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dime-data-handbook

Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones

dime-r-training_for_stata_users

Dime Analytics R Training

dime-standards

Repository with resources for DIME's research standards and coding standards

dimewiki

Sample code for impact evaluation and survey

export_stata-tables_automatically_for_analysis

Stata code about how to export automatically output after data analysis in report or paper

githubdropbox

A tutorial for how to combine GitHub and DropBox in a research project

grf--python-version-susan-athey

Generalized Random Forests based on the paper of Athey and Wager ( 2018 ) https://arxiv.org/abs/1510.04342

grf_tutorials_for_beginners

This is a tutorial to understanding the grf - generalized random forest - on causal ( RCT ) and non causal data.

hand-on-project-big-data-mag3

hands-on-2021

Hands-on project session 2021

iefieldkit

Stata commands designed for Impact Evaluations field work. These are tools that are used during/after a survey in the field for data quality monitoring.

ietoolkit

Stata commands designed for Impact Evaluations in particular, but also data work in general

imputation

R package for data imputation. Fills missing values in a numeric matrix

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

rio-safe-space

This repository contains the supplemental material and replication package for the 2019 Working Paper "Demand for 'Safe Spaces': Avoiding Harassment and Stigma" by Florence Kondylis, Arianna Legovini, Kate Vyborny, Astrid Zwager, and Luiza Andrade.

trade-integration-and-growth-evidence-from-mena-region

world-bank-data-by-indicators

The World Bank's 20 Featured Indicators Data, Cleaned & Wrangled for Exploration