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Approximation Properties and Estimation of the Translog Production Function with Panel Data

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  • Tzouvelekas, Evaggelos

Abstract

This paper provides a general theoretical and methodological framework for the estimation of the translog production function using panel data. The estimation is carried out using generalised least squares estimator (random-effects model) under different maintained hypotheses for the underlying production technology. Our empirical results indicate that imposing a priori restrictions such as homotheticity, homogeneity or separability on the production structure are not palatable and should rather remain a testable hypothesis within the estimation framework.

Suggested Citation

  • Tzouvelekas, Evaggelos, 2000. "Approximation Properties and Estimation of the Translog Production Function with Panel Data," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 1(01), pages 1-16, January.
    • Handle: RePEc:ags:aergaa:26412
    DOI: 10.22004/ag.econ.26412
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    4. Dewbre, Joshua, 2010. "Improving resource allocation and incomes in Vietnamese agriculture," IFPRI discussion papers 984, International Food Policy Research Institute (IFPRI).
    5. Sam Jones, 2020. "Testing the Technology of Human Capital Production: A General‐to‐Restricted Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1429-1455, December.
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    7. Wesseh, Presley K. & Lin, Boqiang, 2016. "Can African countries efficiently build their economies on renewable energy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 161-173.
    8. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52.
    9. Norbert Ernst & Michael Sigmund, 2023. "Are zombie firms really contagious? (Norbert Ernst, Michael Sigmund)," Working Papers 245, Oesterreichische Nationalbank (Austrian Central Bank).
    10. Wesseh, Presley K. & Lin, Boqiang, 2016. "Output and substitution elasticities of energy and implications for renewable energy expansion in the ECOWAS region," Energy Policy, Elsevier, vol. 89(C), pages 125-137.
    11. Wesseh, Presley K. & Lin, Boqiang, 2016. "Factor demand, technical change and inter-fuel substitution in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 979-991.
    12. Jorge Ibarra Salazar & Francisco García Pérez, 2016. "Las demandas de factores productivos en la industria maquiladora," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 31(2), pages 265-303.
    13. Shaibu, Abdul-Fatawu & Al-Hassan, R. M., 2015. "Accessibility of Rice Farmers to the Ghana School Feeding Programme and its Effect on Output," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(3), pages 1-12, September.

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