Efficiency estimation using rotating panel data models

Subal C. Kumbhakar

doi:10.1016/0165-1765(92)90049-5

Efficiency estimation using rotating panel data models

Subal C. Kumbhakar

Economics

Binghamton University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This paper considers specification and estimation of technical efficiency using the stochastic production frontier technique in a rotating panel data environment. The maximum likelihood method is developed to estimate both the parameters of a translog production function and technical efficiency for each production unit over time. The efficiency measures derived in this paper are free from time-invariant individual-specific effects.

Original language	English
Pages (from-to)	169-174
Number of pages	6
Journal	Economics Letters
Volume	38
Issue number	2
DOIs	https://doi.org/10.1016/0165-1765(92)90049-5
State	Published - Feb 1992

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title = "Efficiency estimation using rotating panel data models",

abstract = "This paper considers specification and estimation of technical efficiency using the stochastic production frontier technique in a rotating panel data environment. The maximum likelihood method is developed to estimate both the parameters of a translog production function and technical efficiency for each production unit over time. The efficiency measures derived in this paper are free from time-invariant individual-specific effects.",

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AB - This paper considers specification and estimation of technical efficiency using the stochastic production frontier technique in a rotating panel data environment. The maximum likelihood method is developed to estimate both the parameters of a translog production function and technical efficiency for each production unit over time. The efficiency measures derived in this paper are free from time-invariant individual-specific effects.

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DO - 10.1016/0165-1765(92)90049-5

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SP - 169

EP - 174

JO - Economics Letters

JF - Economics Letters

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Efficiency estimation using rotating panel data models

Abstract

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