Analysis of Causes of Cattle Death Using Discrete Regression Models in Ethiopia

dc.contributor.advisorTesfaw, Dejen(PhD)
dc.contributor.authorShiffa, Abdulaziz
dc.date.accessioned2018-06-22T07:53:43Z
dc.date.accessioned2023-11-09T14:29:16Z
dc.date.available2018-06-22T07:53:43Z
dc.date.available2023-11-09T14:29:16Z
dc.date.issued2015-06
dc.description.abstractAnalysis of Causes of Cattle Death Using Discrete Regression Models in Ethiopia Abdulaziz Shiffa Addis Ababa University, 2015 Ethiopia is believed to have the largest cattle population in Africa. The cattle sub-sector has been contributing a considerable portion to the economy of the country, food supply and foreign currency income. For the majority of smallholder farmer’s cattle are livelihood and for some farmers the sub-sector is the only livelihood. The objective of this study is to identify the most important factors affecting cattle death in Ethiopia. The dataset in this study is based on the 2014 agricultural survey obtained from Central Statistical Agency (CSA), Ethiopia. Four count models: Poisson, NB, ZIP and ZINB model were applied in order to identify the best fit model for cattle death in Ethiopia. The preliminary predicted values and model selection criteria such as AIC, LRT, deviance and Vuong statistic showed that ZINB regression model is the most appropriate model to fit cattle death. The results of ZINB analysis revealed that age, household size, educational background, farming type, agro-ecology zone and land holding size were found to have statistically significant effect on cattle death. Based on the findings, both governments and stakeholders should work hard to reduce cattle death by promoting mixed farming system and exercising continuous trainings on handling cattle for small holding farmersen_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/2894
dc.language.isoenen_US
dc.publisherAddis Abeba universityen_US
dc.subjectCattle Death Using Discreteen_US
dc.titleAnalysis of Causes of Cattle Death Using Discrete Regression Models in Ethiopiaen_US
dc.typeThesisen_US

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