Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana

Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana

Abstract 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 in Northern Ghana. The results showed that corrected sample selection TE estimates...

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Bibliographic Details
Main Authors: Shaibu Baanni Azumah, Samuel Arkoh Donkoh, Joseph Agebase Awuni
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:Agricultural and Food Economics
Subjects:
Rice production
Sample selection
Stochastic frontier
Technical efficiency
Northern Ghana
Online Access:http://link.springer.com/article/10.1186/s40100-019-0130-z

Internet

http://link.springer.com/article/10.1186/s40100-019-0130-z

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