, 2015. "An Extrapolative Model of House Price Dynamics," NBER Working Papers 21037, National Bureau of Economic Research, Inc.
    9. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2014. "Inflation Expectations, Learning and Supermarket Prices," NBER Working Papers 20576, National Bureau of Economic Research, Inc.
    10. Glaeser, Edward L. & Nathanson, Charles G., 2015. "An Extrapolative Model of House Price Dynamics," Working Paper Series rwp15-012, Harvard University, John F. Kennedy School of Government.
    11. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    12. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    13. Greenwood, Robin & Nagel, Stefan, 2009. "Inexperienced investors and bubbles," Journal of Financial Economics, Elsevier, vol. 93(2), pages 239-258, August.
    14. Edward L. Glaeser & Joshua D. Gottlieb & Joseph Gyourko, 2012. "Can Cheap Credit Explain the Housing Boom?," NBER Chapters,in: Housing and the Financial Crisis, pages 301-359 National Bureau of Economic Research, Inc.
    15. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    16. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    17. Michael Weber & Daniel Hoang & Francesco D'Acunto, 2015. "Inflation Expectations and Consumption Expenditure," 2015 Meeting Papers 1266, Society for Economic Dynamics.
    18. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    19. William Goetzmann & Liang Peng & Jacqueline Yen, 2012. "The Subprime Crisis and House Price Appreciation," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 36-66, January.
    20. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 373-416.
    21. Carlos Madeira & Basit Zafar, 2015. "Heterogeneous Inflation Expectations and Learning," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(5), pages 867-896, August.
    22. Edward L. Glaeser & Todd Sinai, 2013. "Housing and the Financial Crisis," NBER Books, National Bureau of Economic Research, Inc, number glae11-1.
    23. Eugene Amromin & Steven A. Sharpe, 2009. "Expectations of risk and return among household investors: Are their Sharpe ratios countercyclical?," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    24. Yao-Min Chiang & David Hirshleifer & Yiming Qian & Ann E. Sherman, 2011. "Do Investors Learn from Experience? Evidence from Frequent IPO Investors," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1560-1589.
    25. Melvin Stephens, 2004. "Job Loss Expectations, Realizations, and Household Consumption Behavior," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 253-269, February.
    26. Johannes Stroebel & Joseph Vavra, 2014. "House Prices, Local Demand, and Retail Prices," NBER Working Papers 20710, National Bureau of Economic Research, Inc.
    27. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chernenko, Sergey & Hanson, Samuel G. & Sunderam, Adi, 2016. "Who neglects risk? Investor experience and the credit boom," Journal of Financial Economics, Elsevier, vol. 122(2), pages 248-269.
    2. Armona, Luis & Fuster, Andreas & Zafar, Basit, 2016. "Home price expectations and behavior: evidence from a randomized information experiment," Staff Reports 798, Federal Reserve Bank of New York.
    3. Christa Hainz & Nikolay Hristov, 2017. "Zur Kredithürde: Perzeption der Kreditvergabebereitschaft der Banken und unternehmensspezifische Kreditmarkterfahrung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(07), pages 51-54, April.

    More about this item

    Keywords

    expectations; experiences;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp9444. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.