• Dibaba Debela Geleta
• Dr. N Subba Rao

This study has been carried out to investigate whether or not technology, as applied to improved seed, boosts agricultural production and productivity. If so under what instrument of impact assessment can one most prudently conduct an impact assessment of this sort while duly paying attention to the problem of endogeneity and self-selection? The fact that a certain change occurred on the question at hand should not necessarily imply that it is just because of the factor under study. In light of this the study opted for Propensity Score Matching as one of the most credible tool of impact assessment and justified its plausibility in the context of our study. The result of the Propensity Score Matching under various matching algorithms revealed that there is a quantitatively large and statistically significant impact of improved maize variety on productivity. And hence, question that really matters, the question of proper attribution of the amount of an impact together with its statistical test of the impact causing factor alone, is well addressed.

Impact, Propensity Score Matching, Productivity, Improved Seed, Agriculture, Ethiopia

"Assessment of the Impact of Adoption of Improved Maize Variety on Farm Productivity Using Propensity Score Matching (PSM): the Case of Southern Ethiopia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.314-319, January-2019, Available :http://www.jetir.org/papers/JETIR1901745.pdf

"Assessment of the Impact of Adoption of Improved Maize Variety on Farm Productivity Using Propensity Score Matching (PSM): the Case of Southern Ethiopia", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp314-319, January-2019, Available at : http://www.jetir.org/papers/JETIR1901745.pdf