Tootfinder

Data Integration and spatio temporal statistics can quantify relative risk of medico-legal reforms: the example of police emergency mental health responses in Queensland (Australia)
Nidup Dorji, Sourav Das, Richard Stone, Alan R. Clough
https://arxiv.org/abs/2510.11101

Data Integration and spatio temporal statistics can quantify relative risk of medico-legal reforms: the example of police emergency mental health responses in Queensland (Australia)
This study examined the spatial-temporal dynamics of Emergency Examination Order or Authority (EE-O/A) admissions in Far Northern Queensland (FNQ) from 2009 to 2020, using 13,035 unique police records aggregated across 83 postcodes. A two-stage modelling framework was used: Lasso was used to identify a parsimonious set of socio economic and health-service covariates, and a Conditional Autoregressive (CAR) model incorporated these predictors with structured spatial and temporal random effects. T…

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…

Cyberattack on Jaguar Land Rover threatens to hit British economic growth https://therecord.media/cyberattack-jaguar-land-rover-economic-growth-uk-government

Love someone like Germany loves genocide.
https://www.bundeswirtschaftsministerium.de/Redaktion/DE/Pressemitteilungen/2025/09/202…

Boundary estimation in the regression-discontinuity design: Evidence for a merit- and need-based financial aid program
Eugenio Felipe Merlano
https://arxiv.org/abs/2510.09257 ht…

Boundary estimation in the regression-discontinuity design: Evidence for a merit- and need-based financial aid program
In the conventional regression-discontinuity (RD) design, the probability that units receive a treatment changes discontinuously as a function of one covariate exceeding a threshold or cutoff point. This paper studies an extended RD design where assignment rules simultaneously involve two or more continuous covariates. We show that assignment rules with more than one variable allow the estimation of a more comprehensive set of treatment effects, relaxing in a research-driven style the local and…

Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE
Yihang Jiang, Xiaoyang Li, Guangxu Zhu, Xiaowen Cao, Kaifeng Han, Bingpeng Zhou, Xinyi Wang
https://arxiv.org/abs/2510.03642

Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE
To support the development of low altitude economy, the air-ground integrated sensing and communication (ISAC) networks need to be constructed to provide reliable and robust communication and sensing services. In this paper, the sensing capabilities in the cooperative air-ground ISAC networks are evaluated in terms of area radar detection coverage probability under a constant false alarm rate, where the distribution of aggregated sensing interferences is analyzed as a key intermediate result. C…

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
https://arxiv.org/abs/2509.04847 htt…

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
Language models are increasingly deployed in interactive online environments, from personal chat assistants to domain-specific agents, raising questions about their cooperative and competitive behavior in multi-party settings. While prior work has examined language model decision-making in isolated or short-term game-theoretic contexts, these studies often neglect long-horizon interactions, human-model collaboration, and the evolution of behavioral patterns over time. In this paper, we investig…

Covert Communications in MEC-Based Networked ISAC Systems Towards Low-Altitude Economy
Weihao Mao, Yang Lu, Bo Ai, Tony Q. S. Quek
https://arxiv.org/abs/2507.18194 https://

Covert Communications in MEC-Based Networked ISAC Systems Towards Low-Altitude Economy
Low-altitude economy (LAE) is an emerging business model, which heavily relies on integrated sensing and communications (ISAC), mobile edge computing (MEC), and covert communications. This paper investigates the convert transmission design in MEC-based networked ISAC systems towards LAE, where an MEC server coordinates multiple access points to simultaneously receive computation tasks from multiple unmanned aerial vehicles (UAVs), locate a target in a sensing area, and maintain UAVs' covert tra…

A difference-in-differences estimator by covariate balancing propensity score
Junjie Li, Yukitoshi Matsushita
https://arxiv.org/abs/2508.02097 https://arxi…

A difference-in-differences estimator by covariate balancing propensity score
This article develops a covariate balancing approach for the estimation of treatment effects on the treated (ATT) in a difference-in-differences (DID) research design when panel data are available. We show that the proposed covariate balancing propensity score (CBPS) DID estimator possesses several desirable properties: (i) local efficiency, (ii) double robustness in terms of consistency, (iii) double robustness in terms of inference, and (iv) faster convergence to the ATT compared to the augme…

Estimating Social Network Models with Link Misclassification
Arthur Lewbel, Xi Qu, Xun Tang
https://arxiv.org/abs/2509.07343 https://arxiv.org/pdf/2509.073…

Estimating Social Network Models with Link Misclassification
We propose an adjusted 2SLS estimator for social network models when reported binary network links are misclassified (some zeros reported as ones and vice versa) due, e.g., to survey respondents' recall errors, or lapses in data input. We show misclassification adds new sources of correlation between the regressors and errors, which makes all covariates endogenous and invalidates conventional estimators. We resolve these issues by constructing a novel estimator of misclassification rates and us…