Log-concave Probability Distributions: Theory and Statistical Testing
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.)
|Date of creation:||17 Nov 1996|
|Date of revision:|
|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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References listed on IDEAS
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- A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
- Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-49, September.
- Bagnoli, M. & Bergstrom, T., 1989.
"Log-Concave Probability And Its Applications,"
89-23, Michigan - Center for Research on Economic & Social Theory.
- Flinn, Christopher J & Heckman, James J, 1983.
"Are Unemployment and Out of the Labor Force Behaviorally Distinct Labor Force States?,"
Journal of Labor Economics,
University of Chicago Press, vol. 1(1), pages 28-42, January.
- 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.
- 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.
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