Results 111 to 120 of about 4,922 (217)

Threshold Regression for Fixed‐T$$ T $$ Panel Data with Interactive Fixed Effects

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T$$ T $$. The toolbox is designed to be simple, accurate, and computationally efficient.
Jan Ditzen, Yiannis Karavias, Joakim Westerlund   +2 more
wiley   +1 more source

Epigenetic signatures of attention problems in youth with childhood exposure to family and community violence

Psychiatry and Clinical Neurosciences, EarlyView.
Aim The link between violence‐related epigenetic changes and attentional problems (APs) is still not well understood. This article examines if exposure to family and community violence during childhood and adolescence may shape DNA methylation patterns associated with attention in youth.
Renata Queiroz Ramos, Adriane Feijó Evangelista, Cosme Marcelo Furtado Passos da Silva, Fernanda Serpeloni, Joviana Quintes Avanci, Natasha Reis Lacerda, Simone Gonçalves de Assis   +6 more
wiley   +1 more source

What Candidates Benefit From Corruption? Opportunities for Corruption and the Prevalence of Candidates With Business Ties

Regulation &Governance, EarlyView.
ABSTRACT Which candidates benefit from corruption and favoritism in public procurement? While existing studies show that politically connected firms profit from corruption risks in public procurement, we know less about whether these risks also increase the prevalence of political candidates with ties to business.
Saverio Di Giorno, Monika Bauhr, Francesco Busato   +2 more
wiley   +1 more source

Modeling Downside Risks for China's Security Markets: Does Greenness Make Bonds a Safer Haven?

Scottish Journal of Political Economy, EarlyView.
ABSTRACT Motivated by its current defective governance regime and institutional characteristics of green finance, this study models Value‐at‐Risk and Expected Shortfall of security markets for China. We extend Patton et al.'s (2019) models by introducing four exogenous risk factors including China's climate policy uncertainty (CCPU).
Xiao‐Ming Li
wiley   +1 more source

A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan, Christopher J. White, Eleonora Perugini, Esther Hlíðar Jensen, Talfan Barnie, Natalia Castillo, Marcello Arosio, Enrico Tubaldi, Matthew James Roberts, Marco Gaetani, Younghwa Cha, Frederiek Sperna Weiland, Mario Martinelli, John Douglas   +13 more
wiley   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Impact of Technological Innovation, Environmental Policy, and Policy Inclusion on Renewable Energy Adoption in Sub‐Sahara Africa

Thunderbird International Business Review, Volume 68, Issue 6, Page 875-903, November/December 2026.
ABSTRACT This study investigates the factors influencing renewable energy consumption and renewable electricity in Sub‐Sahara Africa (SSA) using the Lewbel 2SLS approach, panel quantile regression and Driscoll and Kraay estimator. It focuses on a panel dataset covering 41 countries from 1998 to 2020.
Emmanuel K. Manu, Simplice A. Asongu
wiley   +1 more source

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

Journal of Time Series Analysis, Volume 47, Issue 6, Page 1098-1112, November 2026.
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley   +1 more source

Alternatives to the Cox proportional hazards model: A review of additive hazards and accelerated failure time models

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract The Cox proportional hazards (PH) model remains the dominant approach in survival analysis, but it has two important limitations. First, it relies on the PH assumption, asserting that covariate effects act multiplicatively and remain constant over time.
Hein Putter, Liesbeth C. de Wreede
wiley   +1 more source