Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana
This study employs stochastic frontier analysis (SFA) correcting for sample selection bias, to determine technical efficiency (TE) and technology gap using cross-sectional data collected from 543 rice farmers ...