Results 61 to 70 of about 40,175 (188)
Polarization over the priority of political problems
American Journal of Political Science, EarlyView.Abstract What drives ideological division about political problems? When prioritizing which problems are most in need of redress, voters might disagree about the severity of individual outcomes that constitute such problems; the prevalence of those problems; or whether such problems are amenable to solution by government action. We field a large survey
Benjamin E. Lauderdale, Jack Blumenau
wiley +1 more source
Annals of Public and Cooperative Economics, EarlyView.Abstract An extensive literature demonstrates a positive relationship between social capital and health. However, empirical analyses within the Italian context remain limited. This study contributes to the existing literature by expanding the empirical evidence on this topic for Italy, employing an ecological approach.
Maria Alessandra Antonelli +1 more
wiley +1 more source
A Bayesian Model of Sample Selection with a Discrete Outcome Variable [PDF]
Relatively few published studies apply Heckman’s (1979) sample selection model to the case of a discrete endogenous variable and those are limited to a single outcome equation.
Maksym, Obrizan
core +1 more source
A User-Friendly Introduction to Link-Probit-Normal Models [PDF]
, 2005 Probit-normal models have attractive properties compared to logit-normal models. In particular, they allow for easy specification of marginal links of interest while permitting a conditional random effects structure.
Caffo, Brian S., Griswold, Michael
core +2 more sources
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
mvord: An R Package for Fitting Multivariate Ordinal Regression Models
Journal of Statistical Software, 2020 The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link.
Rainer Hirk, Kurt Hornik, Laura Vana
doaj +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
Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics [PDF]
Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis.
John Mullahy
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
Marginal Likelihood Estimation with the Cross-Entropy Method [PDF]
, 2012 We consider an adaptive importance sampling approach to estimating the marginal likelihood, a quantity that is fundamental in Bayesian model comparison and Bayesian model averaging.
Chan, Joshua, Eisenstat, Eric
core +2 more sources