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Posts tagged with Measurement

Inching closer to understanding the digital finance impact question

Niamh Barry

As impact evidence grows, so should our understanding of the impact of various digital finance products on low income users. We've launched the third addition of our EGM, revealing new insights with almost double the studies since 2017.

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Wrapping up the Evidence Gap Map impact insights series—The value of community and conversation

Niamh Barry

The FiDA partnership launched version 2.0 of the Digital Finance Evidence Gap Map (EGM) in October 2018. With 55 studies examining 60 products, there are many insights to navigate. To show the types of analysis the EGM makes possible, we published a number of impact insights on a range of topics.

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Four things to be aware of in the search for digital finance impact

Niamh Barry

In previous insight pieces on savings, credit, and, Person-to-Person (P2P) transfers, we synthesized what we learned from studies in the Digital Finance Evidence Gap Map (EGM) using a product lens. However, the product lens is just one perspective, and the digital finance impact landscape is more varied and layered than this. Here we share four factors that digital finance researchers should consider when testing the impact of a digital finance product.

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Digital payments and transfers—the P2P impact story

Niamh Barry

There were 690 million registered mobile money accounts as of December 2017. The digitization of a pre-existing behavior—sending and receiving money—is clearly valued in many markets. The digital finance community now has more than 10 years of person to person (P2P) experience on which to reflect: What have we learned about the impact of P2P on clients?

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Digital Credit—What do we know about the impact on clients?

Niamh Barry

This post has been co-authored by Niamh Barry from the FiDA Partnership, and Natasha Beale, Carson Christiano, and Alexandra Wall from the Digital Credit Observatory (DCO) at the Center for Effective Global Action (CEGA).

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Digital savings—what do we know about the impact on clients?

Niamh Barry

FiDA is publishing a mini series on various insights derived from an analysis of the latest Evidence Gap Map (EGM) update. This is the second blog, others will include impact insights on digital credit and payments and transfers, the design and delivery of various products, and where (people and location) we have been looking for impacts.

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Launching the Digital Finance Evidence Gap Map 2.0

Niamh Barry

FiDA launched the first Digital Finance Evidence Gap Map (EGM) in November 2017 with 40 studies, covering 41 different products. A year on, the EGM includes 55 studies, covering 60 products. Each year reveals more insights on the impact of various digital finance products.

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Getting off the methods pedestal—how can we assess the impact of Digital Finance on clients?

Niamh Barry

Snapshot 15:’ “Approaches to determining the impact of digital finance programs” addresses one of the key questions of FiDA’s 16 Learning Themes. The FiDA Partnership synthesizes the digital finance community’s knowledge of these Learning Themes as “Snapshots” that cover topics at the client, institution, ecosystem, and impact levels. Spoiler: Snapshot 15: “Approaches to determining the

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Is digital finance changing the lives of the “excluded” for the better?

Niamh Barry

Snapshot 4: “How do advances in digital finance interact with dynamics of exclusion?” addresses one of the key questions of FiDA’s Learning Themes. The FiDA Partnership synthesizes the digital finance community’s knowledge of these Learning Themes as “Snapshots” that cover topics at the client, institution, ecosystem, and impact levels to present “current insights” about the

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Synthesizing impact evidence for digital finance—our methodology

Niamh Barry

The Digital Finance Evidence Gap Map (EGM) Methodology Paper is a companion to the interactive EGM. The EGM summarises the evidence of the effects of digital finance products on various clients, their households, and their communities. Systematic reviews can take several forms. However the use of logical and transparent methods to identify and assess studies

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