Towards Closing the Evaluation Gap: Lessons from Three Recent Impact Evaluations in Latin America and the Caribbean

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Towards Closing the Evaluation Gap: Lessons from Three Recent Impact Evaluations in Latin America and the Caribbean Lorenzo Moreno, Larissa Campuzano, and Randall Blair Mathematica Policy Research, Inc. Dan Levy John F. Kennedy School of Government, Harvard University Mexico City February 13, 2009 2

Objectives Identify barriers that prevent rigorous impact evaluations in Latin America and the Caribbean Outline key practices for future impact evaluations in the region 3

Designs for Impact Evaluations Rigor is high validity, accuracy, and reliability of impacts Randomized control trial Regression discontinuity Matched comparison Non-matched comparison Simple pre-post Most rigorous Least rigorous 4

The Evaluation Gap Limited demand and supply of rigorous impact evaluations Gradual increase in demand Millennium Challenge Corporation World Bank and regional development banks National governments Limited increase in supply PROGRESA-Oportunidades in Mexico and Bolsa Família in Brazil Vocational education in Colombia Pre-school education in Chile 5

MCC Compact (El Salvador) Education Intervention: Improvement of secondary schools, a post-secondary center, and scholarships targeted to poor youths and adults in the Northern Zone Productive Development Intervention: Technical and material assistance, loans, and guarantees targeted to micro and small producers in the Northern Zone Financing: Conditional grant from MCC Implementation: FOMILENIO Evaluation mandate: Rigorous designs, according to feasibility 6

PATH (Jamaica) Intervention: Cash transfers to participant households (conditional transfers for children; unconditional transfers for adults) Target population: Poor children, adults, and elderly throughout the nation Financing: Loan from the World Bank Implementation: Ministry of Labor and Social Security Evaluation mandate: Support for a rigorous design 7

Hábitat Program (Mexico) Intervention: Funds allocated to municipalities to support urban, social and community development Target population: Marginalized families in cities or metropolitan areas Financing: Interamerican Development Bank Implementation: Secretaría de Desarrollo Social Evaluation mandate: Not defined 8

Barriers Are Multidimensional 1. Lack of support for rigorous designs Skepticism about practicality of random assignment Implementation incentives misaligned with evaluation 2. Ambitious and unrealistic schedules for designing and implementing programs Evaluation started after the program was launched Urgency to get the program started without accounting for the evaluation design 9

Barriers Are Multidimensional 3. Little or no early planning nor interest to build on lessons learned Unplanned pilots Potential interference with evaluation 4. Data limitations Availability of only secondary data Infeasibility of collecting independent primary data 10

Key Practices Are Evolving 1. Maintaining early communication with key decision makers Identify key stakeholders Propose range of feasible designs Identify barriers and propose alternatives Set stage for future coordination 2. Confirming that the evaluation will answer key questions Inform implementers how and when the evaluation will answer the questions 11

Key Practices Are Evolving 3. Choosing designs that fit implementation plans with minimal modifications PATH evaluation 4. Limiting discussion of the design s technical aspects to a group of experts 5. Ensuring that all parties understand the evaluation s legal framework MCC Compact evaluation 12

Rigor vs. Feasibility of the Final Design For evaluators there is tension between: the rigor of the design the financial, logistical and political limitations of implementing the design» PATH evaluation» Hábitat evaluation» MCC Compact evaluation 13

Skills Required for Leading a Successful Evaluation In-depth understanding of each evaluation s context Detailed knowledge of evaluation methodology Excellent communication and negotiation skills A lot of flexibility 14

Contact Information Lorenzo Moreno: lmoreno@mathematica-mpr.com Larissa Campuzano: lcampuzano@mathematicampr.com Dan Levy: dan_levy@ksg.harvard.edu Randall Blair: rblair@mathematica-mpr.com Web site: www.mathematica-mpr.com/international 15