Unpacking a multi-faceted program to build sustainable income for the very poor (doi:10.7910/DVN/AY2MMB)

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Part 2: Study Description
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Document Description

Citation

Title:

Unpacking a multi-faceted program to build sustainable income for the very poor

Identification Number:

doi:10.7910/DVN/AY2MMB

Distributor:

Harvard Dataverse

Date of Distribution:

2022-05-03

Version:

1

Bibliographic Citation:

Banerjee, Abhijit; Karlan, Dean; Osei, Robert; Trachtman, Hannah; Udry, Christopher, 2022, "Unpacking a multi-faceted program to build sustainable income for the very poor", https://doi.org/10.7910/DVN/AY2MMB, Harvard Dataverse, V1

Study Description

Citation

Title:

Unpacking a multi-faceted program to build sustainable income for the very poor

Identification Number:

doi:10.7910/DVN/AY2MMB

Authoring Entity:

Banerjee, Abhijit (MIT)

Karlan, Dean (Northwestern University)

Osei, Robert (University of Ghana, Legon)

Trachtman, Hannah (Hebrew University of Jerusalem)

Udry, Christopher (Northwestern University)

Producer:

Innovations for Poverty Action

Software used in Production:

SurveyCTO

Software used in Production:

Stata

Distributor:

Harvard Dataverse

Access Authority:

Research Transparency, Data Ethics, and Governance

Depositor:

Global Research and Data Support, Innovations for Poverty Action

Date of Deposit:

2022-04-29

Holdings Information:

https://doi.org/10.7910/DVN/AY2MMB

Study Scope

Keywords:

Social Sciences, Social Sciences, Poverty alleviation, Returns to capital

Abstract:

A multi-faceted program comprising a grant of productive assets, training, unconditional cash transfers, coaching, and savings has been found to build sustainable income for those in extreme poverty. We focus on two important questions: whether a mere grant of productive assets would generate similar impacts (it does not), and whether access to a savings account with a deposit collection service would generate similar impacts (it does, but they are short-lived).

Time Period:

2011-01-01-2013-12-31

Date of Collection:

2011-01-01-2013-12-31

Country:

Ghana

Unit of Analysis:

Individual

Kind of Data:

Survey data

Methodology and Processing

Data Collector:

Innovations for Poverty Action

Sampling Procedure:

Implementers identified poor communities in poor regions of the country, and then worked with members of that community to rank households by economic status. Finally, staff members verified households judged to be the poorest.

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

Unpacking_Replication.zip

Notes:

application/zip