Learning while searching for the best alternative.

This paper delivers the solution to an optimal search problem where the searcher faces more than one search alternative and is learning about the attractiveness of the respective alternatives during the search process. The optimal sampling strategy is characterized by simple reservation prices that...

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Detalles Bibliográficos
Publicado en:Journal of Economic Theory Vol. 101; no. 1; pp. 252 - 281
Autor principal: Adam, Klaus
Formato: Artículo
Publicado: Academic Press Inc. November 2001
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        Employment
        Search theory
        Reservation wage
        Statistical sampling
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          Employment
          Search theory
          Reservation wage
          Statistical sampling
      keyword: Search theory (Employment)
      ab: This paper delivers the solution to an optimal search problem where the searcher faces more than one search alternative and is learning about the attractiveness of the respective alternatives during the search process. The optimal sampling strategy is characterized by simple reservation prices that determine which of the search alternatives to sample and when to stop searching. The reservation price criterion is optimal for a large class of learning rules, including Bayesian, nonparametric, and ad-hoc learning rules. The considered search problem contains as special cases many earlier contributions to the search literature and thereby unifies and generalizes two directions of research; search with learning from a single search alternative and search without learning from several search alternatives. Journal of Economic Literature Classification Numbers: D81, D83.|Sc 2001 Elsevier Science.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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