of the commercial surplus of teff is second to coffee. Low production and productivity, which are mainly associated with poor adoption of improved technologies, were among the major problems. Using improved agricultural technologies can increase productivity in smallholder agriculture and thus raise household income. This study aims at analysis of the impact of teff row planting on rural household income in case of Merhabete woreda, Amhara Regional state, Ethiopia. A total of 230 households (80 users and 150 non-users) were used to collect the data with survey questionnaire to generate the necessary variables. A mixed methods approach was employed, combining qualitative and quantitative data-collection tools: household survey, expert and key informant interviews and Focus Group Discussion. To measure the impact of participation in RP for the rural household teff income the researcher used an ESR model and the first stage decision (whether to participate or not) was estimated using the probit model. Variables include Tlu, famsize, Home distance from FTC, Landsize, level of education, Training, contact extension agents , Membership in social network and Neighbor user in row planting significantly affect teff row planting technology. The endogenous switching regression technique allows us to control for unobserved factors, such as confidence, the farmer’s motivation and ability, which are likely to affect both participation in RP and the outcome of interest. On average teff income of participant group obtained (10946.15)20.75% higher than non-participant groups. So it is better to encourage row planting technology adoption because the results of this study signify that teff row planting technology, increase both the teff yield and income of adopters. Key words: Row planting, Endogenous switching regression model, teff income, cost benefit