Impacts of reducing water collection times in rural Kenya: School-aged Children
SND-ID: snd1294-2. Version: 1. DOI: https://doi.org/10.5878/3est-4n47
Is part of collection at SND: Environment for Development
Citation
Creator/Principal investigator(s)
Jane Kabubo-Mariara - Partnership for Economic Policy
Peter Kimuyu - Commission on Revenue Allocation, Government of Kenya
Joseph Cook - Washington State University, School of Economics
Research principal
University of Gothenburg
- Environment for Development, School of Business, Economics and Law
Principal's reference number
MS-105
Description
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 schoolchil
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. Show less..
Data contains personal data
No
Language
Unit of analysis
Population
Households in rural Kenya without a private water connection at home
Time Method
Sampling procedure
Time period(s) investigated
2016-08 – 2016-10
Lowest geographic unit
Constituency
Highest geographic unit
Province
Responsible department/unit
Environment for Development, School of Business, Economics and Law
Ethics Review
Ref. 52167
Ethics approval from the University of Washington (USA) Institutional Review Board
Research area
Social sciences (Standard för svensk indelning av forskningsämnen 2011)
Economics (CESSDA Topic Classification)
Economic systems and development (CESSDA Topic Classification)
Social conditions and indicators (CESSDA Topic Classification)
Time use (CESSDA Topic Classification)
Psychology (CESSDA Topic Classification)
RFF-EfD Discussion Paper 18-07 (working paper)
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