Likelihood ratio tests for model selection of stochastic frontier models

Journal of Productivity Analysis

Volumn 34, Issue 1, 2010, Pages 3-13

  Lai, Hung pin ^a   Huang, Cliff J ^b  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Akaike information criterion; Kullback Leibler information criterion; Likelihood ratio test; Stochastic frontier model; Takeuchi information criterion

Indexed keywords

EID: 77954245019     PISSN: 0895562X     EISSN: 15730441     Source Type: Journal    
DOI: 10.1007/s11123-009-0160-8     Document Type: Article

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