Increasing the transparency of stated choice studies for policy analysis

Designing experiments to produce raw response graphs

Bibliographic Data

ID11684103
AuthorsDipika Sur (National Institute of Cholera and Enteric Diseases, corresponding author), Joseph Cook (0000-0002-3998-6597, University of North Carolina at Chapel Hill), Susmita Chatterjee (0000-0002-0937-7205, Indian Institute Of Bio social Research And Development), Jacqueline Deen (0000-0001-8875-5026, International Vaccine Institute), Dale Whittington (0000-0002-6075-8812, University of North Carolina at Chapel Hill)
Year2006
Volume26
Issue1
Pages189-199
Publication date2006-11-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Policy Analysis and Management (JOURNAL)
Journal identifiersISSN: 0276-8739 • E-ISSN: 1520-6688
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pam.20237
OpenAlexW2062247917
LanguageEN
Citations received4
References cited10

We believe a lack of transparency undermines both the credibility of, and interest in, stated choice studies among policy makers. Unlike articles reporting the results of contingent valuation studies, papers in the stated choice literature rarely present simple tabulations of raw response data (that is, a table or graph showing the percentage of respondents agreeing to purchase a good or service, or vote for a proposed management plan as a function of price). We describe an approach for adding “policy” tasks to a standard orthogonal‐in‐attribute‐levels research design that allows the researcher to plot raw responses as a function of changes in only one characteristic of the offered good or service. We demonstrate this approach using data from a stated choice study of private demand for cholera and typhoid vaccines in Kolkata, India, carried out in the summer of 2004. © 2006 by the Association for Public Policy Analysis and Management

Actuarial science · Computer security · Credibility · Economics · Operations research · Policy analysis · Political science · Public economics · Raw data · Transparency (behavior · Valuation (finance · Computer Science · Economic and Environmental Valuation · Mathematics · Accounting

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