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A Consistent Semiparametric Estimator of the Consumer Surplus Distribution

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  • Jinyong Hahn
  • Andrew D. Foster

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  • Jinyong Hahn & Andrew D. Foster, "undated". "A Consistent Semiparametric Estimator of the Consumer Surplus Distribution," Home Pages _077, University of Pennsylvania.
    • Handle: RePEc:wop:pennhp:_077
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    File URL: http://adfdell.pstc.brown.edu/papers/surp.pdf
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    References listed on IDEAS

    as
    1. Hausman, Jerry A & Newey, Whitney K, 1995. "Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss," Econometrica, Econometric Society, vol. 63(6), pages 1445-1476, November.
    2. Hausman, Jerry A, 1981. "Exact Consumer's Surplus and Deadweight Loss," American Economic Review, American Economic Association, vol. 71(4), pages 662-676, September.
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    Cited by:

    1. Hahn, Jinyong, 2001. "Consistent estimation of the random structural coefficient distribution from the linear simultaneous equations system," Economics Letters, Elsevier, vol. 73(2), pages 227-231, November.
    2. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    3. Maes, Sebastiaan & Malhotra, Raghav, 2024. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," CRETA Online Discussion Paper Series 84, Centre for Research in Economic Theory and its Applications CRETA.
    4. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
    5. Zhan Gao & M. Hashem Pesaran, 2023. "Identification and estimation of categorical random coefficient models," Empirical Economics, Springer, vol. 64(6), pages 2543-2588, June.
    6. Donald J. Brown & Rosa L. Matzkin, 1998. "Estimation of Nonparametric Functions in Simultaneous Equations Models, with an Application to Consumer Demand," Cowles Foundation Discussion Papers 1175, Cowles Foundation for Research in Economics, Yale University.

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