Optimal search from multiple distributions with infinite horizon
Jean-Michel Benkert,
Igor Letina and
Georg Nöldeke
No 262, ECON - Working Papers from Department of Economics - University of Zurich
Abstract:
With infinite horizon, optimal rules for sequential search from a known distribution feature a constant reservation value that is independent of whether recall of past options is possible. We extend this result to the the case when there are multiple distributions to choose from: it is optimal to sample from the same distribution in every period and to continue searching until a constant reservation value is reached.
Keywords: Optimal search; search intensity; infinite horizon; recall (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
Date: 2017-09, Revised 2017-12
New Economics Papers: this item is included in nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.zora.uzh.ch/id/eprint/139697/7/econwp262.pdf (application/pdf)
Related works:
Journal Article: Optimal search from multiple distributions with infinite horizon (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zur:econwp:262
Access Statistics for this paper
More papers in ECON - Working Papers from Department of Economics - University of Zurich Contact information at EDIRC.
Bibliographic data for series maintained by Severin Oswald ().