La evidencia de las evaluaciones aleatorizadas está cambiando la forma en que entendemos y abordamos los problemas relacionados con la pobreza. Los formuladores de políticas, profesionistas y fundaciones de todo el mundo están utilizando cada vez más estos aprendizajes en las políticas y programas sociales. Más de 400 millones de personas han sido alcanzadas por programas que se escalaron después de ser evaluados por investigadores afiliados a J-PAL. Muchos más se han beneficiado de las diversas y amplias formas en que la evidencia puede informar las políticas que se describen a continuación.
Pathways to Policy Change
With support from J-PAL and IPA, the Ministry of Education in Peru created a dedicated unit to identify, test, and scale low-cost interventions to improve educational outcomes.
J-PAL affiliated researchers supported the Government of Chile in designing a cash transfer program during the Covid-19 pandemic, which reached over 3 million households.
Central and state governments in India have adopted a financial reform to enhance public service delivery informed by evidence.
GiveDirectly has expanded its cash transfer program, which was found in a randomized evaluation to have improved economic and psychological well-being in Kenya, to reach over 125,000 households in rural Kenya, Rwanda, and Uganda since 2013.
Saga Education’s intensive math tutoring program has been shown to improve academic outcomes and has now reached 2,500 students facing barriers in the United States.
Evidence from a randomized evaluation and cost-effectiveness analysis led the Chilean government to expand a consumer information campaign to protect at-risk marine species.
The Government of Mexico used insights from a randomized evaluation to inform a national labor law.
Based on evidence that biometric monitoring technology did not increase doctors' attendance at primary health centers, the government of Karnataka decided to end the program, saving taxpayers millions of dollars.
The French Ministry of Education has expanded a parental involvement program to all public schools in the country on a voluntary basis.
Precision Agriculture for Development leveraged findings from two randomized evaluations to create and diffuse a new mobile-phone based model for agricultural extension.
Evidence from a flagship randomized evaluation in the United States prompted legislative and administrative changes to expand housing choice for low-income families.
Following an evaluation in California testing variations of reminder letters to low-income households to increase take-up of tax credits, the US tax agency scaled up nationally the use of reminders that simply and prominently displayed potential benefits.
Evidence from a randomized evaluation informed the scale-up of a pollution audit policy in Gujarat, India.
Government scale-up improves access to targeted social programs for 65.67 million people.
A multifaceted livelihood program has reached and improved the standard of living for more than 640,000 women in Bangladesh and India following randomized evaluations by J-PAL affiliates.
The French government abandoned a policy that would have required firms to make recruitment decisions based on anonymized resumes after research showed that a voluntary, pilot scheme actually harmed minority applicants’ employment chances.
Enhancing Delivery through Financial Reform of MGNREGS
Using Identification Cards to Improve National Social Assistance in Indonesia
The Evidence to Policy resource page features tools for policymakers, practitioners, donors, and others interested in leveraging evidence to inform policy. These resources provide practical guidance on adapting evidence from one context to another, assessing whether a program is ready for scale, fostering a culture of evidence use within organizations, and more. View all Evidence to Policy resources.