Book excerpt: 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.