A Necessary Condition for Semiparametric Efficiency of Experimental Designs

Hisatoshi Tanaka ()
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Hisatoshi Tanaka: School of Political Science and Economics, Waseda University

No 2024, Working Papers from Waseda University, Faculty of Political Science and Economics

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.

Keywords: Optimal; Design; Semiparametric; Efficiency; Binary; Response; Model; Contingent; Valuation; Survey; Experiments (search for similar items in EconPapers)
Pages: 18 pages
Date: 2021-03
New Economics Papers: this item is included in nep-ecm and nep-exp
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