Impacts of reducing water collection times in rural Kenya: School-aged Children Impacts of reducing water collection times in rural Kenya: School-aged Children snd1294-2-1 MS-105 https://doi.org/10.5878/3est-4n47 Swedish National Data Service Svensk nationell datatjänst Landing page Impacts of reducing water collection times in rural Kenya: School-aged Children Impacts of reducing water collection times in rural Kenya: School-aged Children snd1294-2-1 MS-105 https://doi.org/10.5878/3est-4n47 Kabubo-Mariara, Jane Kabubo-Mariara, Jane Kimuyu, Peter Kimuyu, Peter Cook, Joseph Cook, Joseph Swedish National Data Service Svensk nationell datatjänst Environment for Development Environment for Development (EfD) is a global network of environmental economics research centers solving the world’s most pressing environmental and development challenges. We contribute to effective management of the environment in the Global South through policy-relevant research, capacity development and policy engagement. Environment for Development (EfD) är ett globalt nätverk av forskningscentra inom miljöekonomi som arbetar med att lösa världens mest angelägna miljö- och utvecklingsutmaningar. Vi bidrar till en effektiv förvaltning av miljön i det globala syd genom policyrelevant forskning, kapacitetsutveckling och policyengagemang. Landing page RURAL AREAS LANDSBYGD water collection vattentäkt ECONOMICS EKONOMI Economic systems and development Ekonomiska system och ekonomisk utveckling Social conditions and indicators Sociala förhållanden och indikatorer Time use Tidsanvändning PSYCHOLOGY PSYKOLOGI We measured momentary well-being using the Experience Sampling Method (ESM) among 220 water collectors in rural Meru County, Kenya over eight weeks. Subjects reported on affect and time use at four randomly-chosen times through the day (Monday through Saturday) on a custom-designed ODK survey app, deployed on a low-cost smartphone. Subjects completed a second ODK survey each weekday evening, reporting on school attendance, study time and chores performed for each school-aged child in the household. After several weeks of baseline data, half of households were randomly chosen to receive free delivery of water to their door for four weeks, reducing water collection times to (near) zero. In-person baseline, midline and endline surveys were conducted by enumerators. The data from the daily survey of school-children is in the file “Meru schoolkids.dta”. These can be linked back to the household level data in “Meru ESM RCT” using phoneid, and to the child-specific variables using the variable “pid”. The matching was done based on manually matching names in the baseline survey and this schoolchildren survey. To protect confidentiality, these names cannot be included. Where the pid field is missing either the name of the child was missing or could not be reasonably matched to the name of a child in the household. We measured momentary well-being using the Experience Sampling Method (ESM) among 220 water collectors in rural Meru County, Kenya over eight weeks. Subjects reported on affect and time use at four randomly-chosen times through the day (Monday through Saturday) on a custom-designed ODK survey app, deployed on a low-cost smartphone. Subjects completed a second ODK survey each weekday evening, reporting on school attendance, study time and chores performed for each school-aged child in the household. After several weeks of baseline data, half of households were randomly chosen to receive free delivery of water to their door for four weeks, reducing water collection times to (near) zero. In-person baseline, midline and endline surveys were conducted by enumerators. The data from the daily survey of school-children is in the file “Meru schoolkids.dta”. These can be linked back to the household level data in “Meru ESM RCT” using phoneid, and to the child-specific variables using the variable “pid”. The matching was done based on manually matching names in the baseline survey and this schoolchildren survey. To protect confidentiality, these names cannot be included. Where the pid field is missing either the name of the child was missing or could not be reasonably matched to the name of a child in the household. 2015-08-01 2015-08-31 Kenya Kenya HouseholdHousehold HushållHushåll IndividualIndividual IndividIndivid Households in rural Kenya without a private water connection at home Households in rural Kenya without a private water connection at home Numeric Text Time seriesTime series TidsserieTidsserie See papers for more details.See papers for more details. ProbabilityProbability SannolikhetsurvalSannolikhetsurval Face-to-face interview: Computer-assisted (CAPI/CAMI)Face-to-face interview: Computer-assisted (CAPI/CAMI) Personlig intervju: CAPI/CAMIPersonlig intervju: CAPI/CAMI Access to data through SND. Access to data is restricted. Åtkomst till data via SND. Tillgång till data är begränsad. restrictedAccess RFF-EfD Discussion Paper 18-07 (working paper) RFF-EfD Discussion Paper 18-07 (working paper) 2018