Evaluating Anti-poverty Programs

Evaluating Anti-poverty Programs
Author: Martin Ravallion
Publisher: World Bank Publications
Total Pages: 77
Release: 2005
Genre: Economic assistance, Domestic
ISBN:

"The author critically reviews the methods available for the ex-post counterfactual analysis of programs that are assigned exclusively to individuals, households, or locations. The discussion covers both experimental and non-experimental methods (including propensity-score matching, discontinuity designs, double and triple differences, and instrumental variables). Two main lessons emerge. First, despite the claims of advocates, no single method dominates; rigorous, policy-relevant evaluations should be open-minded about methodology. Second, future efforts to draw more useful lessons from evaluations will call for more policy-relevant measures and deeper explanations of measured impacts than are possible from the classic ("black box") assessment of mean impact. " -- Cover verso.

Evaluating Anti-Poverty Programs

Evaluating Anti-Poverty Programs
Author: Martin Ravallion
Publisher:
Total Pages: 77
Release: 2016
Genre:
ISBN:

The author critically reviews the methods available for the ex-post counterfactual analysis of programs that are assigned exclusively to individuals, households, or locations. The discussion covers both experimental and non-experimental methods (including propensity-score matching, discontinuity designs, double and triple differences, and instrumental variables). Two main lessons emerge. First, despite the claims of advocates, no single method dominates; rigorous, policy-relevant evaluations should be open-minded about methodology. Second, future efforts to draw more useful lessons from evaluations will call for more policy-relevant measures and deeper explanations of measured impacts than are possible from the classic (quot;black boxquot;) assessment of mean impact.

Hidden Impact?

Hidden Impact?
Author: Shaohua Chen
Publisher: World Bank Publications
Total Pages: 40
Release: 2003
Genre: Economic assistance, Domestic
ISBN:

By the widely used difference-in-difference method, the Southwest China Poverty Reduction Project had little impact on the proportion of people in beneficiary villages consuming less than $1 a day-despite a public outlay of $400 million. Is that right, or is the true impact being hidden somehow? The authors find that impact estimates are quite sensitive to the choice of outcome indicator, the poverty line, and the matching method. There are larger poverty impacts at lower poverty lines. And there are much larger impacts on incomes than consumptions. Uncertainty about the impact probably made it hard for participants to infer the gain in permanent income, so they saved a high proportion of the short-term gain.

Measuring Poverty & Evaluating Anti-poverty Policies & Programs

Measuring Poverty & Evaluating Anti-poverty Policies & Programs
Author: Hanré Chang
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

How is poverty in the United States measured? This paper identifies existing and emerging poverty measures that are used in the formulations of social policies and programs designed to address poverty. The frequency of these measurement publications plays a significant role on the effectiveness of anti-poverty policies and programs. This systematic review offers a qualitative analysis of peer-reviewed journal articles and grey literature on the subject matter of poverty in the United States. This review answers the following research questions: How is poverty measured? How is poverty addressed? How are these efforts to address poverty evaluated? The answers in this review are intended to inform further research with the ultimate goal of improving anti-poverty policies and programs.

An Assessment of the Effectiveness of Anti-Poverty Programs in the United States

An Assessment of the Effectiveness of Anti-Poverty Programs in the United States
Author: Yonatan Ben-Shalom
Publisher:
Total Pages: 50
Release: 2011
Genre: Economic assistance, Domestic
ISBN:

Abstract: We assess the effectiveness of means-tested and social insurance programs in the United States. We show that per capita expenditures on these programs as a whole have grown over time but expenditures on some programs have declined. The benefit system in the U.S. has a major impact on poverty rates, reducing the percent poor in 2004 from 29 percent to 13.5 percent, estimates which are robust to different measures of the poverty line. We find that, while there are significant behavioral side effects of many programs, their aggregate impact is very small and does not affect the magnitude of the aggregate poverty impact of the system. The system reduces poverty the most for the disabled and the elderly and least for several groups among the non-elderly and non-disabled. Over time, we find that expenditures have shifted toward the disabled and the elderly, and away from those with the lowest incomes and toward those with higher incomes, with the consequence that post-transfer rates of deep poverty for some groups have increased. We conclude that the U.S. benefit system is paternalistic and tilted toward the support of the employed and toward groups with special needs and perceived deservingness.

An Exercise to Evaluate an Anti-Poverty Program with Multiple Outcomes Using Program Evaluation

An Exercise to Evaluate an Anti-Poverty Program with Multiple Outcomes Using Program Evaluation
Author: T. M. Tonmoy Islam
Publisher:
Total Pages: 13
Release: 2015
Genre:
ISBN:

Anti-poverty programs implemented in developing countries typically have multiple goals beyond improving income levels. In order to provide a comprehensive measure of program effectiveness in the presence of multiple outcomes, I introduce multidimensional poverty measures to the program evaluation literature. I combine robust multidimensional poverty measures with difference-in-difference matching estimators to evaluate the impact of the Targeting the Ultra-Poor (TUP) program undertaken in Bangladesh. This project aimed to improve the well-being of families living in chronic poverty. I find that the TUP program reduced multidimensional poverty among the treated group by 18 percentage points relative to the comparison group.

Hidden Impact? Ex-Post Evaluation of an Anti-Poverty Program

Hidden Impact? Ex-Post Evaluation of an Anti-Poverty Program
Author: Shaohua Chen
Publisher:
Total Pages: 0
Release: 2014
Genre:
ISBN:

By the widely used difference-in-difference method, the Southwest China Poverty Reduction Project had little impact on the proportion of people in beneficiary villages consuming less than $1 a day - despite a public outlay of $400 million. Is that right, or is the true impact being hidden somehow? Chen and Ravallion find that impact estimates are quite sensitive to the choice of outcome indicator, the poverty line, and the matching method. There are larger poverty impacts at lower poverty lines. And there are much larger impacts on incomes than consumptions. Uncertainty about the impact probably made it hard for participants to infer the gain in permanent income, so they saved a high proportion of the short-term gain. This paper - a product of the Poverty Team, Development Research Group - is part of a larger effort in the group to assess the impact on poverty of World Bank lending. The study was funded by the Bank's Research Support Budget under the research project Looking Beyond Averages: A Research Program on Poverty and Inequality (RPO 681-39).

Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs

Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs
Author: Luna Yue Huang
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:

The rigorous evaluation of anti-poverty programs is key to the fight against global poverty. Traditional approaches rely heavily on repeated in-person field surveys to measure program effects. However, this is costly, time-consuming, and often logistically challenging. Here we provide the first evidence that we can conduct such program evaluations based solely on high-resolution satellite imagery and deep learning methods. Our application estimates changes in household welfare in a recent anti-poverty program in rural Kenya. Leveraging a large literature documenting a reliable relationship between housing quality and household wealth, we infer changes in household wealth based on satellite-derived changes in housing quality and obtain consistent results with the traditional field-survey based approach. Our approach generates inexpensive and timely insights on program effectiveness in international development programs.