Research Resources

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Recursos para Investigación

Junto a Innovation for Poverty Action (IPA) recopilamos una lista de recursos para investigadores que estén implementando evaluaciones aleatorizadas o enseñando cómo ejecutarlas a otros investigadores.

Guide: Writing Randomization Code in Stata

This step-by-step guide uses data and an annotated Stata do-file to illustrate how a simple randomization can be carried out using Stata.

Case Study: Developing a Theory of Change and Logical Framework (Log Frame).

Using the example of a J-PAL evaluation in India, this case study illustrates how to construct a log frame and use one's theory of change to pick appropriate outcomes and indicators for measurement.

IPA's Best Practices for Data and Code Management.

IPA's data publication guideline covers the principles of organizing and documenting data and code – illustrated using examples from Stata – at all steps of the project lifecycle with the goal of making research reproducible.

Resources on How to Obtain and Use Nonpublic Administrative Data

J-PAL North America developed this pair of resources to support the use of nonpublic administrative data for randomized evaluations. The guide provides general tips on how to obtain and use these data. The catalog of key US data sets provides agency-specific information on how to request data.

Slides: What is Evaluation?

Learn why evaluate social programs, what is evaluation, and the components of evaluation in these slides from J-PAL's Executive Education Course.

Slides: How to Randomize

Learn about randomization methods in these slides from J-PAL's Executive Education Course.

Slides: Threats and Analysis

Learn about threats to inference and ways to design field experiments to guard against them in these slides from J-PAL's Executive Education Course.