Replication Data for: Consumer demand heterogeneity and valuation of value added pulse products: a case of precooked beans in Ugandahttps://doi.org/10.7910/DVN/01ZDE9Aseete, PaulMutua, MercyKatungi, EnidBonabana Wabbi, JacklineBirachi, EliudUgen, Michael AdroguHarvard Dataverse2018-12-052019-07-08T15:58:54ZThe data is from a survey conducted in Central Uganda in August 2015 by the National Crops Resources Research Institute in collaboration with CIAT-PABRA. This study investigated consumer demand heterogeneity and valuation of a processed bean product— “precooked beans” with substantially reduced cooking time. The study aimed at segmenting potential consumers of precooked beans and to determine their willingness to pay for the same when introduced on the market. Data file consists of variables on: i) consumer choices/preferences collected using a choice experiment, ii) social and demographics, iii) bean consumption dynamics, bean preparation methods, perceptions of food processing and market access.Agricultural SciencesEarth and Environmental SciencesConsumerDemandChoice experimentsBeanAfricaAgrobiodiversity - AGBIOAseete, Paul, Katungi, Enid, Bonabana-Wabbi, Jackline, Birachi, Eliud, & Ugen, Michael Adrogu (2018). Consumer demand heterogeneity and valuation of value-added pulse products: a case of precooked beans in Uganda. Agriculture & Food Security, 7:51., doi, 10.1186/s40066-018-0203-3, https://doi.org/10.1186/s40066-018-0203-32018-12-05Barboza Candelo, Juliette2018-11-262014-092015-082015-08-172015-08-25Survey DataSocio-economic DataUganda<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> <Strong>Disclaimer</Strong> <P> Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. </P>