PPI Blog

William Neuheisel's picture
William Neuheisel
• 10/01/15
• Posted in Change over Time
• 0 Comments

Rigorously tracking changes in poverty over time is perhaps not the easiest aspect of social performance management, but we are seeing more and more PPI users begin to tackle it. We believe this trend can’t come soon enough, given the recent questions around whether MFIs and other social businesses are doing enough to measure and maximize their impact.

So we met recently with our friends at VisionFund International to learn how they are solving the challenges of tracking change in client poverty estimates over time.

...Read More >
Anne Hastings's picture
Anne Hastings
• 09/14/15
• 0 Comments

Guest-blog by Anne Hastings, Executive Director, Microfinance CEO Working Group. Cross-posted from CFI-Accion.

At a time when microfinance has fallen out of favor in mainstream development circles and when investors are asking to see metrics showing the impact of their funding, it is especially important to base our discussions of poverty outreach on empirical research. Grameen Foundation and the International Finance Corporation (IFC) recently published a study that does just this. Factors Influencing Poverty Outreach Among Microfinance Institutions in Latin America (also available in Spanish) takes a close look at poverty outreach data from 14 microfinance institutions (MFIs) across six Latin American countries and is the first study of its kind in the region.

...Read More >
Julie Peachey's picture
Julie Peachey
• 07/02/15
• 0 Comments

As the Progress out of Poverty Index® (PPI®) grows – both in scale and across more diverse users – the Grameen Foundation and Mark Schreiner are focused on developing a sustainable model that current and future users can rely on, well into the future.

...Read More >
William Neuheisel's picture
William Neuheisel
• 06/08/15
• 0 Comments

Operating in Bangladesh since 2003, Katalyst is one of the oldest and largest pro-poor market development projects in the world. In its first five years, Katalyst proved itself as a high-impact program, generating widespread job growth and increased income for farmers. In 2008 however, an organizational strategy review identified a major area for improvement: Katalyst wasn’t sure how accurately it was targeting its interventions toward people living in poverty.

...Read More >
Frank Ballard's picture
Frank Ballard
• 04/27/15
• 0 Comments

One child in ten thousand in Sub-Saharan Africa is blind due to cataracts. In developed countries, cataract blindness is a very treatable condition. However, in Malawi, despite efforts to offer free cataract surgery to children in need, at least a third of cataract blind children identified at outreach clinics do not seek surgery within three months of being identified. Uptake of this free medical service remains concerning. There were a number of reasons identified by researchers for this problem:

...Read More >
Elaine Chang's picture
Elaine Chang
• 04/22/15
• Posted in Data Collection
• 0 Comments

Cross-posted from TaroWorks' Blog

TaroWorks now enables you to see Progress out of Poverty Index (PPI) results with built-in reports and dashboards. In addition to accessing all PPI scorecard questions through TaroWorks’ survey library, organizations can now see aggregated results as surveys are submitted.

...Read More >
Frank Ballard's picture
Frank Ballard
• 04/19/15
• 0 Comments

The Committee on Sustainability Assessment (COSA), a global consortium that researches and promotes science-based impact assessment tools for agricultural producers, has released a synthesis of its 2013 report “Testing the Progress out of Poverty Index in the COSA Platform.” In 2012, COSA realized that a widely-applicable poverty assessment tool would complement its own suite of tools, and this report presents the findings of its review of tools and testing of the PPI.

...Read More >
Frank Ballard's picture
Frank Ballard
• 03/13/15
• 0 Comments

1. Average poverty likelihoods, not PPI scores.

To calculate a poverty rate for a group of individuals, first convert each individual’s PPI score to a poverty likelihood using the Look-up Table. Second (and finally) average all of the poverty likelihoods to calculate the poverty rate. This simple method is the only way to accurately calculate a poverty rate estimate using the PPI.

...Read More >
Frank Ballard's picture
Frank Ballard
• 02/11/15
• 0 Comments

Many smallholder farmers in Eastern Kenya are at a disadvantage when selling their crops on the market. They tend to lack adequate storage for their crops, as well as access to financial services and integration into the market. Due to these factors, poorer farmers often sell their crops at harvest to earn much needed income, when markets are flooded and crop prices are low.

...Read More >
Lindsey Longendyke's picture
Lindsey Longendyke
• 09/12/14
• Posted in data analysis
• 0 Comments

Perhaps one of the most exciting and appealing uses of the Progress out of Poverty Index is what we call a “poverty movement analysis.” When an organization collects PPI data from its clients over the course of multiple years, it can compare poverty rates between two points in time to determine if, on average, clients’ poverty levels are improving. For any organization with a mission to reduce poverty, this analysis is critically important.

...Read More >

Pages