@worldbank

World Bank Group

Reproducible Research Pilot. Does not represent official World Bank Group positions, policies, recommendations, etc. Initiated by GOKMU unit.

Pinned repositories

  1. ietoolkit

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

    Stata 67 14

  • Dime Analytics R Training

    HTML 1 3 MIT Updated Aug 18, 2018
  • Dissemination of harmonization code and data for SDI Health surveys

    Stata 4 1 MIT Updated Aug 13, 2018
  • Replication files for Water When It Counts: Reducing Scarcity through Irrigation Monitoring in Central Mozambique by Paul Christian, Florence Kondylis, Valerie Mueller, Astrid Zwager and Tobias Siegfried

    Stata Updated Aug 10, 2018
  • Python 1 MIT Updated Aug 9, 2018
  • Stata Commands for Data Management and Analysis

    Stata 39 18 MIT Updated Jul 24, 2018
  • Stata commands designed for Impact Evaluations in particular, but also data work in general

    Stata 67 14 MIT Updated Jul 18, 2018
  • Sample code for impact evaluation and survey

    JavaScript 10 6 MIT Updated Jul 4, 2018
  • A comparative assessment of machine learning classification algorithms applied to poverty prediction

    Jupyter Notebook 7 1 Updated Jun 15, 2018
  • Multivariate Imputation by Chained Equations

    HTML 33 Updated Jun 6, 2018
  • DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates

    TeX 13 3 MIT Updated May 30, 2018
  • Replication code for the World Bank Atlas of Sustainable Development Goals 2018

    R 45 15 Updated May 23, 2018
  • Several R packages for World Bank-standard visualisations, building on ggplot2

    R 9 2 MIT Updated May 21, 2018
  • LSMS

    Forked from spfraib/LSMS
    Jupyter Notebook 1 Updated May 17, 2018
  • This repository contains scripts about the Listening to Tajikistan project. Check our Wiki page for more details.

    Jupyter Notebook Updated Apr 9, 2018
  • This is a repository maintained by DIME and containing example graphs on how to explore data sets and display results of Impact Evaluations using Stata. For information on how to contribute to the library and download codes and data sets, click on the link to GitHub below.

    Stata 4 4 MIT Updated Oct 11, 2017
  • This repository contains all the program codes developed in the "Distributional Impact Analysis: Toolkit and Illustrations of Impacts Beyond the Average Treatment Effect" by Guadalupe Bedoya (World Bank), Luca Bittarello (Northwestern University), Jonathan Davis (University of Chicago), and Nikolas Mittag (CERGE-EI).

    Stata 3 8 Updated Oct 9, 2017
  • Computer vision application over satellite RGB tiles for agricultural land detection

    Python 7 1 MIT Updated Oct 3, 2017
  • Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images

    Python 32 10 MIT Updated Aug 10, 2017
  • NEXT

    Forked from nextml/NEXT

    NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.

    Python 1 37 Apache-2.0 Updated Jul 18, 2017