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Search and Active Learning with Correlated Information: Empirical Evidence from Mid-Atlantic Clam Fishermen

  • Marcoul, Philippe
  • Weninger, Quinn

This paper examines search with active learning and correlated information. We first develop a simple model to show how correlation affects the decision to acquire information. A unique data set on fishing site choice by mid-Atlantic clam fishermen is used to test the model predictions. Results find that clam fishermen search new sites when the catch at familiar sites declines, i.e., when the opportunity cost of gathering information is low, but also when catch at familiar sites is on the rise. Search following a catch decline occurs at spatially distant sites whereas search following a catch increase occurs at nearby sites. Correlated learning is crucial for explaining the site choice patterns in our data. These results provide new insights that may extend to a variety of economic search problems where correlated learning is important.

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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers Archive with number 11601.

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Date of creation: 01 Jan 2008
Date of revision:
Publication status: Published in Journal of Economic Dynamics and Control 2008, vol. 32, pp. 1921-1948
Handle: RePEc:isu:genres:11601
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Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070

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Fax: +1 515.294.0221
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  1. Adam, K., 1999. "Learning While Searching for the Beat Alternative," Economics Working Papers eco99/4, European University Institute.
  2. Rothschild, Michael, 1974. "Searching for the Lowest Price When the Distribution of Prices Is Unknown," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 689-711, July/Aug..
  3. Sulganik, Eyal & Zilcha, Itzhak, 1997. "The value of information: The case of signal-dependent opportunity sets," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1615-1625, August.
  4. Jeffrey Banks & David Porter & Mark Olson, 1997. "An experimental analysis of the bandit problem," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 10(1), pages 55-77.
  5. M. L. Weitzman, 1978. "Optimal Search for the Best Alternative," Working papers 214, Massachusetts Institute of Technology (MIT), Department of Economics.
  6. Pradeep Chintagunta & Tülin Erdem & Peter E. Rossi & Michel Wedel, 2006. "Structural Modeling in Marketing: Review and Assessment," Marketing Science, INFORMS, vol. 25(6), pages 604-616, 11-12.
  7. Robert J. Meyer & Yong Shi, 1995. "Sequential Choice Under Ambiguity: Intuitive Solutions to the Armed-Bandit Problem," Management Science, INFORMS, vol. 41(5), pages 817-834, May.
  8. Kohn, Meir G. & Shavell, Steven, 1974. "The theory of search," Journal of Economic Theory, Elsevier, vol. 9(2), pages 93-123, October.
  9. Rausser, Gordon C. & Small, Arthur A., 2000. "Valuing Research Leads: Bioprospecting and the Conservation of Genetic Resources," Berkeley Olin Program in Law & Economics, Working Paper Series qt4t56m5b8, Berkeley Olin Program in Law & Economics.
  10. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
  11. Simpson, R David & Sedjo, Roger A & Reid, John W, 1996. "Valuing Biodiversity for Use in Pharmaceutical Research," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 163-85, February.
  12. Ilhem Kassar & Pierre Lasserre, 2002. "Species Preservation and Biodiversity Value: A Real Options Approach," Cahiers de recherche du Département des sciences économiques, UQAM 20-18, Université du Québec à Montréal, Département des sciences économiques.
  13. Martin L. Weitzman, 1992. "On Diversity," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 363-405.
  14. Lippman, Steven A & McCall, John J, 1976. "The Economics of Job Search: A Survey," Economic Inquiry, Western Economic Association International, vol. 14(3), pages 347-68, September.
  15. Michael P. Keane & Kenneth I. Wolpin, 1994. "The solution and estimation of discrete choice dynamic programming models by simulation and interpolation: Monte Carlo evidence," Staff Report 181, Federal Reserve Bank of Minneapolis.
  16. Patrick Bolton & Christopher Harris, 1999. "Strategic Experimentation," Econometrica, Econometric Society, vol. 67(2), pages 349-374, March.
  17. McKenna, Christopher J, 1986. "Theories of Individual Search Behaviour," Bulletin of Economic Research, Wiley Blackwell, vol. 38(3), pages 189-207, September.
  18. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, 09.
  19. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
  20. Sanchirico, James N. & Wilen, James E., 2005. "Optimal spatial management of renewable resources: matching policy scope to ecosystem scale," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 23-46, July.
  21. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, 07.
  22. Martin D. Smith, 2000. "Spatial Search and Fishing Location Choice: Methodological Challenges of Empirical Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1198-1206.
  23. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
  24. Ching, Andrew, 2008. "Consumer Learning and Heterogeneity: Dynamics of Demand for Prescription Drugs after Patent Expiration," MPRA Paper 7265, University Library of Munich, Germany.
  25. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
  26. Dupont, D.P., 1993. "Price Uncertainty,Expectations Formation and Fishers' Allocation Choice," Working Papers 1993-1, Brock University, Department of Economics.
  27. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-33, Summer.
  28. Tülin Erdem & Michael Keane & T. Öncü & Judi Strebel, 2005. "Learning About Computers: An Analysis of Information Search and Technology Choice," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 207-247, September.
  29. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-30, June.
  30. Sanford J. Grossman & Richard E. Kihlstrom & Leonard J. Mirman, 1977. "A Bayesian Approach to the Production of Information and Learning By Doing," Review of Economic Studies, Oxford University Press, vol. 44(3), pages 533-547.
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