Motivations for women’s participation in urban agriculture: a multivariate probit model analysis
Urban agriculture (UA) empowers women by providing economic opportunities, control over food, social connections, new skills, and improved health. Despite its importance, Ethiopian women's participation in UA remains low.
Tayech Lemma, Mala Sharma
doaj +4 more sources
Determinants of the Choice of Job Search Channels by the Unemployed Using a Multivariate Probit Model. [PDF]
We investigate factors affecting the job search channels (newspapers, agency, informal network, direct contact, internet) of unemployed individuals in Italy using a multivariate probit model.
Mussida C, Zanin L.
europepmc +6 more sources
A Multivariate Probit Model for Learning Trajectories: A Fine-Grained Evaluation of an Educational Intervention. [PDF]
Advances in educational technology provide teachers and schools with a wealth of information about student performance. A critical direction for educational research is to harvest the available longitudinal data to provide teachers with real-time ...
Chen Y, Culpepper SA.
europepmc +4 more sources
Dynamics of multiple sustainable agricultural intensification practices adoption: Application of the intertemporal multivariate probit model. [PDF]
Applying an intertemporal multivariate probit model, we reveal complex complementarity and substitution effects as well as new insights on the drivers of adopting input-intensive and natural resource management (NRM) practices in rural Ethiopia.
Ali Mohammed Oumer +2 more
doaj +3 more sources
Bayesian analysis of a multivariate spatial ordered probit model
Many phenomena are correlated and spatially dependent. In addition, some of them are ordinal discrete responses. Thus, a model is needed to capture the interactions of multivariate ordinal outcomes and spatial dependences. Following Smith and LeSage (2004) and Jeliazkov et al.
Ping Gao
semanticscholar +5 more sources
Bayesian analysis of a dynamic multivariate spatial ordered probit model
Spatial econometrics has few studies on multivariate ordinal responses. This study proposes a dynamic multivariate spatial ordered probit (DMSOP) model, which is the first attempt to capture temporal and spatial dependencies simultaneously for multivariate ordinal responses.
Ping Gao, Zixiang Lu
semanticscholar +4 more sources
Psychological Help-Seeking Status for Living with Mental Health Conditions in Türkiye: Using a Multivariate Probit Model. [PDF]
Background/aim: Mental disorders constitute a significant public health concern, contributing significantly to the overall disease burden. Individuals experiencing mental distress often delay or avoid seeking psychological help or do not seek help due to
Bayrakçeken E, Alkan Ö, Abar H.
europepmc +2 more sources
Analyzing Financial Insufficiency of Households in Turkey with Multivariate Probit Model
Permanent or particular financial insufficiencies of households cause crucial interruptions on compulsory payments of households. In this study, the determining factors of financial insufficiency of 11918 households that surveyed in TurkStat’s Survey of Income and Living Conditions (SILC) 2012 are analyzed. The financial insufficiency of households can
Çiler SİGEZE, Mehmet Uğur
semanticscholar +5 more sources
Bayesian inference in the multivariate probit model
Correlated binary data arise in many applications. Any analysis of this type of data should take into account the correlation structure among the variables. The multivariate Probit model (MVP), introduced by Ashford and Snowden (1970), is a popular class of models particularly suitable for the analysis of correlated binary data.
Aline Tabet
semanticscholar +3 more sources
Factors affecting market outlet choice of agroforestry based mango producers in Kwale and Kilifi counties, Kenya: The application of the Multivariate Probit model [PDF]
Access to profitable market outlets for agroforestry mango producers is a major concern in Kwale and Kilifi counties. This paper is set to determine the factors affecting the choice of market outlets among agroforestry mango producers. The study analyzed
Abel Mbega Mwembe +3 more
openalex +2 more sources

