Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand
The traditional Stochastic Frontier Model (SFM) suffers from a very restrictive assumption of independence of its error components and also limited ability to address heterogeneity (inefficiency effects) satisfactorily, thereby leading to potential biases in the estimation of model parameters, ident...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2022-07-01
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| Serie: | Agriculture |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2077-0472/12/8/1078 |
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