Results 91 to 100 of about 43,267 (279)
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Value of Sample Separation Information in a Sequential Probit Model: Another Look at SSA's Disability Determination Process [PDF]
Disability, Method of Simulated Movements, Multivariate Probit, Social Security.
B. Wixon, Chuanming Gao, Kajal Lahiri
core
Creative disruption: technology innovations during unexpected turmoil
Economica, EarlyView.Abstract The 2020 pandemic shock created both local and global turmoil, increasing uncertainty and decreasing production. Utilizing a new survey on Norwegian firms' digitalization and technology investments, linked to population‐wide register data, we show that the pandemic massively disrupted the technology investment plans of firms, in terms of both ...
Erling Barth +2 more
wiley +1 more source
Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers [PDF]
Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information
English, Burton C. +6 more
core +1 more source
`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component. [PDF]
, 2009 Endogeneity bias arises in contingent valuation studies when the error term in the willingness to pay (WTP) equation is correlated with explanatory variables because observable and unobservable characteristics of the respondents affect both their WTP ...
Lyssenko, Nikita +1 more
core
Sparse Probit Linear Mixed Model
, 2017 Linear Mixed Models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic traits that best predict a continuous phenotype of interest, while simultaneously correcting for various ...
Cunningham, John P. +5 more
core +1 more source
European Management Review, EarlyView.Abstract This study examines the relationship between Chief Financial Officer (CFO) overconfidence and firm performance through the lens of environmental violations and constituency statutes. Drawing on stakeholder and upper echelons theories, we find that firms with overconfident CFOs are more likely to commit environmental violations, which ...
Panagiotis Andrikopoulos +4 more
wiley +1 more source
Disentangling Specific Subsets of Innovations : A Micro-Econometric Analysis of their Determinants [PDF]
Based on a unique firm-level data set from the German manufacturing sector, this paper disentangles environmental and non-environmental product and process innovations.
Andreas Ziegler
core
Conjugate Bayes for probit regression via unified skew-normal distributions
, 2019 Regression models for dichotomous data are ubiquitous in statistics. Besides being useful for inference on binary responses, these methods serve also as building blocks in more complex formulations, such as density regression, nonparametric ...
Durante, Daniele
core +1 more source
Implicit Promises and the Timing of Defined‐Benefit Pension Plan Freezes
Financial Management, EarlyView.ABSTRACT Firms time defined‐benefit (DB) plan freezes after CEO turnovers to protect CEO retirement benefits from cost cuts affecting the wider workforce. We document a significant increase in voluntary CEO turnovers just before the freeze, without notable post‐freeze changes.
Zacharias Petrou, Adamos Vlittis
wiley +1 more source