The importance of agricultural technology in enhancing the welfares of farmers can be realized when yield gain from the technologies results in meaningful gain in nutrietionaly adequate foods. In this regared, improved varieties were play a great role in improving households food security, food consumption, and food diversity, and there-by contributing to nutrition security. This study, therefore, analyzed the probability and use intensity of improved soybean varieties adoption and its effect on households’ food security. The data was collected from Pawe woreda of Benshangul Gumuz Region in 2019 meher season. The survey consists of 384 households out of whom 227 are improved soybean variety growers. In this study a multi-stage stratified sampling technique was employed to select rural Kebeles and households. Four rural Kebeles were selected randomly. Both logit and Tobit model were used to analyze factors affecting adoption probability and adoption intensity of improved soybean varieties respectively and an endogenous switching regression model (ESRM) was used to analyze the impact of improved soybean varieties on households’ food security using food security scale, food consumption score, and household dietary diversity score as proxy variables. Education level, total land owed, the existence of neighbor adopter, use of credit, maturity period, participation in training, and income of households were found as the main factors of adoption probability and use intensity of improved soybean varieties. The Endogenous switching regression model result shows that, adoption of improved soybean varieties increases the average dietary diversity score, food consumption and food security scale 0.678, 4.095 and 0.725 points for 24 hours,7 days and 12 monthes respectively. The results suggest that promotion and adoption of improved soybean varieties, by strengthening extension service, will contribute to improve the nutritional status of the farming households. Keywords: Adoption, Endogenous switching regression model, Food security, Improved Soybean Variety, Impact, Tobit model.