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Productivity and Performance: A GMM approach

Author

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  • Mike G. Tsionas
  • Subal C. Kumbhakar

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.

Suggested Citation

  • Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Productivity and Performance: A GMM approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 331-344, April.
    • Handle: RePEc:bla:obuest:v:85:y:2023:i:2:p:331-344
    DOI: 10.1111/obes.12530
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    References listed on IDEAS

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    Cited by:

    1. Taining Wang & Zhao Wang & Feng Yao & Subal C. Kumbhakar, 2026. "Estimating Corporate Investment Efficiency with Bias Correction: A Semiparametric Panel Model Approach," Working Papers 26-01, Department of Economics, West Virginia University.
    2. Mohammad Zeqi Yasin, 2025. "Superstars or Super-Villains? Productivity Spillovers and Firm Dynamics in Indonesia," Papers 2510.11139, arXiv.org.

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