Expanding Market Participation Among Smallholder Livestock Producers: A Collection of Studies Employing Gibbs Sampling and Data from the Ethiopian Highlands, 1998-2001ILRI (aka ILCA and ILRAD), 2002 M01 1 - 77 pages This compendium reproduces results from several, independent research projects undertaken at the Livestock Policy Analysis Programme (LPAP) of the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. This reproduction brings together separate pieces of research that relate to the same goals, namely, market expansion, food security, poverty alleviation and hunger prevention. It is to showcase the power of Markov chain Monte Carlo (MCMC) methods, particularly Gibbs sampling, in providing direct answers to policy questions. It is hoped that the empirical research showcased in this compendium will spur other researchers to apply MCMC methods and the Bayesian paradigm to the heterogeneous research projects and policy questions that employed research encounters in less developed regions. |
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Expanding Market Participation Among Smallholder Livestock Producers: A ... Garth John Holloway,Simeon Ehui No preview available - 2002 |
Common terms and phrases
Addis Ababa additional algorithm Bayesian breed cows censor set censored observations censoring point co-operatives coefficients collection component conditional distributions convergence covariates crossbred animals dairy production data augmentation denote derive Distance to market double hurdle entry Ethiopian highlands extension agents farmers Figure fixed costs fluid milk formulation Gibbs sampling Gibbs-sample medians household head household rank nearest Ilu-Kura implied important joint posterior latent data litres of milk market estimates market participation marketable surplus Markov chain MCMC measures milk group milk market milk output milk per day milk sales Mirti nearest to farthest Negative predicted values non-informative prior Non-participant household rank normal distribution Number of crossbred number of visits participation decision Positive predicted values posterior distribution posterior means potential probit model random censoring regressors reports sales quantity smallholder statistics Tobit regression transactions costs unknown quantities v₁ variable vector visits by extension y₁ z₁ Zero censoring