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Efficiency measurement in rotating panel data

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  • Almas Heshmati

Abstract

Rotating panel data are used with estimation of stochastic production frontier. The model can be viewed as a generalization of the regular production function estimation that accommodates technical inefficiency as well as firm heterogeneity. In particular, while estimating technical efficiency for each firm over time we control for firmspecific effects and separate them from technical inefficiency. Estimation of the model is considered in two steps. In the first step we estimate parameters of the underlying productionfunction using generalized least squares methodwhich are then used in the estimation of technical efficiency in the second step. As an empirical application we used rotating data on 1425 Swedish dairy farms observed during 1976-1988. The mean technical efficiency of these farms is found to be 94.5% and 16% of the farms are fully efficient. Evidence of technical regress about 1% per annum is observed during 1976 to 1984.

Suggested Citation

  • Almas Heshmati, 1998. "Efficiency measurement in rotating panel data," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 919-930.
  • Handle: RePEc:taf:applec:v:30:y:1998:i:7:p:919-930
    DOI: 10.1080/000368498325354
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    Cited by:

    1. 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.
    2. G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.
    3. Mohamed Goaïed & Rym Ayed-Mouelhi, 2000. "Efficiency Measurement With Unbalanced Panel Data: Evidence from Tunisian Textile, Clothing and Leather Industries," Journal of Productivity Analysis, Springer, vol. 13(3), pages 249-262, May.
    4. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    5. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.

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