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Water scarcity impedes economic development and can be expensive or infeasible to resolve in many developing countries with recurring water service outages. In such circumstances, water supply organizations may be able to improve ancillary water service attributes to alleviate the burden of service interruptions. We use a discrete choice experiment to estimate households' willingness to pay (WTP) for improved water quality, coordinated scheduling of planned service interruptions, water use restrictions, and improved dissemination of information about upcoming service interruptions in Puerto Rico. The results indicate that households' WTP varies considerably across attributes and is greatest ($ 28/month per household) for ensuring adequate water quality. Preferences for water service improvements vary across geographic locations and latent user groups. [ABSTRACT FROM AUTHOR]

Choice experiments and experimental auctions have become popular mechanisms for estimating willingness to pay (WTP). However, these methods have primarily been used for estimating WTP for single units of goods. We analyze the results from experimental auctions and choice experiments in the context of multiple quantities of a quasi-public good (animal welfare product). We show that the use of WTP values for a single unit of a product, a common practice in experimental valuation literature, can result in underestimation of aggregate demand. We use and compare open ended choice experiments (OECE), second price Vickrey auctions, and random Nth price auctions as mechanisms for valuing WTP. Our results also suggest that individual level demand estimates from OECE are less elastic than demand estimates from uniform price auctions. [ABSTRACT FROM AUTHOR]