Impact evaluation

Building assets, unlocking access

KWFT housing microfinace impact evaluation final report

Evidence

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Published by
Genesis Analytics
Project implementer
Habitat for Humanity’s Terwilliger Center for Innovation in Shelter
Donor
MasterCard Foundation
Programme
Building Assets, Unlocking Access
Results level
Growth and access to services
Method
Quasi-experimental
Data source
Mixed
Intervention type
Improved access to finance

This impact evaluation assesses the attributable impact that Building Assets, Unlocking Access has had on improving a range of outcomes for clients of Kenya Women Microfinance Bank (KWFT) who have accessed the Nyumba Smart Loan, a housing microfinance product developed as part of the project.

Building Assets, Unlocking Access is a six-year project to provide technical assistance to six leading financial institutions in Uganda and Kenya as they develop housing microfinance products and nonfinancial support services for people living on US$5-10 per day.

The aim is to enable these people to secure adequate and affordable housing and improve their living conditions progressively with small, short-term loans that have affordable payment schedules, allowing them to complete incremental construction on their homes.

Intervention description

This report provides an overview of the implementing context and an outline of the project’s theory of change; a description of the sampling frame, sample size and methodology used to conduct the impact evaluation; an analysis of the project’s results, focusing on the impact achieved on the project’s indicators; and conclusions on the impact of the housing microfinance loans in the lives of Nyumba Smart Loan customers.

Evidence methodology

To identify the impact of the Nyumba Smart Loan on households, the programme assessed a counterfactual to examine what would have happened to the households in the treatment group had they not received treatment. The evaluation team used the "difference-in-differences" method and complemented it with propensity score matching to ensure that credible results of impact could still be produced while the parallel trend assumption is supported.