R package DCchoice for dichotomous choice contingent valuation: a contribution to open scientific software and its impact-Reference-Cited by-同舟云学术

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

Published:2022-07-26 Issue:2 Volume:5 Page:871-884
ISSN:2520-8756
Container-title:Japanese Journal of Statistics and Data Science
language:en
Short-container-title:Jpn J Stat Data Sci

Author:

Aizaki Hideo^ORCID,Nakatani Tomoaki,Sato Kazuo,Fogarty James

Abstract

AbstractThe 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.

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42081-022-00171-1.pdf

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