[SoftwareX 2026] FastRerandomize: Rerandomization Using Accelerated Computing
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Updated
Oct 22, 2026 - R
[SoftwareX 2026] FastRerandomize: Rerandomization Using Accelerated Computing
Monte Carlo audit of naive, cluster-robust, and randomization-based experiment inference
R package implementing Lee & Wooldridge (2025, 2026) rolling difference-in-differences estimator for panel data with staggered adoption, multiple estimators (RA/IPW/IPWRA/PSM), and exact small-sample inference.(Public Preview)(Disclaimer: CURRENTLY WIP)
Replication package for spatial spillover analysis of Azerbaijan (RI placebo tests, spatial econometrics)
Out-of-sample evaluation of geopolitical risk as a carbon-price predictor, with a dimension-matched placebo design. Replication code for "Geopolitical Risk and Carbon Price Predictability: An Effect That Disappears."
Can public card data see the spending drop from ending pandemic unemployment benefits early? Staggered DiD across 48 states, 140 border-county pairs, randomization inference, power, and an audit folder.
Replication code for "Can Fintech Build Trade Resilience Under Tariff Shocks?" — three-way FE PPML gravity on an East Asian trade panel, with N_eff (a treatment-concentration diagnostic), randomization inference, cluster jackknife, synthetic control, specification curve and MDE-based design requirements.
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