A Necessary Condition for Semiparametric Efficiency of Experimental Designs

Hisatoshi Tanaka

doi:10.1007/978-3-030-80209-7_77

A Necessary Condition for Semiparametric Efficiency of Experimental Designs

Hisatoshi Tanaka^*

^*Corresponding author for this work

School of Political Science and Economics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The efficiency of estimation depends not only on the method of estimation but also on the distribution of data. In statistical experiments, statisticians can at least partially design the data-generating process to obtain high estimation performance. This paper proposes a necessary condition for a semiparametrically efficient experimental design. We derived a formula to determine the efficient distribution of the input variables. The paper also presents an application to the optimal bid design problem of contingent valuation survey experiments.

Original language	English
Title of host publication	Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings
Editors	Frank Nielsen, Frédéric Barbaresco
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	718-725
Number of pages	8
ISBN (Print)	9783030802080
DOIs	https://doi.org/10.1007/978-3-030-80209-7_77
Publication status	Published - 2021
Event	5th International Conference on Geometric Science of Information, GSI 2021 - Paris, France Duration: 2021 Jul 21 → 2021 Jul 23

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12829 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Geometric Science of Information, GSI 2021
Country/Territory	France
City	Paris
Period	21/7/21 → 21/7/23

Keywords

Binary response model
Contingent valuation survey experiments
Optimal design
Semiparametric efficiency

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-80209-7_77

Cite this

Tanaka, H. (2021). A Necessary Condition for Semiparametric Efficiency of Experimental Designs. In F. Nielsen, & F. Barbaresco (Eds.), Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings (pp. 718-725). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12829 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80209-7_77

A Necessary Condition for Semiparametric Efficiency of Experimental Designs. / Tanaka, Hisatoshi.
Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings. ed. / Frank Nielsen; Frédéric Barbaresco. Springer Science and Business Media Deutschland GmbH, 2021. p. 718-725 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12829 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tanaka, H 2021, A Necessary Condition for Semiparametric Efficiency of Experimental Designs. in F Nielsen & F Barbaresco (eds), Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12829 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 718-725, 5th International Conference on Geometric Science of Information, GSI 2021, Paris, France, 21/7/21. https://doi.org/10.1007/978-3-030-80209-7_77

Tanaka H. A Necessary Condition for Semiparametric Efficiency of Experimental Designs. In Nielsen F, Barbaresco F, editors, Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 718-725. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-80209-7_77

Tanaka, Hisatoshi. / A Necessary Condition for Semiparametric Efficiency of Experimental Designs. Geometric Science of Information - 5th International Conference, GSI 2021, Proceedings. editor / Frank Nielsen ; Frédéric Barbaresco. Springer Science and Business Media Deutschland GmbH, 2021. pp. 718-725 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A Necessary Condition for Semiparametric Efficiency of Experimental Designs

Abstract

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Keywords

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