Research Resources

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Research Resources

Our library of practical resources is available for researchers undertaking randomized evaluations and those teaching the technique to others. The resources presented here are curated by J-PAL in partnership with Innovations for Poverty Action (IPA).

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.

Slides: How to Randomize

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

Stata 101

The Stata 101 Module is designed for users with little or no knowledge of Stata.

PDF: Intro to Evaluations

A Randomized Evaluation is a type of Impact Evaluation that uses random assignment to allocate resources, run programs, or apply policies as part of the study design. This PDF contains all the information in the Introduction to Evaluations web page formatted into a single printable document.

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.