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    Rights statement: This is the peer reviewed version of the following article:Tsionas, M.G. and Kumbhakar, S.C. (2023), Productivity and Performance: A GMM approach. Oxf Bull Econ Stat. https://doi.org/10.1111/obes.12530 which has been published in final form at https://onlinelibrary.wiley.com/doi/10.1111/obes.12530 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Productivity and Performance: A GMM approach

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Productivity and Performance: A GMM approach. / Tsionas, Mike G.; Kumbhakar, Subal C.
In: Oxford Bulletin of Economics and Statistics, Vol. 85, No. 2, 30.04.2023, p. 331-344.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tsionas, MG & Kumbhakar, SC 2023, 'Productivity and Performance: A GMM approach', Oxford Bulletin of Economics and Statistics, vol. 85, no. 2, pp. 331-344. https://doi.org/10.1111/obes.12530

APA

Tsionas, M. G., & Kumbhakar, S. C. (2023). Productivity and Performance: A GMM approach. Oxford Bulletin of Economics and Statistics, 85(2), 331-344. https://doi.org/10.1111/obes.12530

Vancouver

Tsionas MG, Kumbhakar SC. Productivity and Performance: A GMM approach. Oxford Bulletin of Economics and Statistics. 2023 Apr 30;85(2):331-344. Epub 2022 Dec 1. doi: 10.1111/obes.12530

Author

Tsionas, Mike G. ; Kumbhakar, Subal C. / Productivity and Performance : A GMM approach. In: Oxford Bulletin of Economics and Statistics. 2023 ; Vol. 85, No. 2. pp. 331-344.

Bibtex

@article{9ea3e32470604f70a80128eacc4aa5e7,
title = "Productivity and Performance: A GMM approach",
abstract = "In this paper we propose a single-step generalized method of moments (GMM) approach to estimate a production function with multiple quasi-fixed and variable inputs as well as productivity and inefficiency. Our approach relies on the system consisting of the production function, the first-order conditions of expected profit maximization with respect to the variable inputs, as well as general formulations for dynamic productivity and inefficiency. The estimation procedure takes care of correlations of both productivity and inefficiency with the variable inputs without using any distributional assumptions on the error terms (including inefficiency) in the system. We use Indonesian manufacturing census data to illustrate workings of our procedure.",
keywords = "Statistics, Probability and Uncertainty, Economics and Econometrics, Social Sciences (miscellaneous), Statistics and Probability",
author = "Tsionas, {Mike G.} and Kumbhakar, {Subal C.}",
note = "This is the peer reviewed version of the following article:Tsionas, M.G. and Kumbhakar, S.C. (2023), Productivity and Performance: A GMM approach. Oxf Bull Econ Stat. https://doi.org/10.1111/obes.12530 which has been published in final form at https://onlinelibrary.wiley.com/doi/10.1111/obes.12530 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. ",
year = "2023",
month = apr,
day = "30",
doi = "10.1111/obes.12530",
language = "English",
volume = "85",
pages = "331--344",
journal = "Oxford Bulletin of Economics and Statistics",
issn = "0305-9049",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Productivity and Performance

T2 - A GMM approach

AU - Tsionas, Mike G.

AU - Kumbhakar, Subal C.

N1 - This is the peer reviewed version of the following article:Tsionas, M.G. and Kumbhakar, S.C. (2023), Productivity and Performance: A GMM approach. Oxf Bull Econ Stat. https://doi.org/10.1111/obes.12530 which has been published in final form at https://onlinelibrary.wiley.com/doi/10.1111/obes.12530 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2023/4/30

Y1 - 2023/4/30

N2 - In this paper we propose a single-step generalized method of moments (GMM) approach to estimate a production function with multiple quasi-fixed and variable inputs as well as productivity and inefficiency. Our approach relies on the system consisting of the production function, the first-order conditions of expected profit maximization with respect to the variable inputs, as well as general formulations for dynamic productivity and inefficiency. The estimation procedure takes care of correlations of both productivity and inefficiency with the variable inputs without using any distributional assumptions on the error terms (including inefficiency) in the system. We use Indonesian manufacturing census data to illustrate workings of our procedure.

AB - In this paper we propose a single-step generalized method of moments (GMM) approach to estimate a production function with multiple quasi-fixed and variable inputs as well as productivity and inefficiency. Our approach relies on the system consisting of the production function, the first-order conditions of expected profit maximization with respect to the variable inputs, as well as general formulations for dynamic productivity and inefficiency. The estimation procedure takes care of correlations of both productivity and inefficiency with the variable inputs without using any distributional assumptions on the error terms (including inefficiency) in the system. We use Indonesian manufacturing census data to illustrate workings of our procedure.

KW - Statistics, Probability and Uncertainty

KW - Economics and Econometrics

KW - Social Sciences (miscellaneous)

KW - Statistics and Probability

U2 - 10.1111/obes.12530

DO - 10.1111/obes.12530

M3 - Journal article

VL - 85

SP - 331

EP - 344

JO - Oxford Bulletin of Economics and Statistics

JF - Oxford Bulletin of Economics and Statistics

SN - 0305-9049

IS - 2

ER -