Literature DB >> 25347316

Quantitative tests of the Perceived Relative Argument Model: comment on Loomes (2010).

Ying Guo1, Michel Regenwetter1.   

Abstract

Loomes (2010, Psychological Review) proposed the Perceived Relative Argument Model (PRAM) as a novel descriptive theory for risky choice. PRAM differs from models like prospect theory in that decision makers do not compare 2 prospects by first assigning each prospect an overall utility and then choosing the prospect with the higher overall utility. Instead, the decision maker determines the relative argument for one or the other prospect separately for outcomes and probabilities, before reaching an overall pairwise preference. Loomes (2010) did not model variability in choice behavior. We consider 2 types of "stochastic specification" of PRAM. In one, a decision maker has a fixed preference, and choice variability is caused by occasional errors/trembles. In the other, the parameters of the perception functions for outcomes and for probabilities are random, with no constraints on their joint distribution. State-of-the-art frequentist and Bayesian "order-constrained" inference suggest that PRAM accounts poorly for individual subject laboratory data from 67 participants. This conclusion is robust across 7 different utility functions for money and remains largely unaltered also when considering a prior unpublished version of PRAM (Loomes, 2006) that featured an additional free parameter in the perception function for probabilities. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

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Year:  2014        PMID: 25347316     DOI: 10.1037/a0036095

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  2 in total

1.  Testing Probabilistic Models of Choice using Column Generation.

Authors:  Bart Smeulders; Clintin Davis-Stober; Michel Regenwetter; Frits C R Spieksma
Journal:  Comput Oper Res       Date:  2018-03-08       Impact factor: 4.008

2.  The role of independence and stationarity in probabilistic models of binary choice.

Authors:  Michel Regenwetter; Clintin P Davis-Stober
Journal:  J Behav Decis Mak       Date:  2017-10-06
  2 in total

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