Study title

This record contains water service preference data collected from 1,560 households in Kwale county on the south coast of Kenya. A sample of 531 handpump locations was used as a sampling frame for a household survey administered in late 2013 and early 2014. 3,500 households took part in this survey of which a random draw of 1,560 households were selected to take part in a choice experiment on water service preferences. Choices included (1) maintenance service provider (public, private), (2) guaranteed days for repairs (2, 4, 6, 8), (3) cash management (treasurer/cash, bank account, mobile money), (4) monthly household payment (USD 0.5, 1.0, 1.5, 2.0). An orthogonal, main effects design generated 10 choice cards, each with two alternatives and a status quo option eliciting 10 choice responses. Participating households could also select a status quo option reflecting community maintenance and the local payment arrangements (commonly cash). The data is presented as prepared for a conditional logit model estimating the main attributes followed by interactions across four hypotheses of behavioural change: (a) multidimensional wealth, (b) education, (c) sex of respondent, and (d) household concerns. The read-me file describes steps required for estimation of the econometric latent class model specified by a discrete distribution of preferences to estimate heterogeneity.Improved understanding of groundwater risks and institutional responses against competing growth and development goals is central to accelerating and sustaining Africa's development. Africa's groundwater systems are a critical but poorly understood socio-ecological system. Explosive urban growth, irrigated agricultural expansion, industrial pollution, untapped mineral wealth, rural neglect and environmental risks often converge to increase the complexity and urgency of governance challenges across Africa's groundwater systems. These Africa-wide opportunities and trade-offs are reflected in Kenya where...