Impacts of reducing water collection times in rural Kenya: Meru ESM RCT

SND-ID: SND 1294

This study is part of the collection Environment for Development

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

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.

Language

English

Research principal, contributors, and funding

Research principal

University of Gothenburg

Principal's reference number

MS-105

Funding 1

  • Funding agency: Environment for Development Initiative

Funding 2

  • Funding agency: Sida (The Swedish International Development Cooperation Agency)
Protection and ethical review

Data contains personal data

No

Ethics Review

- Ref. 52167

Ethics approval from the University of Washington (USA) Institutional Review Board

Method and time period

Unit of analysis

Population

Households in rural Kenya without a private water connection at home

Time Method

Sampling procedure

Probability
See papers for more details.

Time period(s) investigated

2016-08-20 – 2016-10-08

Geographic coverage

Geographic spread

Geographic location: Kenya

Geographic description: Rural Meru County

Lowest geographic unit

Constituency

Highest geographic unit

Province

Topic and keywords

Research area

ECONOMICS, Economic systems and development, Social conditions and indicators, Time use, PSYCHOLOGY (CESSDA Topic Classification)
Social Sciences (The Swedish standard of fields of research 2011)

Publications

RFF-EfD Discussion Paper 18-07 (working paper)
:

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Dataset 1
Impacts of reducing water collection times in rural Kenya: Meru ESM RCT

Description

The dataset “Meru ESM RCT.dta” contains (in Stata format) the merged data from the ESM exercise and the baseline, midline and endline surveys. The baseline, midline and endline survey were conducted once with each household, but each household completed multiple ESM surveys. This dataset contains 12,956 observations, so to recreate the baseline, midline and endline datasets (one row per household) one would collapse the data on phoneid.
The baseline, midline and endline surveys contain some da

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Version 1

Citation

Jane Kabubo-Mariara, Peter Kimuyu, Joseph Cook. University of Gothenburg, Environment for Development, School of Business, Economics and Law (2022). Impacts of reducing water collection times in rural Kenya: Meru ESM RCT. Swedish National Data Service. Version 1. https://doi.org/10.5878/qa1e-sq29

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Data format / data structure

Numeric

Text

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

Data collection

  • Mode of collection: Face-to-face interview: CAPI/CAMI
  • Time period(s) for data collection: 2015-08-01–2015-08-31
  • Source of the data: Research data
Dataset 2
Impacts of reducing water collection times in rural Kenya: School-aged Children

Description

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 rea

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Version 1

Citation

Jane Kabubo-Mariara, Peter Kimuyu, Joseph Cook. University of Gothenburg, Environment for Development, School of Business, Economics and Law (2022). Impacts of reducing water collection times in rural Kenya: School-aged Children. Swedish National Data Service. Version 1. https://doi.org/10.5878/3est-4n47

Download citation

Data format / data structure

Numeric

Text

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

Time period(s) investigated

2016-08 – 2016-10

Data collection

  • Mode of collection: Face-to-face interview: CAPI/CAMI
  • Time period(s) for data collection: 2015-08-01–2015-08-31
  • Source of the data: Research data
Published: 2022-04-11