James Berry
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
James Berry has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Abhijit V. Banerjee
Department of Economics, Massachusetts Institute of Technology, Cambridge, USA
2 shared publications - Esther Duflo
Department of Economics, Massachusetts Institute of Technology, Cambridge, USA
2 shared publications - Harini Kannan
Harini Kannan is a Senior Research Manager and Post-Doctoral Fellow
2 shared publications - Marc Shotland
Marc Shotland is Associate Director of Training in the Research Group, all at various locations of the Abdul Latif Jameel Poverty Action Lab
2 shared publications - Rukmini Banerji
Pratham Education Foundation, New Delhi, India
2 shared publications - Shobhini Mukherji
Shobhini Mukerji is the Executive Director of the South Asia regional center
2 shared publications
Latest Publications
- 5 December 2021
- Published by Elsevier in Journal of Public Economics
- Vol. 204, 104552
Crowd-out in school-based health interventions: Evidence from India’s midday meals program
- 5 December 2021
- Published by Elsevier in Journal of Public Economics
- Vol. 204, 104552
Crowd-out in school-based health interventions: Evidence from India’s midday meals program
- Top Cited PapersOpen Access
- 1 November 2017
- Published by American Economic Association in Journal of Economic Perspectives
- Vol. 31 (4) , 73-102
From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application
The promise of randomized controlled trials is that evidence gathered through the evaluation of a specific program helps us—possibly after several rounds of fine-tuning and multiple replications in different contexts—to inform policy. However, critics have pointed out that a potential constraint in this agenda is that results from small “proof-of-concept” studies run by nongovernment organizations may not apply to policies that can be implemented by governments on a large scale. After discussing the potential issues, this paper describes the journey from the original concept to the design and evaluation of scalable policy. We do so by evaluating a series of strategies that aim to integrate the nongovernment organization Pratham’s “Teaching at the Right Level” methodology into elementary schools in India. The methodology consists of reorganizing instruction based on children’s actual learning levels, rather than on a prescribed syllabus, and has previously been shown to be very effective when properly implemented. We present evidence from randomized controlled trials involving some designs that failed to produce impacts within the regular schooling system but still helped shape subsequent versions of the program. As a result of this process, two versions of the programs were developed that successfully raised children’s learning levels using scalable models in government schools. We use this example to draw general lessons about using randomized control trials to design scalable policies.
- 1 November 2017
- Published by American Economic Association in Journal of Economic Perspectives
- Vol. 31 (4) , 73-102
Top Cited PapersOpen AccessFrom Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application
The promise of randomized controlled trials is that evidence gathered through the evaluation of a specific program helps us—possibly after several rounds of fine-tuning and multiple replications in different contexts—to inform policy. However, critics have pointed out that a potential constraint in this agenda is that results from small “proof-of-concept” studies run by nongovernment organizations may not apply to policies that can be implemented by governments on a large scale. After discussing the potential issues, this paper describes the journey from the original concept to the design and evaluation of scalable policy. We do so by evaluating a series of strategies that aim to integrate the nongovernment organization Pratham’s “Teaching at the Right Level” methodology into elementary schools in India. The methodology consists of reorganizing instruction based on children’s actual learning levels, rather than on a prescribed syllabus, and has previously been shown to be very effective when properly implemented. We present evidence from randomized controlled trials involving some designs that failed to produce impacts within the regular schooling system but still helped shape subsequent versions of the program. As a result of this process, two versions of the programs were developed that successfully raised children’s learning levels using scalable models in government schools. We use this example to draw general lessons about using randomized control trials to design scalable policies.
- Open Access
- 1 December 2016
- Published by National Bureau of Economic Research
From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application
For field management; to Diva Dhar for supervision; and to Shaher Bhanu Vagh for the educational test design and analysis. Special thanks to the staff of Pratham for their openness and engagement, and to the William and Flora Hewlett Foundation, the International Initiative for Impact Evaluation, the Government of Haryana, and the Regional Centers for Learning on Evaluation and Results for their financial support and commitment. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
- 1 December 2016
- Published by National Bureau of Economic Research
Open AccessFrom Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application
For field management; to Diva Dhar for supervision; and to Shaher Bhanu Vagh for the educational test design and analysis. Special thanks to the staff of Pratham for their openness and engagement, and to the William and Flora Hewlett Foundation, the International Initiative for Impact Evaluation, the Government of Haryana, and the Regional Centers for Learning on Evaluation and Results for their financial support and commitment. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.