When do proxy advisors improve corporate decisions?
Abstract This paper studies the impact of proxy advisors on shareholder decision‐making. We posit two assumptions: (i) the board is at least as well informed as any individual shareholder; (ii) shareholders can condition their information acquisition on the proxy advisor's (PA) recommendation.
Berno Buechel +2 more
wiley +1 more source
Evolution of Fagan's Nomogram; a Commentary
I read with interest your paper entitled "Pre and post-test probabilities and Fagan’s nomogram. I would like to add a note concerning an update on Fagan’s Nomogram.
Abdelrahman Ibrahim Abushouk
doaj
Corrigendum to: Estimating the burden of multiple endemic diseases and health conditions using Bayes' Theorem: A conditional probability model applied to UK dairy cattle [Prev. Vet. Med., vol. 203, June 2022, 105617]. [PDF]
Rasmussen P +4 more
europepmc +1 more source
Measuring Thematic Funds Performance via an Approach Based on Observable and Latent Factors
ABSTRACT This paper investigates whether thematic equity funds deliver abnormal performance relative to conventional global equity funds. Using Fama‐French models augmented with latent factors, we estimate fund‐level alphas, and apply the false discovery rate methodology to an estimated three‐group mixture distribution, separating good, null and bad ...
Maria Debora Braga +2 more
wiley +1 more source
A comprehensive approach to evaluating the effectiveness of online courses
Background. In the context of digital transformation, a thorough assessment of the effectiveness of online courses is required to ensure a high-quality educational process, identify optimal teaching methods and timely correction of curricula.
I.P. Burukina
doaj +1 more source
Using Bayes theorem to estimate positive and negative predictive values for continuously and ordinally scaled diagnostic tests. [PDF]
Fischer F.
europepmc +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
The Distributional Effects of Economic Uncertainty*
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber +2 more
wiley +1 more source
Corrigendum to "Bayes' theorem, COVID19, and screening tests" [The American Journal of Emergency Medicine, Volume 38, Issue 10, October 2020, Pages 2011-2013]. [PDF]
Chan GM.
europepmc +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source

