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Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data

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  • K. Hadri
  • C. Guermat
  • J. Whittaker

Abstract

The accuracy of technical efficiency measures is important given the interest in such measures in policy discussions. In recent years the use of stochastic frontiers has become popular for estimating technical inefficiency, but estimated inefficiencies are sensitive to specification errors. One source of such errors is heteroscedasticity. This paper addresses this issue by extending the Hadri (1999) correction for heteroscedasticity to stochastic production frontiers and to panel data. It is argued that heteroscedasticity within an estimation can have a significant effect on results, and that correcting for heteroscedasticity yields more accurate measures of technical inefficiency. Using panel data on cereal farms, it is found that the usual technical efficiency measures used in stochastic production frontiers are significantly sensitive to the extended correction for heteroscedasticity.

Suggested Citation

  • K. Hadri & C. Guermat & J. Whittaker, 2003. "Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data," Journal of Applied Economics, Taylor & Francis Journals, vol. 6(2), pages 255-268, November.
    • Handle: RePEc:taf:recsxx:v:6:y:2003:i:2:p:255-268
    DOI: 10.1080/15140326.2003.12040594
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    Cited by:

    1. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    2. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    3. Xu, Baochang & Li, Sihui & Afzal, Ayesha & Mirza, Nawazish & Zhang, Meng, 2022. "The impact of financial development on environmental sustainability: A European perspective," Resources Policy, Elsevier, vol. 78(C).
    4. Rao, Xudong, 2014. "Land Fragmentation with Double Bonuses -- The Case of Tanzanian Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169436, Agricultural and Applied Economics Association.
    5. Maria Nieswand & Matthias Walter, 2010. "Cost Efficiency and Subsidization in German Local Public Bus Transit," Discussion Papers of DIW Berlin 1071, DIW Berlin, German Institute for Economic Research.
    6. Shinji Yane & Sanford Berg, 2013. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2337-2348, June.
    7. Salem Gheit, 2022. "A Stochastic Frontier Analysis of the Human Capital Effects on the Manufacturing Industries’ Technical Efficiency in the United States," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(3), pages 215-238, July.
    8. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    9. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    10. Sabrina Auci & Donatella Vignani, 2020. "Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 381-409, July.
    11. repec:aer:wpaper:324 is not listed on IDEAS

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