Theory and Decision

, Volume 61, Issue 3, pp 205–249

“Take-the-Best” and Other Simple Strategies: Why and When they Work “Well” with Binary Cues

Authors

    • Department of Economics and BusinessUniversitat Pompeu Fabra
  • Natalia Karelaia
    • HEC Université de Lausanne
Article

DOI: 10.1007/s11238-006-9000-8

Cite this article as:
Hogarth, R.M. & Karelaia, N. Theor Decis (2006) 61: 205. doi:10.1007/s11238-006-9000-8

Abstract

The effectiveness of decision rules depends on characteristics of both rules and environments. A theoretical analysis of environments specifies the relative predictive accuracies of the “take-the-best” heuristic (TTB) and other simple strategies for choices between two outcomes based on binary cues. We identify three factors: how cues are weighted; characteristics of choice sets; and error. In the absence of error and for cases involving from three to five binary cues, TTB is effective across many environments. However, hybrids of equal weights (EW) and TTB models are more effective as environments become more compensatory. As error in the environment increases, the predictive ability of all models is systematically degraded. Indeed, using the datasets of Gigerenzer et al. (1999, Simple Heuristics That Make Us Smart, New York: Oxford University Press), TTB and similar models do not predict much better than a naïve model that exploits dominance. Finally, we emphasize that the results reported here are conditional on binary cues.

Keywords

decision makingbounded rationalitylexicographic rulestake-the-bestequal weighting

Copyright information

© Springer 2006