Commercial fodder farming is rapidly expanding in Laikipia County, Kenya and there an emerging market formation involving different actors. Several outlets are at the farmers’ disposal for channelling their to consumers. The purpose of this study was therefore, determine factors which influence choices County. Using data from 204 farmers, Multivariate Probit model used estimate determinan...

Background. Undirected graphical models or Markov random fields (MRFs) are very popular for modeling multivariate probability distributions. A considerable amount of work on MRFs has focused on modeling continuous variables and unordered categorical variables also called as nominal variables. However, data from many real world applications involve ordered categorical variables also called as or...

Abstract Background The need for adopting improved rice technologies and practices has become more important in Ethiopia as the national self-sufficiency gap increased. This article examines adoption level factors governing of technology packages using data collected from 594 rice-producing household heads Ethiopia. A multivariate probit (MVP) model involving a system five equations was used to...

<p>Multivariate and ordered Probit models were used to study the determinants of adoption extent agronomic practices among cacao farmers in Nariño, Colombia, with data from 353 mountain region. Results suggest that farmers’ decisions are made on a joint basis, further validating use multivariate approach. The presence illegal crops creates strong disincentives affect possibility more sign...

In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models ...

In crash frequency models, frequency by severity level are examined using multivariate count models. In these multivariate approaches the impact of exogenous variables is quantified through the propensity component of count models. The main interaction among variables across different severity levels is sought through unobserved effects i.e. there is no interaction of observed effects across th...

The recent financial turmoils in Latin America and Europe have led to a concatenation of several events from currency, banking and sovereign debt crises. This paper proposes a multivariate dynamic probit model that encompasses the three types of crises ’currency, banking and sovereign debt’ and allows us to investigate the potential causality between all three crises. To achieve this objective,...