I am a political scientist at the Université de Montréal, where I read on comparative and international political economy. I am particularly interested in the politics of international taxation and foreign direct investment, but I have also worked on economic voting, monetary policy, foreign aid, and research methods. My articles have appeared in peer-reviewed journals such as International Organization, the Journal of Politics, the British Journal of Political Science, International Studies Quarterly and Political Analysis.

Here’s an awkward picture in case you need to find me in the hotel lobby at some conference: selfie.jpg. And here’s how I pronounce my weird hyphenated last name: arel-bundock.mp3 (“Arel” as in “barrel”; “Bundock” as in “bun” + “duck”).

Go blue!

Research

Preprint PDFs, supplementary materials, replication code, and data for all my published articles are archived by the Open Science Foundation. The final published versions are almost certainly available on Sci-Hub.

Thematically, these articles are probably closest to the stuff I am currently working on:

• Where should multinationals pay taxes?
• Quantitative Political Science Research is Greatly Underpowered
• The Unintended Consequences of Bilateralism: Treaty Shopping and International Tax Policy.
• Conditional Tax Competition in the American States.
• Political Risk Insurance: A New Firm-Level Data Set.

See my CV for a complete list of writings.

Code

• marginaleffects: R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds ratios, etc.) for over 70 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, as well as equivalence tests using the delta method.
• modelsummary: Beautiful, customizable, publication-ready data and model summaries in R. See Arel-Bundock (2022) in the Journal of Statistical Software.
• countrycode: R package to convert country codes and country names. See Arel-Bundock, Enevoldsen and Yetman (2018) in the Journal of Open Source Software.
• WDI: R package to search and download thousands of panel data series from the World Bank's World Development Indicators.
• regrets: R package to print facts and pictures of egrets (h/t Jane Sumner)
• violets: Violets are BLUE. OLS is too. An R package which re-estimates fancy statistical models using simple OLS. (h/t Alton BH Worthington)

Data

• Political Risk Insurance and Finance: This project aims to make available firm-level information about every insurance contract issued, financing project initiated, and insurance claim settled by the US Overseas Private Investment Corporation.
• Central Bankers’ speeches: A collection of 14601 speeches given by central bankers between 1997 and 2018. Collected in preparation for the article 'Adding rooms onto a house we love: Central banking after the global financial crisis', with Juliet Johnson and Vlad Portniaguine.
• Rdatasets: A collection of 2000+ datasets that were originally distributed alongside the statistical software environment R and some of its add-on packages. The goal is to make these data more broadly accessible for teaching and statistical software development. Each dataset is distributed in comma-separated values format, with detailed html documentation.