The value of information in stopping problems

Ehud Lehrer, Tao Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We consider stopping problems in which a decision maker (DM) faces an unknown state of nature and decides sequentially whether to stop and take an irreversible action, or pay a fee and obtain additional information. We discuss the value and quality of information. The former is the maximal discounted expected total payment the DM can generate under a history-dependent fee scheme. We show that among all history-dependent fee schemes, the upfront fee scheme (as opposed, for instance, to pay-for-use) is optimal: it achieves the value of information. The effects on the optimal strategy of obtaining information from a more accurate source and of having a higher discount factor are distinct, as far as expected stopping time and its distribution are concerned. However, these factors have a similar effect in that they both enlarge the set of cases in which the optimal strategy prescribes waiting.

Original languageEnglish
Pages (from-to)619-648
Number of pages30
JournalEconomic Theory
Volume78
Issue number2
DOIs
StatePublished - Sep 2024
Externally publishedYes

Funding

FundersFunder number
Deutsche ForschungsgemeinschaftKA 5609/1-1
Deutsche Forschungsgemeinschaft
National Natural Science Foundation of China11761141007, 72303161
National Natural Science Foundation of China
Capital University of Economics and BusinessXRZ2023034
Capital University of Economics and Business

    Keywords

    • D81
    • D83
    • Information quality
    • Optimal fee scheme
    • Patience
    • Stopping problem
    • Value of information

    Fingerprint

    Dive into the research topics of 'The value of information in stopping problems'. Together they form a unique fingerprint.

    Cite this