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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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    Embargo ends: 1/12/24

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Productivity and Performance: A GMM approach

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<mark>Journal publication date</mark>30/04/2023
<mark>Journal</mark>Oxford Bulletin of Economics and Statistics
Issue number2
Volume85
Number of pages14
Pages (from-to)331-344
Publication StatusPublished
Early online date1/12/22
<mark>Original language</mark>English

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.

Bibliographic 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.