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Log-concave Probability Distributions: Theory and Statistical Testing

  • Mark Yuying An

    (Duke University)

This paper studies the broad class of log-concave probability distributions that arise in economics of uncertainty and information.

(This abstract was borrowed from another version of this item.)

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Paper provided by EconWPA in its series Game Theory and Information with number 9611002.

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Length: 31 pages
Date of creation: 17 Nov 1996
Date of revision:
Handle: RePEc:wpa:wuwpga:9611002
Note: Type of Document - LaTex; prepared on UNIX Sparc TeX; to print on PostScript; pages: 31 ; figures: request from author. We never published this piece and now we would like to reduce our mailing and xerox cost by posting it.
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  1. Burdett, Kenneth & Ondrich, Jan I, 1985. "How Changes in Labor Demand Affect Unemployed Workers," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 1-10, January.
  2. Christopher J. Flinn & James J. Heckman, 1982. "Are Unemployment and Out of the Labor Force Behaviorally Distinct Labor Force States?," NBER Working Papers 0979, National Bureau of Economic Research, Inc.
  3. Mark Bagnoli & Ted Bergstrom, 2005. "Log-concave probability and its applications," Economic Theory, Springer, vol. 26(2), pages 445-469, 08.
  4. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-49, September.
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