... Income Dynamics Study (NIDS) data was used. Propensity score matching (PSM) was employed to obtain a matched group of rural residents and rural-to-urban migrants with similar probabilities of migrating from rural to urban areas. Linear regression analyses were performed after the PSM analysis...

... of Sikkim, India, using a multi-stage cluster sampling. A multiple linear regression model is used to assess the impact of training participation on entrepreneurial skill. We correct for the potential self-selection bias associated with training participation using Propensity Score Matching (PSM) method...

... using a multistage random sampling method. Field research is conducted in the state of Jharkhand, primarily focusing on women belonging to the scheduled tribe category. The propensity score matching technique derives the results using the psmatch2 command in STATA. Findings The results show...

... in GannaBossa district, Ethiopia. Design/methodology/approach A multistage stratified random sampling technique was adopted to select 289 study participants. The data were analysed using both descriptive and inferential data analysis techniques. Propensity score matching (PSM) and logit regression were...

... data were obtained from a survey of 560 organic farming households, 280 of which are FPO members and the rest 280 are non-members. Propensity score matching (PSM) is used to estimate the impact of FPO membership on net returns, return on investment (ROI) and profit margin. Findings Results show...

... a propensity score matching approach which corrects for the potential self-selection bias in the sample. Subsequently, a covariate adjustment estimator verifies the robustness of the approach. Findings The study finds that “size of landownership”, “amount of loan borrowed”, “member's age”, “number...

... adopted the new technique belong to the treatment group, and otherwise, the control group. For analytical purpose, a propensity score matching method has been used to estimate the counterfactual impact of the adoption of the new technique of farming on farmers' agricultural income. Findings The study...

... regression and propensity score matching models were used to analyze the impact of cash savings on households' food security. Findings About, 43.5% of coffee farmers did not participate in cash savings during the study period, while 50.6% had no access to credit. The major factors that limit households...

... analysis and propensity score matching. Findings The study finds that the investment has a significant negative impact on the wealth status of affected households and deteriorated their asset base. Practical implications The results imply that inclusive and fair business models that safeguard...

.../approach In order to measure the impact of the programme, the authors apply propensity score matching, a quasi-experimental technique that allows us to find an appropriate control group to compare with the treatment group. Findings Results show that the programme does not always manage to bring...

...-experimental method in propensity score matching (PSM) with bootstrapped standard errors to alleviate the possibility of selection bias associated with mobile money use and bank account ownership. As a sensitivity check, the authors calculate the average treatment effect (ATE) using kernel-based matching...

.../approach Using nationally representative household data from the sixth round of the Ghana Living Standards Survey (GLSS 6), the paper employs endogenous switching regression and propensity score matching techniques to account for potential selectivity bias. Findings Results indicate that households...

... farmers in South Western Nigeria with a special focus on farmers’ groups formed by the NICANVEG project in Osun, Oyo, Ondo and Ekiti states. Descriptive statistics and propensity score matching (PSM) was used to analyze the objective. Findings Perceptions on individual household income reveal...

... system. Foster, Greer and Thorbecke (FGT) analysis was used to profile farmer’s poverty status, while propensity score matching (PSM) was used to assess the impact of e-wallet on welfare using per capita expenditure as its proxy. Findings The FGT analysis shows that poverty incidence, depth...

... households (361 treated and 369 control) in the Tigray region of Ethiopia and propensity score matching methods to estimate the impact. Findings – The authors find that the extension program had a large positive impact on household welfare – increasing income with about 10 percent – and on investment...