Encouraging Sanitation Investment in the Developing World: A Cluster-Randomized Trial (doi:10.7910/DVN/GJDUTV)

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Part 2: Study Description
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Encouraging Sanitation Investment in the Developing World: A Cluster-Randomized Trial

doi:10.7910/DVN/GJDUTV

Harvard Dataverse

2015-04-16

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Guiteras, Raymond; Levinsohn, James; Mobarak, Ahmed Mushfiq, 2015, "Encouraging Sanitation Investment in the Developing World: A Cluster-Randomized Trial", https://doi.org/10.7910/DVN/GJDUTV, Harvard Dataverse, V2

Encouraging Sanitation Investment in the Developing World: A Cluster-Randomized Trial

doi:10.7910/DVN/GJDUTV

Guiteras, Raymond (University of Maryland)

Levinsohn, James (Yale University)

Mobarak, Ahmed Mushfiq (Yale University)

2015

STATA

Harvard Dataverse

Research Transparency, Data Ethics, and Governance

2015-04-14

https://doi.org/10.7910/DVN/GJDUTV

Medicine, Health and Life Sciences, Social Sciences, Sanitation, Latrines, Open Defecation, Community Led Total Sanitation, Subsidies

Poor sanitation contributes to morbidity and mortality in the developing world, but there is disagreement on what policies can increase sanitation coverage. To measure the effects of alternative policies on investment in hygienic latrines, we assigned 380 communities in rural Bangladesh to different marketing treatments—community motivation and information; subsidies; a supply-side market access intervention; and a control—in a cluster-randomized trial. Community motivation alone did not increase hygienic latrine ownership (+1.6 percentage points, p=0.43), nor did the supply-side intervention (+0.3 percentage points, p=.90). Subsidies to the majority of the landless poor increased ownership among subsidized households (+22.0 percentage points, p<.001) and their unsubsidized neighbors (+8.5 percentage points, p=.001), which suggests investment decisions are interlinked across neighbors. Subsidies also reduced open defecation by 14 percentage points (p<.001).

2011-08-2013-07

Bangladesh

Northwest Bangladesh, Four Rural Unions in Tanore District, Rajashi Division

Households

A subset of all households in 107 villages (380 neighborhoods) in the four Unions.

Survey data

Innovations for Poverty Action

The treatments were randomized in a two-stage design: first, communities were randomly assigned to treatments; then, within Subsidy communities, eligible households participated in household-level lotteries for subsidy vouchers. This randomization resulted in neighborhoods being assigned to five main categories: (1) Control (number of neighborhoods, N =66); (2) Latrine Promotion Program Only (LPP) Only (N = 49); (3) LPP + Subsidy (N = 115); (4) Supply Only (N = 34); and (5) LPP + Subsidy + Supply (N = 116). Groups 1, 3, 4 and 5 represent a 2x2 experimental design, where the demand-side strategies (LPP plus subsidies) and the supply-side strategy are implemented either in isolation or in combination, and compared to a pure control group. Adding Group 2 (LPP only) allows us to separate the effect of subsidies from the LPP information and motivation campaign. The 231 Subsidy neighborhoods (Groups 3 and 5) were randomized in equal proportion to Low, Medium and High subsidy intensity, where 25% 50% and 75% of eligible households received a subsidy, respectively.

In-person interviews

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

https://www.sciencemag.org/content/early/2015/04/15/science.aaa0491.abstract?cited-by=yes&legid=sci;science.aaa0491v1

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00-Master.do

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Stata code needed to call .do files to generate all Tables and Figures

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01-Figures-DataPrep.do

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Stata code needed to create datasets for graphing

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01-Figures.do

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Stata code needed to run analysis and create main figures

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Stata code needed to create Table S1 from Supplementary Materials

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Stata dataset needed to generate all Tables and Figures

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Mobarak - Encouraging Sanitation Investment.zip

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Contains all files needed for replication (data, code, ado files) in the proper folder structure, as well as Readme files.

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