Random utility threshold models of subset choice

Citation
M. Regenwetter et al., Random utility threshold models of subset choice, AUST J PSYC, 50(3), 1998, pp. 175-185
Citations number
23
Categorie Soggetti
Psycology
Journal title
AUSTRALIAN JOURNAL OF PSYCHOLOGY
ISSN journal
00049530 → ACNP
Volume
50
Issue
3
Year of publication
1998
Pages
175 - 185
Database
ISI
SICI code
0004-9530(199812)50:3<175:RUTMOS>2.0.ZU;2-N
Abstract
Subset choice denotes a situation in which decision makers are offered avai lable sets from a fixed master set of choice alternatives and each decision maker is asked to choose a subset of any size from the available set. In t his paper, we study the relationships between various random utility models of subset choice. Random utility threshold models of subset choice assume that there is a (random) utility associated with each available option, and a (random) utility threshold, such that the decision maker selects those o ptions in the available set whose utilities are greater than or equal to th e threshold, ii special case of the random utility threshold model is the l atent scale model, in which the threshold has a constant value and the rand om variables associated with the available options are independent of each other. We show that the size-independent random utility model for approval voting of Falmagne and Regenwetter (1996) is a random utility threshold mod el, and develop numerous results relating that model to the class of random utility threshold models in general, and to the latent scale model in part icular. Among the features distinguishing some of these models is a closure property that we call stability under substructures. The size-independent model is not stable, in the sense that certain marginals of a given size-in dependent model for n choice alternatives may violate all size-independent models for n - 1 choice alternatives. In contrast, the general class of ran dom utility threshold models and also the specific subclass of latent scale models are stable under substructures.