Original datasets and open-source packages from my research, hosted on GitHub, CRAN, PyPI, AidData, and the Harvard Dataverse.
Original data built for my research, released openly.
A comprehensive catalogue of formal international non-governmental organizations, covering more than 2,600 bodies. Based primarily on the Yearbook of International Organizations, with original data on founding and dissolution dates, headquarters locations, and issue areas.
The strength of formal accountability mechanisms in 52 major international institutions between 1960 and 2018, across five categories: transparency, evaluation, redress, investigation, and participation. Includes governance tasks, decision-making procedures, financial resources, and media coverage.
Performance assessments of 54 major institutions between 2008 and 2018, produced by the governments of Australia, Denmark, the Netherlands, Sweden, and the United Kingdom, and by the Multilateral Organisation Performance Assessment Network (MOPAN). Also covers policy autonomy, governance tasks, and operational partnerships.
The world’s largest dataset of international development projects with quantitative measures of overall performance: evaluations of more than 20,000 foreign aid projects in 183 countries between 1956 and 2016, by 12 bilateral and multilateral agencies. Developed with Dan Honig and Bradley Parks.
Data and code for my other published research are available through the Harvard Dataverse.
Open-source packages for missing-data analysis using machine learning.
MIDASverse is a suite of Python and R packages for missing-data analysis using machine learning, developed with Thomas Robinson. Introduced in “The MIDAS Touch”, Political Analysis 2022, and “Efficient Multiple Imputation”, JSS 2023.
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