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A Necessary Condition for Semiparametric Efficiency of Experimental Designs

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  • Hisatoshi Tanaka

    (School of Political Science and Economics, Waseda University)

Abstract

Efficiency of estimation depends not only on a method of the estimation, but also on the distribution of data. In statistical experiments, statisticians can at least partially design the data generating process to obtain high performance of the estimation. In this paper, a necessary condition for the semiparametrically efficient experimental design is proposed. A formula to determine the efficient distribution of input variables is derived. An application to the optimal bid design problem of contingent valuation survey experiments is presented.

Suggested Citation

  • Hisatoshi Tanaka, 2021. "A Necessary Condition for Semiparametric Efficiency of Experimental Designs," Working Papers 2024, Waseda University, Faculty of Political Science and Economics.
    • Handle: RePEc:wap:wpaper:2024
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    References listed on IDEAS

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    1. John W. Duffield & David A. Patterson, 1991. "Inference and Optimal Design for a Welfare Measure in Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 67(2), pages 225-239.
    2. Joseph Cooper & John Loomis, 1992. "Sensitivity of Willingness-to-Pay Estimates to Bid Design in Dichotomous Choice Contingent Valuation Models," Land Economics, University of Wisconsin Press, vol. 68(2), pages 211-224.
    3. Cosslett, Stephen R, 1983. "Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model," Econometrica, Econometric Society, vol. 51(3), pages 765-782, May.
    4. Groeneboom,Piet & Jongbloed,Geurt, 2014. "Nonparametric Estimation under Shape Constraints," Cambridge Books, Cambridge University Press, number 9780521864015.
    5. Cooper Joseph C., 1993. "Optimal Bid Selection for Dichotomous Choice Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 25-40, January.
    6. K. G. Mäler & J. R. Vincent (ed.), 2006. "Handbook of Environmental Economics," Handbook of Environmental Economics, Elsevier, edition 1, volume 2, number 2.
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    Keywords

    Optimal Design Semiparametric Efficiency Binary Response Model Contingent Valuation Survey Experiments;

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