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Study Overview

GiveDirectly Iganga Cash Transfer Program
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In partnership with funders BSZ, GiveDirectly have developed an intervention and study designed to understand the impact of cash transfers on a specific group of recipients, coffee farmers, as well as other, non-coffee farming households in the treatment group. The intention is to explore the subject that BSZ has asked GiveDirectly to test, namely: the impact of cash transfers on these two groups. This study also provides the opportunity to expand the evidence-base on for whom large capital transfers have an impact, and what those impacts are.
Agriculture and Rural Development
Health, Nutrition, and Population
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Principal Investigator(s)

Name of First PI:
Michael Faye
Name of Second PI:
Joe Huston

Study Sponsor

Benckiser Stiftung Zukunft foundation
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Research Partner

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Private firm

Intervention Overview

GiveDirectly provides an end-to-end platform that enables funders to give direct cash transfers to the extreme poor. The organization locates poor communities using publicly available data and then sends field staff door-to-door to digitally collect data on poverty and enroll recipients. GiveDirectly targets households using criteria that vary by region, including aggregating a range of poverty-related factors. Additionally, they use a set of independent checks to verify that recipients are eligible and did not pay bribes. GiveDirectly transfers recipient households roughly one year's budget for a typical household. They use electronic payment systems; typically, recipients receive an SMS alert and then collect cash from a mobile money agent in their village or nearest town. GiveDirectly calls each recipient to verify receipt of funds, flag issues, and assess their customer service. In addition, GiveDirectly staffs a hotline for inbound calls and in some cases conducts follow-ups in-person. GiveDirectly will deliver UCTs of 3,400,000 UGX (equivalent to ~1,000 USD) to approximately 3,600 households in the Iganga district of Uganda.
Multiple Treatment Arms Evaluated?

Implementing Agency

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NGO (International)

Program Funder

Name of Organization:
Benckiser Stiftung Zukunft foundation
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Intervention Timing

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Evaluation Method

Evaluation Method Overview

Primary (or First) Evaluation Method:
Randomized control trial
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Method Details

Details of Evaluation Approach:
GiveDirectly will answer the following questions in this evaluation: Question 1 What is the impact of a UCT on households’ productivity and welfare in Iganga? GiveDirectly will focus on agricultural productivity and welfare measured through income, assets, and consumption. Question 2 What is the impact of the UCTs on coffee farmers? Besides looking at the overall effects described above, GiveDirectly will also focus on the effect of cash transfers on coffee investment, productivity, and sales for coffee farmers. There are two arms to this study – treatment and control – with two subgroups in each arm: coffee and non-coffee farmers. GiveDirectly will be evaluating the impact of the cash transfers by comparing the treatment and control arms. GiveDirectly will also look at the impact of the intervention on coffee and non-coffee farmers separately. This evaluation will establish causal impact through an RCT. After the completion of the initial census, GiveDirectly will randomly assign eligible households to the treatment or control groups. Randomization will happen at the household level – this is the unit of treatment.
Outcomes (Endpoints):
In order to conduct effective inference, GiveDirectly will shrink the space of outcome variables to a handful of key outcomes and indices. All indices will be created according to the procedure described in Anderson (2008). The following outcomes will apply for all households: • Total household consumption • Total asset value • Total value of production of major crops • Food security index The following indicators will be used as outcomes for just coffee farmers: • Coffee investment index • Revenue from coffee sales
1. Total Household Consumption : Food expenditure Value of own-produced food consumed Temptation good expenditure Other frequent consumption Agricultural Spending Infrequent Consumption 2. Total estimated value of owned assets: Bicycle Motorcycle/scooter Car/truck Kerosene stove Radio/Casette player/CD player Sewing machine Kerosene Lantern Bed Mattress Bednet Tables Sofa pieces Chair Cupboards/dressers Clock or Watch Electric Iron Television Mobile Phone Car Battery Hoes Pangas Hand Cart Wheelbarrow Ox plow Solar panel Generator Livestock 3. Total value of production of major crops 4. Food Security Index (same as Haushofer and Shapiro 2014) 5. Coffee Investment Index Number of Coffee Trees owned/Land dedicated to coffee Respondent stumped (rehabilitated) coffee trees Respondent pruned coffee trees Amount spent on hired labor for coffee Amount spent processing/transporting coffee Amount spent on other coffee inputs % of cherries sold that were picked once ripe Coffee price per kilogram 6. Revenue from Coffee sales
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Number of Individuals in Sample:
3778 households
Size of Treatment, Control, or Comparison Subsamples:
1894 treatment households, 1894 control households

Supplementary Files

Analysis Plan:
20170131 Pre-Analysis Plan GiveDirectly for RIDIE publication.docx
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Outcomes Data

Data is collected by GiveDirectly Field Officers using smartphones. GiveDirectly uses Segovia, a technology company, for all data management (i.e. controlling the survey instrument, accepting incoming data, and storing incoming data). After the initial census, IDinsight applied GiveDirectly’s eligibility criteria, with randomization, to the data and provided GiveDirectly with the list of households that are eligible to receive cash transfers. The survey was administered through ONA – an Open Dat
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Treatment Assignment Data

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Data Analysis

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Study Materials

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Registration Category

Registration Category:
Prospective, Category 1: Data for measuring impacts have not been collected

Completion Overview

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Study Stopped