Tootfinder

Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
Philipp Bach, Sven Klaassen, Jannis Kueck, Mara Mattes, Martin Spindler
https://arxiv.org/abs/2510.09064

Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
Difference-in-differences (DiD) is one of the most popular approaches for empirical research in economics, political science, and beyond. Identification in these models is based on the conditional parallel trends assumption: In the absence of treatment, the average outcome of the treated and untreated group are assumed to evolve in parallel over time, conditional on pre-treatment covariates. We introduce a novel approach to sensitivity analysis for DiD models that assesses the robustness of DiD…

Divergence Phase Index: A Riesz-Transform Framework for Multidimensional Phase Difference Analysis
Magaly Catanzariti, Hugo Aimar, Diego M. Mateos
https://arxiv.org/abs/2510.04426

Divergence Phase Index: A Riesz-Transform Framework for Multidimensional Phase Difference Analysis
We introduce the Divergence Phase Index (DPI), a novel framework for quantifying phase differences in one and multidimensional signals, grounded in harmonic analysis via the Riesz transform. Based on classical Hilbert Transform phase measures, the DPI extends these principles to higher dimensions, offering a geometry-aware metric that is invariant to intensity scaling and sensitive to structural changes. We applied this method on both synthetic and real-world datasets, including intracranial EE…

Unintended Consequences of Early Driving Access: Evidence from Graduated Driver Licensing Policies and Adolescent Health Outcomes
Sharareh Massahi
https://arxiv.org/abs/2509.23578

Unintended Consequences of Early Driving Access: Evidence from Graduated Driver Licensing Policies and Adolescent Health Outcomes
Graduated driver licensing systems effectively reduce adolescent traffic fatalities but create unintended health consequences. Using state-level variation in licensing policies from 1999-2020 and difference-in-differences analysis, we provide the first causal evidence that early driving access generates significant health risks for female adolescents aged 15-19. States allowing learner's permits before age 16 experienced sharp increases in drug-related mortality (+1.331 per 100,000, p<0.001) an…