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Search Intensity in Experiments

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Author Info
Harrison, Glenn W
Morgan, Peter

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Abstract

The theoretical literature on the search behavior of workers and consumers typically considers three search strategies. These strategies are characterized by alternative assumptions about the temporal and atemporal intensity of search. The first strategy is an atemporally intensive fixed-sample-size strategy which restricts the agent to collecting exactly one sample of contemporaneous offers but allows him to choose the sample size. The second strategy is a temporally intensive pure-sequential strategy which allows the agent to collect as many samples as he chooses but restricts the size of each to unity. The third strategy is a variable-sample-size strategy, a generalization of the first two which allows the agent to sequentially choose both how many samples to take and the size of each sample. We report an experimental comparison and evaluation of these three search strategies. Copyright 1990 by Royal Economic Society.

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Publisher Info
Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 100 (1990)
Issue (Month): 401 (June)
Pages: 478-86
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Handle: RePEc:ecj:econjl:v:100:y:1990:i:401:p:478-86

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  1. Marcela Ibanez & Simon Czermak & Matthias Sutter, . "Searching for a better deal – On the influence of group decision making, time pressure and gender in a search experiment," Working Papers 2008-05, Faculty of Economics and Statistics, University of Innsbruck. [Downloadable!]
    Other versions:
  2. Schunk, Daniel & Winter, Joachim, 2004. "The Relationship Between Risk Attitudes and Heuristics in Search Tasks: A Laboratory Experiment," Sonderforschungsbereich 504 Publications 04-23, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
    Other versions:
  3. Babur De los Santos & Ali Hortacsu & Matthijs R. Wildenbeest, 2009. "Testing Models of Consumer Search using Data on Web Browsing and Purchasing Behavior," Working Papers 2009-05, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy. [Downloadable!]
  4. Schunk, Daniel, 2005. "Search behaviour with reference point preferences:," Sonderforschungsbereich 504 Publications 05-12, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  5. Timothy N. Cason & Shakun Datta, 2008. "Costly Buyer Search in Laboratory Markets with Seller Advertising," Purdue University Economics Working Papers 1212, Purdue University, Department of Economics. [Downloadable!]
  6. Cox, J. & Friedman, D. & Gjerstad, S., 2006. "A Trackable Model of Reciprocity and Fairness," Purdue University Economics Working Papers 1181, Purdue University, Department of Economics. [Downloadable!]
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  7. Rothlauf, Franz & Schunk, Daniel & Pfeiffer, Jella, 2005. "Classification of Human Decision Behavior: Finding," Sonderforschungsbereich 504 Publications 05-04, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  8. W. Bentley MacLeod & Mark Pingle, 2007. "Patience Versus Decisiveness in Decision-Making," Working Papers 07-004, University of Nevada, Reno, Department of Economics & University of Nevada, Reno , Department of Resource Economics. [Downloadable!]
  9. Franz Rothlauf & Daniel Schunk & Jella Pfeiffer, 2005. "Classification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms," MEA discussion paper series 05079, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
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  10. James Cox & Ronald Oaxaca, 2000. "Good News and Bad News: Search from Unknown Wage Offer Distributions," Experimental Economics, Springer, vol. 2(3), pages 197-225, March. [Downloadable!] (restricted)
  11. Ed Hopkins & Robert M. Seymour, . "Price Dispersion: an Evolutionary Approach," ELSE working papers 043, ESRC Centre on Economics Learning and Social Evolution. [Downloadable!]
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  12. John Duffy, 2008. "Macroeconomics: A Survey of Laboratory Research," Working Papers 334, University of Pittsburgh, Department of Economics, revised Mar 2008. [Downloadable!]
  13. Daniel Friedman & Kai Pommerenke & Rajan Lukose & Garrett Milam & Bernardo Huberman, 2007. "Searching for the sunk cost fallacy," Experimental Economics, Springer, vol. 10(1), pages 79-104, March. [Downloadable!] (restricted)
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  14. Daniel Houser & Michael Keane & Kevin McCabe, 2002. "Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm," Experimental 0211001, EconWPA. [Downloadable!]
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