Transfer Project

Transfer Project
Name	Transfer Project
Formation	2016
Type	Research consortium
Headquarters	Global (decentralized)
Region served	Worldwide
Leader title	Coordinating institutions

Transfer Project The Transfer Project is a multi-institutional research consortium that analyzes conditional cash transfer and social protection programs across countries to assess effects on health, nutrition, education, and poverty. It aggregates household survey data, program documents, and administrative records to enable cross-national comparison and evidence synthesis, working with national ministries, international agencies, and academic centers to inform policy debates in low- and middle-income contexts.

Overview

The project brings together scholars from institutions such as University of Sussex, Harvard University, International Food Policy Research Institute, World Bank, and Save the Children to harmonize microdata from programs in Latin America, sub-Saharan Africa, and South Asia. By creating a common data architecture, the consortium supports secondary analysis by teams affiliated with University of California, Berkeley, Oxford University, Johns Hopkins University, Columbia University, and regional research centers like CEDEPLAR and IFPRI offices. It engages with funders and policy actors including United Nations Children's Fund, United Kingdom Department for International Development, Bill & Melinda Gates Foundation, Inter-American Development Bank, and United States Agency for International Development to expand evidence uptake.

Objectives and Scope

The primary aims include measuring impacts of cash transfer programs on child nutrition, physical growth, schooling, and household welfare, as well as documenting program design features such as targeting, conditionality, and payment mechanisms. The consortium focuses on country programs like Bolsa Família, Prospera (Mexico), Juntos, Programa de Asignación Familiar, Kenya Cash Transfer for Orphans and Vulnerable Children, South Africa Child Support Grant, Ecuador Bono de Desarrollo Humano, and pilots in Nepal, Bangladesh, and Philippines. It also examines linkages with sectors represented by institutions such as World Health Organization and UNICEF to trace pathways between transfers and outcomes.

History and Development

The initiative grew from earlier program evaluations and cross-country syntheses led by researchers affiliated with Inter-American Development Bank evaluations in the 2000s and randomized controlled trials conducted by teams at IFPRI and J-PAL in the 2010s. Formal coordination increased after methodological workshops convened by World Bank and UNICEF that brought together ministries of finance and social protection from countries like Brazil, Mexico, Chile, Peru, Ghana, and Kenya. Milestones include harmonization protocols developed with technical input from Oxford Policy Management and data-sharing agreements negotiated with national statistical offices such as Instituto Brasileiro de Geografia e Estatística and Instituto Nacional de Estadística y Geografía.

Methodology

Researchers employ harmonized coding of household roster variables, anthropometry, consumption, schooling, and program receipt to enable pooled analyses using quasi-experimental methods and randomized evaluations. The consortium standardizes indicators following guidelines from Demographic and Health Surveys and Multiple Indicator Cluster Surveys to compare height-for-age, weight-for-age, and schooling attainment across sites. Analytic strategies include difference-in-differences, regression discontinuity, instrumental variables, and meta-analytic techniques used by teams at Harvard T.H. Chan School of Public Health and London School of Hygiene & Tropical Medicine. Data governance and ethical review processes involve institutional review boards at University of Cape Town and partner universities, and memoranda of understanding with ministries of social development in participating countries.

Key Findings and Impact

Cross-national analyses indicate that well-designed cash transfer programs are associated with improvements in food security, child growth in the first 1,000 days, school enrollment, and reduced household poverty, with effects varying by program size, conditionality, and complementary services. Studies linked to the consortium document heterogeneous impacts across subgroups identified by geography and vulnerability, echoing findings from examinations of Bolsa Família and Prospera (Mexico). The evidence has influenced policymaking in ministries such as Ministry of Social Development (Brazil) and Secretaría de Desarrollo Social (Mexico), and informed lending and technical support by World Bank and Inter-American Development Bank. Peer-reviewed outputs have been published in outlets including The Lancet, Journal of Development Economics, and World Development, and findings have informed global policy debates at forums like the International Conference on Family Planning and meetings convened by Developmental Economics Research Centres.

Participating Countries and Partners

Country partners include federal and subnational agencies from Brazil, Mexico, Peru, Ecuador, Colombia, Honduras, Nicaragua, Kenya, Uganda, Tanzania, South Africa, Ghana, Malawi, Zambia, Bangladesh, Nepal, and Philippines. Institutional partners encompass UNICEF, World Bank, IFPRI, J-PAL, Oxford University, Harvard University, University of the Philippines, Makerere University, Universidad de los Andes, and non-governmental actors such as Oxfam and Save the Children. Funders and technical supporters have included UK Aid, Gates Foundation, USAID, and regional development banks.

Criticisms and Limitations

Critiques of the consortium note reliance on observational data in some contexts, challenges with data harmonization across differing survey instruments, and limited statistical power to detect long-term outcomes in smaller programs. Concerns have been raised by scholars at Institute of Development Studies and Centre for Global Development about external validity when scaling experimental findings, and by advocates for indigenous data sovereignty in engagements with Ministry of Indigenous Peoples-level authorities. Other limitations include potential publication bias favoring statistically significant effects and logistical barriers in accessing administrative records from ministries such as Ministry of Finance (Kenya) and national statistics offices. Despite these challenges, the consortium continues to refine methods and expand partnerships to improve evidence quality and policy relevance.

Category:Research consortia