Replication Data for: Social protection amidst social upheaval: Examining the impact of a multi-faceted program for ultra-poor households in Yemen

Dataset

Description

Social protection programs are needed more than ever during periods of social upheaval, but are also likely to be even harder to implement successfully. Furthermore, social upheaval makes measuring the impact of such policies all the more difficult. We study the impact of a multi-faceted social protection program, often referred to as a “Graduation” model program, in Yemen during a period of civil unrest. We are unable to measure outcomes for four years, thus much remains unknown about what transpired in the intermediary time. After four years we find positive impacts on savings behavior and asset accumulation, albeit substantially less than the amount the household originally received.
Date made available2021
PublisherHarvard Dataverse

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