Abstract
Nowadays, agriculture extension programmes are practised in many parts of the world. There is a mixture of results about the effects of agriculture intervention programmes. The literature shows that the interventions are ineffective and have limited diffusion. On the other side, it shows that interventions are effective. Following different arguments about the effects of agriculture extension, this paper adopted Propensity Score Matching (PSM) to analyze the effects of the District Agricultural Sector Investment Project (DASIP) using agriculture data. The study was conducted in rural Tanzania areas. It covered five regions namely Kagera, Mwanza, Mara, Simiyu and Kigoma. The study focused on agro-ecological zone where corn is cultivated. Two methods which are questionnaire administration and direct oral interview were used to collect primary data. The collection of data using the questionnaire was done from both participants (359) and non-participants (519). Before running the independent t test, the estimation of propensity score was done using Logistic regression. Thirteen confounding variables were used to estimate propensity scores.
Josephat, P (2021). Analysis of Effects of Agriculture Intervention Using Propensity Score Matching. Afribary. Retrieved from https://tracking.afribary.com/works/analysis-of-effects-of-agriculture-intervention-using-propensity-score-matching
Josephat, Peter "Analysis of Effects of Agriculture Intervention Using Propensity Score Matching" Afribary. Afribary, 01 May. 2021, https://tracking.afribary.com/works/analysis-of-effects-of-agriculture-intervention-using-propensity-score-matching. Accessed 29 Nov. 2024.
Josephat, Peter . "Analysis of Effects of Agriculture Intervention Using Propensity Score Matching". Afribary, Afribary, 01 May. 2021. Web. 29 Nov. 2024. < https://tracking.afribary.com/works/analysis-of-effects-of-agriculture-intervention-using-propensity-score-matching >.
Josephat, Peter . "Analysis of Effects of Agriculture Intervention Using Propensity Score Matching" Afribary (2021). Accessed November 29, 2024. https://tracking.afribary.com/works/analysis-of-effects-of-agriculture-intervention-using-propensity-score-matching