Ressources pour la recherche aléatoire

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Ressources pour la recherche aléatoire

Ce catalogue de ressources pratiques, produit par J-PAL en collaboration avec IPA, est mis à disposition des chercheurs qui entreprennent des évaluations aléatoires et aux professionnels qui enseignent cette technique.

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: How to Randomize

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

Slides: Sampling and Sample Size

Learn how sample size and other factors affect statistical power in these slides from J-PAL's Executive Education Course.

Stata 101

IPA has developed a number of self-guided Stata learning modules designed for different levels, from beginners to more advanced users. The Stata 101 Module is designed for users with little or no knowledge of Stata.