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Public works and cash transfers in urban Ethiopia: evaluating the Urban Productive Safety Net Program
Last registered on October 05, 2018

Pre-Trial

Trial Information
General Information
Title
Public works and cash transfers in urban Ethiopia: evaluating the Urban Productive Safety Net Program
RCT ID
AEARCTR-0003387
Initial registration date
October 05, 2018
Last updated
October 05, 2018 10:53 PM EDT
Location(s)

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Primary Investigator
Affiliation
London School of Economics
Other Primary Investigator(s)
PI Affiliation
Ethiopian Development Research Institute
PI Affiliation
World Bank
Additional Trial Information
Status
On going
Start date
2016-10-01
End date
2019-12-01
Secondary IDs
Abstract
The UPSNP is a comprehensive social protection program that is designed to enhance the income of households living in the urban areas of Ethiopia, with the aim to reduce poverty and vulnerability. Beneficiaries engage in public works (PW) program or if they are unable to work, they receive an unconditional direct support transfer (DS).

This document outlines the pre-analysis plan to study the effects of the UPSNP in Addis Ababa, Ethiopia, one year after it started. The evaluation takes advantage of the randomization of the program at the woreda (urban district) level during its first year of implementation. Of the 90 eligible woredas in Addis, 35 were randomly assigned to start implementation right away (in year 1) while the remaining 55 were assigned to start implementation approximately 12 months later (in year 2).

We study the effect of the program on household welfare, labour supply, and attitudes towards gender norms and welfare recipients. We do so by comparing households enrolled in the program in areas randomly selected to receive the program in year 1 to households enrolled in the program when it is rolled out in control neighbourhoods in year 2.

With this study we aim to learn about key questions about the effects of public works programs. Among other things, we ask the following questions: First, what are the effects of public works on non-public works labour supply in urban contexts where labour markets are largely unaffected by seasonality? Second, if the program leads women who have not worked before, how does participation in public works affect gender norms around women's decisions to work? Third, do urban public works programs lead to noticeable improvements in public goods in local neighbourhoods, along the intended dimensions of the work activities? Fourth, how does the arrival of a comprehensive social safety net program in urban areas affect households attitudes to welfare programs and the state?
External Link(s)
Registration Citation
Citation
Abebe, Girum, Simon Franklin and Carolina Mejia-Mantilla. 2018. "Public works and cash transfers in urban Ethiopia: evaluating the Urban Productive Safety Net Program ." AEA RCT Registry. October 05. https://doi.org/10.1257/rct.3387-2.0
Former Citation
Abebe, Girum, Simon Franklin and Carolina Mejia-Mantilla. 2018. "Public works and cash transfers in urban Ethiopia: evaluating the Urban Productive Safety Net Program ." AEA RCT Registry. October 05. https://www.socialscienceregistry.org/trials/3387/history/35336
Experimental Details
Interventions
Intervention(s)
The UPSNP is a comprehensive and large-scale social protection program that is designed to enhance the income of households living in the urban areas of Ethiopia, with the aim to reduce poverty and vulnerability. Program beneficiaries are assigned either to engage in a public works (PW) program or, if they are unable to work, they receive an unconditional direct support transfer (DS).
Intervention Start Date
2017-05-01
Intervention End Date
2019-05-01
Primary Outcomes
Primary Outcomes (end points)
See detailed pre-analysis plan.
Primary Outcomes (explanation)
See detailed pre-analysis plan.
Secondary Outcomes
Secondary Outcomes (end points)
See detailed pre-analysis plan.
Secondary Outcomes (explanation)
See detailed pre-analysis plan.
Experimental Design
Experimental Design
Urban district (woreda) level randomization. See detailed pre-analysis plan.
Experimental Design Details
Not available
Randomization Method
Public lottery.
Randomization Unit
Urban district.
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
90 urban districts
Sample size: planned number of observations
6096 households
Sample size (or number of clusters) by treatment arms
35 treated districts, 55 control districts
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Given our sample size, cluster structure and estimated intra-cluster correlations (using baseline data), we have 80% power to detect the following effect sizes at the 5% level: For household expenditure per adult equivalent: MDE = 0.16 SDs For household earnings per working age adult: MDE = 0.127 SDs
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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