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Experimental Design to Persuade

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Author Info

  • Anton Kolotilin

    ()
    (School of Economics, the University of New South Wales)

Abstract

A sender chooses ex ante how information will be disclosed ex post. A receiver obtains public information and information disclosed by the sender. Then he takes one of two actions. The sender wishes to maximize the probability that the receiver takes the desired action. I show that the sender optimally discloses only whether the receivers utility is above a cutoff. I derive necessary and sufficient conditions for the senders and receivers welfare to be monotonic in information. Most notably, the senders welfare increases with the precision of the senders potential information and decreases with the precision of public information.

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File URL: http://research.economics.unsw.edu.au/RePEc/papers/2013-17.pdf
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Bibliographic Info

Paper provided by School of Economics, The University of New South Wales in its series Discussion Papers with number 2013-17.

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Length: 28 pages
Date of creation: Jun 2013
Date of revision:
Handle: RePEc:swe:wpaper:2013-17

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Related research

Keywords: information; disclosure; persuasion; stochastic orders;

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References

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  1. Paul R. Milgrom, 1979. "Good Nevs and Bad News: Representation Theorems and Applications," Discussion Papers 407R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  2. Ivanov, Maxim, 2010. "Informational control and organizational design," Journal of Economic Theory, Elsevier, vol. 145(2), pages 721-751, March.
  3. Péter Eső & Bal�zs Szentes, 2007. "Optimal Information Disclosure in Auctions and the Handicap Auction," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 705-731.
  4. Dirk Bergemann & Martin Pesendorfer, 2001. "Information Structures in Optimal Auctions," Cowles Foundation Discussion Papers 1323, Cowles Foundation for Research in Economics, Yale University.
  5. Anton Kolotilin, 2013. "Optimal Information Disclosure: Quantity vs. Quality," Discussion Papers 2013-19, School of Economics, The University of New South Wales.
  6. Jonathan Levin & Susan Athey, 2001. "The Value of Information in Monotone Decision Problems," Working Papers 01003, Stanford University, Department of Economics.
  7. Luis Rayo & Ilya Segal, 2010. "Optimal Information Disclosure," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 949 - 987.
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Cited by:
  1. Anton Kolotilin, 2013. "Optimal Information Disclosure: Quantity vs. Quality," Discussion Papers 2013-19, School of Economics, The University of New South Wales.

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