Results 11 to 20 of about 4,588 (212)
Factor affecting outlet choice of onion producers Northwest Ethiopia in multivariate probit approach
Onion is an important vegetable product for food security and income generation to a large proportion of the rural household of Ethiopia. Enhancing onion farmers to reach markets and actively engage in the markets as a key challenges influencing onion ...
Habtamu Mossie +2 more
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Simulated Multivariate Random-Effects Probit Models for Unbalanced Panels [PDF]
This article develops a method for implementing a simulated multivariate random-effects probit model for unbalanced panels (with gaps) and illustrates the model by using artificial data. Halton draws generated by mdraws are used to simulate multivariate normal probabilities with the mvnp() egen function.
Plum, Alexander, Plum, Alexander
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Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models [PDF]
The multinomial probit model has emerged as a useful framework for modeling nominal categorical data, but extending such models to multivariate measures presents computational challenges. Following a Bayesian paradigm, we use a Markov chain Monte Carlo (MCMC) method to analyze multivariate nominal measures through multivariate multinomial probit models.
Xiao Zhang +2 more
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DETERMINANTS OF VERTICAL COORDINATION OPTION CHOICES AMONG SMALLHOLDER FRENCH BEANS PRODUCERS IN KENYA [PDF]
Research background: With market liberalization and the introduction of the new Global GAP measures, several vertical coordination options have emerged, presenting smallholder farmers with multiple market outlets.
Naomi Chebiwot CHELANGA +2 more
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Due to the rising demand for agricultural use and intensive crop management on existing croplands to meet the needs of a growing global population, water scarcity in agriculture is becoming increasingly important.
Eliaza Mkuna, Edilegnaw Wale
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Estimation of Multivariate Probit Models via Bivariate Probit [PDF]
In this article, I suggest the utility of fitting multivariate probit models using a chain of bivariate probit estimators. This approach is based on Stata's biprobit and suest commands and is driven by a Mata function, bvpmvp(). I discuss two potential advantages of the approach over the mvprobit command (Cappellari and Jenkins, 2003, Stata Journal 3 ...
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Most smallholder farmers in sub-Saharan Africa (SSA) are adversely affected by low soil fertility, land degradation and climate change-related shocks such as drought. These problems lead to low productivity and low household income.
George Magambo Kanyenji +3 more
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In this study, we examined the determinants of choice of variety including DTMV, local variety and combination of the two varieties using multivariate probit model.
Adetomiwa Kolapo +7 more
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Marginal effects in multivariate probit models [PDF]
Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often a main target of applied microeconometric analysis. In the specific context of probit models, estimation of partial effects involving outcome probabilities will often be of interest. Such estimation is straightforward in univariate models,
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This study was required to assess the existing tef market outlets and examine factors affecting market outlet choices among smallholder tef producers in western Ethiopia. For this study qualitative and quantitative data were collected from tef producers.
Kifle Degefa +2 more
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