Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual outcomes. In addition, difficulties arise when simple noninformative priors are chosen for the covariance parameters. Motivated by these problems, we propose a new type of multivariate logistic dis...

Probit regression and logistic regression are well-known models for classification. In contrast to logistic regression, probit regression has a canonical generalization that allows us to model correlations between the labels. This is a way to include metadata into the model that correlate the noisy observation process. We show that the approach leads to the mathematical problem of integrating a...

Purpose This study aims to determine whether consumers are willing pay a premium for locally produced hard apple cider and examine the factors influencing this premium. examines influence of attributes consumer characteristics on preferences local cider. Design/methodology/approach Data from 2019 survey 875 Tennessee regarding their were obtained. Probit estimates used calculate made A multivar...

Macroeconomists spend much of their time developing theories and building models to demonstrate how shocks propagate and affect the overall level of economic activity. Both policymakers and the private sector maintain a keen interest in understanding the state of business affairs and the most likely path the economy will take over a planning horizon. Although there are a number of economic even...

Macroeconomists spend much of their time developing theories and building models to demonstrate how shocks propagate and affect the overall level of economic activity. Both policymakers and the private sector maintain a keen interest in understanding the state of business affairs and the most likely path the economy will take over a planning horizon. Although there are a number of economic even...

In this dissertation I examine the effects of sample selection on the probability of stroke among older adults. If study subjects are selected into the sample based on some non-experimental selection process, then statistical analysis may produce inconsistent estimates. Chapter 1 develops a model of non-ignorable selection for a discrete outcome variable, such as whether stroke occurred or not....

This study analyzes the factors that influence probability and extent of adoption mungbean production technologies in Tanzania, Kenya Uganda, using multivariate probit Poisson regression models. The results show are influenced by gender household, household size, farm livestock assets, access to extension services credit. suggests policy interventions aimed at targeting women farmers, increasin...