R package DCchoice for dichotomous choice contingent valuation : a contribution to open scientific software and its impact

Aizaki, Hideo; Nakatani, Tomoaki; Sato, Kazuo et al.

Japanese Journal of Statistics and Data Science, 2022, 5, 871-884

Permalink : https://hdl.handle.net/2115/87112

このアイテムのアクセス数:420件（2026-01-23 19:22 集計）

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https://doi.org/10.1007/s42081-022-00171-1      

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アクセス権
metadata only access
URI
https://hdl.handle.net/2115/87112
タイトル
R package DCchoice for dichotomous choice contingent valuation : a contribution to open scientific software and its impact
著者
Aizaki, Hideo ; Nakatani, Tomoaki ; Sato, Kazuo ; Fogarty, James
e-Rad_Researcher
00343765
著者名
Aizaki, Hideo
著者名
Nakatani, Tomoaki
著者名
Sato, Kazuo
著者名
Fogarty, James
言語
英語
キーワード
Contingent valuation
Dichotomous choice
R package
Stated preference method
発行日
2022-12
出版者
Springer Nature
収録物名
Japanese Journal of Statistics and Data Science
巻(号)
5
ページ
871-884
抄録
The R package DCchoice is designed to mitigate programing-related barriers to the application of dichotomous choice contingent valuation (DCCV) methods in empirical studies. Since its release in 2014, DCchoice has been updated. This paper introduces the current version of DCchoice which supports single-, one-and-one-half-, and double-bounded DCCVs, with and without a spike. Additionally, the willingness-to-pay and its confidence intervals can be calculated for a representative respondent as well as for a user-defined specific respondent using the current version. The associated web tutorial and R Commander plug-in for basic usage of DCchoice are also available. DCchoice has advanced DCCV applications in various fields.
資源タイプ
学術雑誌論文
出版タイプ
Version of Record
PISSN
2520-8756
関連情報 (isIdenticalTo)
出版社版DOI
https://doi.org/10.1007/s42081-022-00171-1