2003
DOI: 10.2139/ssrn.444840
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The Allocation of Attention: Theory and Evidence

Abstract: JEL classification: C7, C9, D8.

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Cited by 42 publications
(20 citation statements)
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“…Promising research explicitly studying complexity, information processing and effort allocation include Berrens et al (2004) and Lienhoop and Fischer (2009) for CV, Meyerhoff and Liebe (2009) and Boxall et al (2009) for CM, and DeShazo and Fermo (2002) comparing both SP approaches. Gabaix et al (2003) provides a more general theoretical framework.…”
Section: Satisficingmentioning
confidence: 99%
“…Promising research explicitly studying complexity, information processing and effort allocation include Berrens et al (2004) and Lienhoop and Fischer (2009) for CV, Meyerhoff and Liebe (2009) and Boxall et al (2009) for CM, and DeShazo and Fermo (2002) comparing both SP approaches. Gabaix et al (2003) provides a more general theoretical framework.…”
Section: Satisficingmentioning
confidence: 99%
“…This approach has been widely used to estimate revealed-preference choice data models in transportation, geography, marketing, and environmental valuation (Swait and BenAkiva, 1987;Horowitz, 1991;Ben-Akiva and Boccara, 1995;Haab and Hicks, 1997;Dai, 1998;Swait, 2001;and Basar and Bhat, 2004). Cameron and DeShazo (2004, hereafter CDS), building on work by Gabaix et al (2003) and DeShazo and Fermo (2004), propose a new approach based on the idea that individuals consider the costs and benefits of processing information in a given choice set. Their ideas can be applied in real choice settings, but are most easily implemented in stated-preference (SP) settings where researchers have designed choice sets that individuals face on given choice occasions.…”
Section: Choice Set Formation and Attribute Information Processingmentioning
confidence: 99%
“…On the other hand, from the perspective of attentive agents one could regard the excess return predictability as entirely the result of time-varying risk premia. 27 If rp t is the risk premium of attentives, we have E t q t+1 = rp t , where E t is the expectation of attentives. The excess return is then the sum of the risk premium and the expectational error of attentives: q t+1 = rp t + (q t+1 E t q t+1 ).…”
Section: Results For Benchmark Parameterizationmentioning
confidence: 99%