... First, we used a logit regression model to quantify the factors affecting market accessibility. Second, we apply propensity score matching to estimate the effects of market accessibility on agricultural income. Focus group discussions were used to gather qualitative data, and a structured questionnaire...

... online groups while minimizing the harm caused by unverified information shared within these groups. To date, numerous studies have employed propensity score matching (PSM) to compare farmers' incomes with various treatment variables, such as conversion to organic farming (Doanh et al., 2018...

... Propensity score matching India Towards this end, though India has been continuously supporting its agricultural sector through various policy measures still about 87% of total farmers are small and marginal who do not have sufficient capital to finance their farming needs (Agriculture Census, 2015...

... in Vietnam. Design/methodology/approach The study used primary data collected from vegetable farmers in Vietnam. This study utilized propensity score matching to avoid initial selection bias. The differences between participants and nonparticipants will be adjusted by matching each membership individual...

... (758) are nonparticipants or control groups. Although, after implementing a one-to-one match with the propensity score matching (PSM) (Becker and Ichino, 2002 ; Caliendo and Kopeinig, 2008), the control group observations decrease to 249, excluding three samples that are in the off-support region...