Results 91 to 100 of about 10,251 (274)
The Labor Market Effects of Occupational Licensing in the Public Sector
ABSTRACT In the United States, occupational licensing is about twice as prevalent in the public sector as in the private sector. However, the influence of occupational regulation for public sector workers and how it compares with that of private sector workers has not been analyzed in detail.
Morris M. Kleiner, Wenchen Wang
wiley +1 more source
Broken Telephone Communication
ABSTRACT The existing literature on corporate voluntary disclosures largely focuses on studying direct information transfers from publicly traded firms to capital market investors, ignoring the presence of information intermediaries (such as auditors, audit committees, appraisers, actuaries, and legal experts) in the communication process.
Eti Einhorn
wiley +1 more source
Abstract In December 2023, the European Parliament and the Council reached an agreement to revise the Solvency II Directive, aiming to unlock €100 billion in private investment through a series of deregulatory measures. This marks a significant departure from the stringent insurance supervision framework that has shaped European policy since the ...
Cyril Benoît
wiley +1 more source
This paper presents a novel two-parameter distribution derived from the Rayleigh distribution, thoroughly investigating its essential mathematical properties.
Ahmed M. Gemeay +2 more
doaj +1 more source
What data science means for the future of the actuarial profession [PDF]
openalex +1 more source
Portfolio Optimization for Pension Purposes: Literature Review
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira +2 more
wiley +1 more source
Models in Decision‐Making Under Risk and Uncertainty
ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
wiley +1 more source
Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dimensional data, continues
Senyefia Bosson-Amedenu +3 more
doaj +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
The Bayesian Hidden Markov Chain Modeling of the Ghana COVID-19 Blood Type Infection Distribution
This work uses the Bayesian Poisson-Hidden Markov Model (BP-HMM) to develop a model that properly describes the blood type distribution among newly diagnosed COVID-19 patients.
Joseph Johnson Kwabina Arhinful +3 more
doaj +1 more source

