2009
DOI: 10.1111/j.1467-999x.2008.00324.x
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Heuristics, the Non‐maximizing Firm and Efficient Allocation

Abstract: It has been suggested that the theory of the firm can be modified and improved by shifting to a (non-maximizing) heuristic approach that is able to explain how relatively efficient outcomes can be brought about by the use of 'fast and frugal' decision rules. The paper argues, however, that certain heuristic mechanisms, which may have great appeal to entrepreneurs in practice, tend to lead firms to worse solutions than those that could be achieved in a neoinstitutional system with the use of other methods. More… Show more

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Cited by 3 publications
(2 citation statements)
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“…According to these arguments and keeping in mind that information is costly, determining a decision alternative that maximizes expected utility is not possible any more: the actor within this model has to limit the search for information but can genuinely not do this as an optimization under constraints (Furubotn and Richter 2005;Furubotn 2009Furubotn , 2014. Instead, the actor has no better option than selecting information arbitrarily.…”
Section: Markets According To the New Institutional Economics Approachmentioning
confidence: 99%
“…According to these arguments and keeping in mind that information is costly, determining a decision alternative that maximizes expected utility is not possible any more: the actor within this model has to limit the search for information but can genuinely not do this as an optimization under constraints (Furubotn and Richter 2005;Furubotn 2009Furubotn , 2014. Instead, the actor has no better option than selecting information arbitrarily.…”
Section: Markets According To the New Institutional Economics Approachmentioning
confidence: 99%
“…9 In the most simple case, if     is linear in the opponent's cost shock, using the heuristic strategy is equivalent to the Bayesian approach. Although the heuristic strategy doesn't use information 9 Although we focus on a function for which    is quadratic in  − , it is possible to adapt the previous result to the case of an arbitrary function, by defining quadratic functions which provide upper and lower bounds on the convexity/concavity of the arbitrary function. The analogous result is if     is globally convex (concave) in  − ,  *  will be greater (less) than  .…”
Section: Comparing Best Response Functionsmentioning
confidence: 99%