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

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Title: R package DCchoice for dichotomous choice contingent valuation : a contribution to open scientific software and its impact
Authors: Aizaki, Hideo Browse this author →KAKEN DB
Nakatani, Tomoaki Browse this author
Sato, Kazuo Browse this author
Fogarty, James Browse this author
Keywords: Contingent valuation
Dichotomous choice
R package
Stated preference method
Issue Date: Dec-2022
Publisher: Springer Nature
Journal Title: Japanese Journal of Statistics and Data Science
Volume: 5
Start Page: 871
End Page: 884
Publisher DOI: 10.1007/s42081-022-00171-1
Abstract: 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.
Type: article
URI: http://hdl.handle.net/2115/87112
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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