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Fast and frugal forecasting

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Author Info

  • 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.

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File URL: http://www.sciencedirect.com/science/article/B6V92-4WFPPCG-1/2/51c3a2653ee86cb8a71df117e9b7dada
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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 25 (2009)
Issue (Month): 4 (October)
Pages: 760-772

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Handle: RePEc:eee:intfor:v:25:y:2009:i:4:p:760-772

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Web page: http://www.elsevier.com/locate/ijforecast

Related research

Keywords: Heuristics Fast and frugal heuristics Unit weighting Robustness Overfitting Cross-validation;

References

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  1. Garlappi, Lorenzo & Uppal, Raman & Wang, Tan, 2005. "Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach," CEPR Discussion Papers 5148, C.E.P.R. Discussion Papers.
  2. 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.
  3. 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.
  4. A. CRAIG MacKINLAY & LUBOŠ PÁSTOR, . "Asset Pricing Models: Implications for Expected Returns and Portfolio Selection," CRSP working papers 362, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  5. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
  12. 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.
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Citations

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Cited by:
  1. Berg, Nathan & Biele, Guido & Gigerenzer, Gerd, 2010. "Does Consistency Predict Accuracy of Beliefs?: Economists Surveyed About PSA," MPRA Paper 24976, University Library of Munich, Germany.
  2. Berg, Nathan, 2010. "Success from Satisficing and Imitation: Entrepreneurs’ Location Choice and Implications of Heuristics for Local Economic Development," MPRA Paper 26594, University Library of Munich, Germany.
  3. 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.
  4. Clintin Davis-Stober, 2011. "A Geometric Analysis of When Fixed Weighting Schemes Will Outperform Ordinary Least Squares," Psychometrika, Springer, vol. 76(4), pages 650-669, October.
  5. Alessandro Innocenti & Tommaso Nannicini & Roberto Ricciuti, 2012. "The Importance of Betting Early," Labsi Experimental Economics Laboratory University of Siena 037, University of Siena.
  6. 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.
  7. 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.

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