When to stop - a cardinal secretary search experiment

Angelovski, Andrej ORCID logoORCID: https://orcid.org/0000-0003-3011-8002 and Guth, Werner (2020) When to stop - a cardinal secretary search experiment. Journal of Mathematical Psychology, 98 , 102425. pp. 1-17. ISSN 0022-2496 [Article] (doi:10.1016/j.jmp.2020.102425)

PDF - Final accepted version (with author's formatting)
Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0.

Download (1MB) | Preview


The cardinal secretary search problem confronts the decision-maker with more or less candidates who have identically and independently distributed values and appear successively in a random order without recall of earlier candidates. Its benchmark solution implies monotonically decreasing sequences of optimal value aspirations (acceptance thresholds) for any number of remaining candidates. We compare experimentally observed aspirations with optimal ones for different numbers of (remaining) candidates and methods of experimental choice elicitation: “hot” collects play data, “warm” asks for an acceptance threshold before confronting the next candidate, and “cold” for a complete profile of trial-specific acceptance thresholds. The initially available number of candidates varies across elicitation methods to obtain more balanced data. We find that actual search differs from benchmark behavior, in average search length and success, but also in some puzzling qualitative aspects.

Item Type: Article
Research Areas: A. > Business School
A. > Business School > Economics
A. > Business School > Leadership, Work and Organisations
A. > School of Science and Technology > Psychology
Item ID: 30964
Notes on copyright: © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
Useful Links:
Depositing User: Andrej Angelovski
Date Deposited: 14 Sep 2020 21:40
Last Modified: 29 Nov 2022 18:17
URI: https://eprints.mdx.ac.uk/id/eprint/30964

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.