IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v25y2009i4p760-772.html
   My bibliography  Save this article

Fast and frugal forecasting

Author

Listed:
  • Goldstein, Daniel G.
  • Gigerenzer, Gerd

Abstract

Simple statistical forecasting rules, which are usually simplifications of classical models, have been shown to make better predictions than more complex rules, especially when the future values of a criterion are highly uncertain. In this article, we provide evidence that some of the fast and frugal heuristics that people use intuitively are able to make forecasts that are as good as or better than those of knowledge-intensive procedures. We draw from research on the adaptive toolbox and ecological rationality to demonstrate the power of using intuitive heuristics for forecasting in various domains including sport, business, and crime.

Suggested Citation

  • Goldstein, Daniel G. & Gigerenzer, Gerd, 2009. "Fast and frugal forecasting," International Journal of Forecasting, Elsevier, vol. 25(4), pages 760-772, October.
  • Handle: RePEc:eee:intfor:v:25:y:2009:i:4:p:760-772
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(09)00081-8
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    2. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331.
    3. Lorenzo Garlappi & Raman Uppal & Tan Wang, 2007. "Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach," Review of Financial Studies, Society for Financial Studies, vol. 20(1), pages 41-81, January.
    4. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
    5. MacKinlay, A Craig & Pastor, Lubos, 2000. "Asset Pricing Models: Implications for Expected Returns and Portfolio Selection," Review of Financial Studies, Society for Financial Studies, vol. 13(4), pages 883-916.
    6. Fildes, Robert & Nikolopoulos, Konstantinos, 2006. "Spyros Makridakis: An interview with the International Journal of Forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 625-636.
    7. Kan, Raymond & Zhou, Guofu, 2007. "Optimal Portfolio Choice with Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(03), pages 621-656, September.
    8. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.
    9. Laura Martignon & Ulrich Hoffrage, 2002. "Fast, frugal, and fit: Simple heuristics for paired comparison," Theory and Decision, Springer, vol. 52(1), pages 29-71, February.
    10. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    11. Boulier, Bryan L. & Stekler, H. O., 1999. "Are sports seedings good predictors?: an evaluation," International Journal of Forecasting, Elsevier, vol. 15(1), pages 83-91, February.
    12. Peter S. Fader & Bruce G. S. Hardie & Ka Lok Lee, 2005. "“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model," Marketing Science, INFORMS, vol. 24(2), pages 275-284, August.
    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. Huang, Chun-Yao, 2012. "To model, or not to model: Forecasting for customer prioritization," International Journal of Forecasting, Elsevier, vol. 28(2), pages 497-506.
    2. Woike, Jan K. & Hoffrage, Ulrich & Petty, Jeffrey S., 2015. "Picking profitable investments: The success of equal weighting in simulated venture capitalist decision making," Journal of Business Research, Elsevier, vol. 68(8), pages 1705-1716.
    3. Makridakis, Spyros & Taleb, Nassim, 2009. "Decision making and planning under low levels of predictability," International Journal of Forecasting, Elsevier, vol. 25(4), pages 716-733, October.
    4. Berg, Nathan, 2014. "Success from satisficing and imitation: Entrepreneurs' location choice and implications of heuristics for local economic development," Journal of Business Research, Elsevier, vol. 67(8), pages 1700-1709.
    5. Sebastian Voigt & Oliver Hinz, 2016. "Making Digital Freemium Business Models a Success: Predicting Customers’ Lifetime Value via Initial Purchase Information," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(2), pages 107-118, April.
    6. Katsikopoulos, Konstantinos V., 2016. "On the role of psychological heuristics in operational research; and a demonstration in military stability operationsAuthor-Name: Keller, Niklas," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1063-1073.
    7. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    8. Berg, Nathan & Biele, Guido & Gigerenzer, Gerd, 2010. "Does consistency predict accuracy of beliefs?: Economists surveyed about PSA," MPRA Paper 26590, University Library of Munich, Germany.
    9. Daniel G. Goldstein & Gerd Gigerenzer, 2011. "The beauty of simple models: Themes in recognition heuristic research," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(5), pages 392-395, July.
    10. Brent Moritz & Enno Siemsen & Mirko Kremer, 2014. "Judgmental Forecasting: Cognitive Reflection and Decision Speed," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1146-1160, July.
    11. Alessandro Innocenti & Tommaso Nannicini & Roberto Ricciuti, 2012. "The Importance of Betting Early," Labsi Experimental Economics Laboratory University of Siena 037, University of Siena.
    12. Forbes, William & Hudson, Robert & Skerratt, Len & Soufian, Mona, 2015. "Which heuristics can aid financial-decision-making?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 199-210.
    13. Wüstenhagen, Rolf & Menichetti, Emanuela, 2012. "Strategic choices for renewable energy investment: Conceptual framework and opportunities for further research," Energy Policy, Elsevier, vol. 40(C), pages 1-10.
    14. Aharonson, Barak S. & Schilling, Melissa A., 2016. "Mapping the technological landscape: Measuring technology distance, technological footprints, and technology evolution," Research Policy, Elsevier, vol. 45(1), pages 81-96.
    15. Signe Waechter & Bernadette Sütterlin & Michael Siegrist, 2017. "Decision-Making Strategies for the Choice of Energy-friendly Products," Journal of Consumer Policy, Springer, vol. 40(1), pages 81-103, March.
    16. Armstrong, J. Scott, 2011. "Illusions in Regression Analysis," MPRA Paper 81663, University Library of Munich, Germany.
    17. Clintin Davis-Stober, 2011. "A Geometric Analysis of When Fixed Weighting Schemes Will Outperform Ordinary Least Squares," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 650-669, October.

    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:eee:intfor:v:25:y:2009:i:4:p:760-772. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.