Results 141 to 150 of about 96,795 (287)

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

International Studies of Economics, EarlyView.
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Adolescents' trajectories of mental health in the MYRIAD trial

JCPP Advances, EarlyView.
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst, Simona Skripkauskaite, Jack L. Andrews, Jesus Montero‐Marin, Verena Hinze, Tim Dalgleish, Willem Kuyken, MYRIAD team, Lucy Foulkes   +8 more
wiley   +1 more source

Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research

Journal of Organizational Behavior, EarlyView.
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios, Simon Lloyd D. Restubog, Pauline Schilpzand, Kohyar Kiazad, Karl Aquino   +4 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

Journal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz, Kyriaki Fousiani, Susanne Scheibe, Raphael Eppler‐Hattab   +3 more
wiley   +1 more source

An Integrative Framework and Research Agenda for Diversity, Equity, and Inclusion in AI‐Driven Marketing

Psychology &Marketing, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly reshaping modern marketing practice, yet whether this technology will ultimately advance or hinder diversity, equity, and inclusion in the marketplace remains unknown. On the one hand, AI promises to deliver better, more powerful services and products to a wider customer base. On the other hand, however,
Darius‐Aurel Frank, Raphaela Bruckdorfer, Lina Fogt Jacobsen, Yi Li, Tobias Otterbring   +4 more
wiley   +1 more source

A Question of Trust: Dynamics of the Perceived Uncertainty–Trust Dilemma With Artificial Intelligence in Strategy Process Initiation

Managerial and Decision Economics, EarlyView.
ABSTRACT Strategists who must identify issues in uncertain environments while being cognitively constrained can increasingly rely on artificial intelligence to manage uncertainty. The potential for AI to be incorporated into strategy processes has led to a debate about the evolving collaborative relationship between strategists and AI.
Thomas Hutzschenreuter, Ingo Kleindienst, Franziskus Perkhofer   +2 more
wiley   +1 more source

Personalized Differential Privacy for Ridge Regression Under Output Perturbation

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani   +3 more
wiley   +1 more source

High‐Resolution Ion Mobility as an Alternative to Quadrupole‐Based Precursor Isolation for Reducing Chimeric Fragmentation Spectra in Bottom‐Up Proteomics

PROTEOMICS, EarlyView.
ABSTRACT To assess the potential for high resolution ion mobility (HRIM) as an alternative means of precursor isolation for mass spectrometry fragmentation analysis we performed a meta‐analysis of predicted tryptic peptide features from the human proteome to measure the rate of chimeric spectrum generation relative to traditional quadrupole‐based ...
Isabel R. Uribe, Liulin Deng, Leonard Rorrer III, Lauren Royer, Miriam Fico, Daniel DeBord   +5 more
wiley   +1 more source