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Log-concave Probability Distributions: Theory and Statistical Testing

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  • Mark Yuying An

    (Duke University)

Abstract

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.)

Suggested Citation

  • Mark Yuying An, 1996. "Log-concave Probability Distributions: Theory and Statistical Testing," Game Theory and Information 9611002, University Library of Munich, Germany.
  • 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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    References listed on IDEAS

    as
    1. Mark Bagnoli & Ted Bergstrom, 2006. "Log-concave probability and its applications," Studies in Economic Theory, in: Charalambos D. Aliprantis & Rosa L. Matzkin & Daniel L. McFadden & James C. Moore & Nicholas C. Yann (ed.), Rationality and Equilibrium, pages 217-241, Springer.
    2. 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.
    3. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
    4. 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.
    5. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
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    Citations

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    Cited by:

    1. Abdi, Me’raj & Madadi, Mohsen & Balakrishnan, Narayanaswamy & Jamalizadeh, Ahad, 2021. "Family of mean-mixtures of multivariate normal distributions: Properties, inference and assessment of multivariate skewness," Journal of Multivariate Analysis, Elsevier, vol. 181(C).
    2. Wang, Jin, 2021. "Do birds of a feather flock together? Platform’s quality screening and end-users’ choices theory and empirical study of online trading platforms," International Journal of Industrial Organization, Elsevier, vol. 75(C).
    3. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    4. Ortega, J., 2000. "Job Rotation as a Mechanism for Learning," Papers 00-04, Centre for Labour Market and Social Research, Danmark-.
    5. Anup Malani, 2004. "Testing for Placebo Effects Using Data from Blinded, Randomized Controlled Trials," Econometric Society 2004 North American Summer Meetings 104, Econometric Society.
    6. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    7. Rosholm, Michael & Toomet, Ott, 2005. "A Search Model of Discouragement," IZA Discussion Papers 1633, Institute of Labor Economics (IZA).
    8. Müller, Samuel & Rufibach, Kaspar, 2008. "On the max-domain of attraction of distributions with log-concave densities," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1440-1444, September.

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    More about this item

    Keywords

    Log-concavity; Increasing Hazard Rate; Non-parametric Testing;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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