Analysis of Causes of Cattle Death Using Discrete Regression Models inrnEthiopiarnAbdulaziz ShiffarnAddis Ababa University, 2015rnEthiopia is believed to have the largest cattle population in Africa. The cattlernsub-sector has been contributing a considerable portion to the economy of therncountry, food supply and foreign currency income. For the majority ofrnsmallholder farmerâ€™s cattle are livelihood and for some farmers the sub-sectorrnis the only livelihood. The objective of this study is to identify the mostrnimportant factors affecting cattle death in Ethiopia. The dataset in this studyrnis based on the 2014 agricultural survey obtained from Central StatisticalrnAgency (CSA), Ethiopia. Four count models: Poisson, NB, ZIP and ZINB modelrnwere applied in order to identify the best fit model for cattle death in Ethiopia.rnThe preliminary predicted values and model selection criteria such as AIC,rnLRT, deviance and Vuong statistic showed that ZINB regression model is thernmost appropriate model to fit cattle death. The results of ZINB analysisrnrevealed that age, household size, educational background, farming type,rnagro-ecology zone and land holding size were found to have statisticallyrnsignificant effect on cattle death. Based on the findings, both governmentsrnand stakeholders should work hard to reduce cattle death by promotingrnmixed farming system and exercising continuous trainings on handling cattlernfor small holding farmers