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Estimating confidence intervals for technical efficiency: the case of private farms in slovenia

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  • Bernhard Brümmer

Abstract

This paper analyses the technical efficiency of private farms in Slovenia. Both parametric and non-parametric frontier techniques are employed. The results of the competing methods are compared, and variables that might determine the differences in efficiency are identified. Special attention is directed to the construction of confidence intervals for the individual efficiency estimates. For this purpose, distributional assumptions as well as bootstrapping methods are employed. The analysis reveals a significant degree of inefficiency. However, the confidence intervals suggest a more cautious interpretation of the efficiency scores. Copyright 2001, Oxford University Press.

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  • Bernhard Brümmer, 2001. "Estimating confidence intervals for technical efficiency: the case of private farms in slovenia," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 28(3), pages 285-306, October.
  • Handle: RePEc:oup:erevae:v:28:y:2001:i:3:p:285-306
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    Cited by:

    1. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2011. "Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies," Food Policy, Elsevier, vol. 36(2), pages 223-229, April.
    2. Odeck, James, 2009. "Statistical precision of DEA and Malmquist indices: A bootstrap application to Norwegian grain producers," Omega, Elsevier, vol. 37(5), pages 1007-1017, October.
    3. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2008. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2055-2061.
    4. Álvaro Ramírez Suárez, 2013. "Análisis de eficiencia económica de fincas arroceras: una aplicación de una función determinística de ingresos brutos frontera," REVISTA LEBRET, UNIVERSIDAD SANTO TOMAS - BUCARAMANGA, pages 213-240.
    5. Hansson, Helena, 2007. "Strategy factors as drivers and restraints on dairy farm performance: Evidence from Sweden," Agricultural Systems, Elsevier, pages 726-737.
    6. Wang, Tung-Pao & Shyu, Stacy Huey-Pyng & Chou, Han-Chung, 2012. "The impact of defense expenditure on economic productivity in OECD countries," Economic Modelling, Elsevier, vol. 29(6), pages 2104-2114.
    7. Lien, Gudbrand D. & Kumbhakar, Subal C. & Hardaker, J. Brian, 2008. "Determinants Of Part-Time Farming And Its Effect On Farm Productivity And Efficiency," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6701, European Association of Agricultural Economists.
    8. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    9. Iraizoz, Belen & Rapun, Manuel & Zabaleta, Idoia, 2003. "Assessing the technical efficiency of horticultural production in Navarra, Spain," Agricultural Systems, Elsevier, pages 387-403.

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