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Research resource
Survey programming
This resource covers best practices for programming a survey using computer assisted personal interview (CAPI) software. We primarily rely on examples using SurveyCTO, which is widely used by J-PAL and Innovations for Poverty Action (IPA), but the practices listed below apply to all CAPI software...
Research resource
Data quality checks
High-frequency checks, back-checks, and spot-checks can be used to detect programming errors, surveyor errors, data fabrication, poorly understood questions, and other issues. The results of these checks can also be useful in improving your survey, identifying enumerator effects, and assessing the...
Research resource
Data cleaning and management
Although quality control checks in the field should catch most errors in data collection, there are a number of steps you will have to undertake to prepare your collected data for analysis. This resource outlines the key steps involved in data processing and cleaning. We first describe best...
Research resource
Data visualization
Data visualization can be helpful at many stages of the research process, from data reporting to analysis and publication. Relative to regression tables, cross-tabs, and summary statistics, data visualizations are often easier to interpret, more informative, and more accessible to a wider range of...
Research resource
Data analysis
This guide provides an overview of data analysis for randomized evaluations in order to estimate causal impact. It is intended to provide something of a starting point and orient individuals not familiar with all nuances of the literature; it does not aim to provide a comprehensive or “authoritative...
Research resource
Data de-identification
Researchers who plan to publish data on human subjects should take careful steps to protect the confidentiality of study participants through data de-identification—a process that reduces the risk of re-identifying individuals within a given dataset. This guide provides further details on the de...
Research resource
Data publication
J-PAL promotes the publication of de-identified data from randomized evaluations 1. This resource provides guidance on doing so in the form of a checklist for preparing data for submission. It also includes sample informed consent language and other considerations during project planning and...
Blog
From evidence to policy: Three lessons for philanthropy from this year’s Nobel Prize
This article was originally published in The Center for Effective Philanthropy. Abhijit Banerjee, Esther Duflo, and Michael Kremer recently won the 2019 Nobel Prize in Economics for their “experimental approach to alleviating global poverty.” But while attention has focused on their experimental...
Blog
Saving for the future: Facilitating success for a common resolution
At the start of a new year, many people around the world set resolutions to improve their lives over the course of the year: to eat healthier food, to be kinder, and to quit smoking, to name just a few. Many resolutions are bound to fade over time—one common statistic claims that only 8 percent of...
Blog
J-PAL launches new Inclusive Financial Innovation Initiative in Southeast Asia
The digital financial services (DFS) sector is among the fastest-growing: the number of financial technology (“fintech”) companies in Indonesia more than doubled from 130 in 2017 to more than 320 in 2019. In addition to this rapid growth in the private sector, the Indonesian government is...
Blog
Tanya Sethi, J-PAL ’14, is tackling the big questions in aid and policy
Tanya joined J-PAL South Asia’s policy team after receiving a master’s degree in public policy from the Paris School of Economics. At J-PAL South Asia, she played a key role in an early partnership with the Government of Tamil Nadu and helped lay the conceptual groundwork for important program scale...
Blog
Kristen Watkins, J-PAL ’19, is helping shape upward mobility research in the United States
Kristen joined J-PAL in 2017 to lead the Creating Moves to Opportunity project, an influential research partnership between J-PAL affiliated researchers and public housing authorities in the United States. Now the chief operating officer at Opportunity Insights, Kristen shares some reflections on...
Blog
Evaluating the Camden Core Model: How a research partnership between the Camden Coalition and J-PAL North America was built
Researchers from J-PAL’s network partnered with the Camden Coalition of Health Care Providers (the Camden Coalition) on a rigorous evaluation of their Camden Core Model. The Camden Core Model has received national attention as a promising super-utilizer intervention over the past few years. We sat...
Blog
Sharing evidence to inform the future of health care delivery and complex care: Lessons from the Camden Coalition and J-PAL North America partnership
In this second post of a two-part blog series on the Camden Core Model intervention, Aaron, Amy and Kathleen reflect on their key learnings from the evaluation and how study results will inform the future of the Camden Coalition’s work and the broader field of health care delivery and complex care...
Blog
A year in blogs: Reflecting on 2019 through the eyes of staff, affiliates, and partners
In 2019 we launched new initiatives to spur innovative research, admitted the first-ever cohort of blended Masters’ students, celebrated our founders’ and affiliate’s Nobel Prize win, and much more. It’s almost impossible to capture the breadth and depth of what our staff, affiliates, and partners...