... observations related to 31,784 cereal-producing households is compiled from the Situation Assessment Survey of Agricultural Households in Rural India (2019). Econometric methods (Logistic regression, Multinomial logit model, Propensity score matching and Sensitivity analysis) are used in this study...

... crop farming households in Ghana. Design/methodology/approach The authors employ propensity score matching (PSM) methods to address potential endogeneity issues that could arise from the estimation due to selection bias. This paper uses the seventh round of Ghana living standard survey dataset...

... This study uses propensity score matching and the entropy balance approaches in a complementary way. This study compared three policy treatments – rural credit, rural insurance and both policies combined, against establishments that received neither one. The analysis considered sugarcane, grain and grape...

... user and 98 non-credit user) households from Kurfa Chele district, eastern Ethiopia. The Propensity Score Matching technique is used to estimate the impact of credit utilization on the welfare indicators. Findings The results of the econometric model estimation show that participation...

... Sheila M. Sagbo can be contacted at: nsagbo@tamu.edu 04 06 2020 17 11 2020 08 12 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Agricultural credit Microcredit Pipeline design Propensity score matching Given...

... National Sample Survey Office (NSSO), which consisted of 35,200 farming households. Logit and propensity score matching (PSM) (nearest neighbor, caliper and kernel matching) techniques were used. Findings With only around 5% of households insuring their crops and 87% of them not receiving claims, crop...

... was implemented in the Northern Region of Ghana. This paper uses the Propensity Score Matching (PSM) to estimate the average treatment effect of access to production credit on the productivity of smallholder farmers. The rationale for the choice of this estimation technique is to control for selection bias since...

... farmers with at least two years of microcredit access and 39 farmers without microcredit access in the Dormaa Municipality of Ghana collected in 2016 via semi-structured questionnaire were used. Using the propensity score matching, PSM, and data envelopment analyses approaches, the authors analysed...

.../methodology/approach The method is based on a quasi-experimental approach (propensity score matching) applied to 4.1m family farmers in Brazil. Findings Results show that farmers accessing PRONAF tended to be positively selected in terms of several observable characteristics, such as land size...

.... The authors further analyze how the frequency of loan officer rotation affects credit access in rural and in urban areas. Design/methodology/approach The authors apply propensity score matching to compare credit access between loan applicants who experienced loan officer rotation and loan applicants who...

...-sectional data from 223 maize-producing households in Northern Ghana. Design/methodology/approach Due to the exogenous assignment of credit and assumption of homogeneity in farm technologies, the propensity score matching (PSM) analysis was used to compare the average difference in TE between farmers...

... set was used to estimate the effect of project participation on farm output, yield and income using propensity score matching (PSM) methods. Findings The findings are that project participation is skewed towards experienced farmers with big-sized households and farms. The effect of project...

... Survey (ARMS) that include detailed questions on the adoption of risk management tools. Propensity score matching is used to control for the endogeneity of adoption decisions, and the profit impacts are estimated based on the matched dataset. Findings The adoption of input price risk management tools...