Shiro Kuriwaki

This memo outlines one way to organize a data analysis-oriented project in policy research or social sciences – an area that is increasingly data-driven, code-driven, and collaborative. Many of the principles described are taken verbatim from Gentzkow and Shapiro's guide referenced below.

Matthew Gentzkow and Jesse M. Shapiro

This handbook is about translating insights from experts in code and data into practical terms for empirical social scientists. It suggests principles students and research professionals should adopt manage and to create reproducible research projects. Principles include automation, version control, working with directories and keys, documentation, and management of projects.

Jacob N. Shapiro

This guide is intended to provide a common set of research practices for the Empirical Studies of Conflict group at Princeton, as well as colleagues elsewhere. Practically speaking, following this guide should ensure that (a) team projects can be managed with minimum friction and (b) any research affiliate will be able to get up-to-speed on any given project rapidly and efficiently. The conventions detailed in the guide should allow new colleagues to begin work and collaboration quickly. 

Miriam A. Golden

This document lays out guidelines for collaborative arrangements and is a systematic literature review on authorship guidelines, drawing from different disciplines.

Christopher R. Knittel and Konstantinos Metaxoglou

We propose a set of best practices on how to organize empirical research drawn from our experience. We offer some ideas on organizing, processing and analyzing data efficiently with an eye towards quality control, documentation, and replicability. Although these best practices are by no means unique, they have served us and colleagues well over the years. We hope they will be helpful to students and young economists in their research endeavors.

World Bank blog posts on current events and recent economic and political science research related to development.

Florence Kondylis and David McKenzie

This is a curated list of World Bank Blog technical postings, to serve as a one-stop shop for your technical reading. These posts focus on methodological issues in impact evaluation. Selected topics covered include pre-analysis plans, various methodologies (difference-in-differences, regression discontinuity, synthetic controls and others), code tricks, and tips for analysis. 

Florence Kondylis and David McKenzie

This list is puts together World Bank Blog posts on issues of measurement, survey design, sampling, survey checks, managing survey teams, reducing attrition, and all the behind-the-scenes work needed to get the data needed for impact evaluations