@article{e52c1bbbf9e7445790d631d489831a36,
title = "The value of information in stopping problems",
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.",
keywords = "D81, D83, Information quality, Optimal fee scheme, Patience, Stopping problem, Value of information",
author = "Ehud Lehrer and Tao Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.",
year = "2024",
month = sep,
doi = "10.1007/s00199-023-01543-8",
language = "אנגלית",
volume = "78",
pages = "619--648",
journal = "Economic Theory",
issn = "0938-2259",
publisher = "Springer New York",
number = "2",
}