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Accounting for Background Variables in Stochastic Frontier Analysis

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Abstract

The question of how to model background variables in stochastic frontier analysis is seldom discussed in the literature. Some studies, following on from a long history of two-step TFP studies, include them in the determinants of efficiency. Others include them in the frontier itself. We propose a statistical method to obtain the appropriate specification of the influences on costs and inefficiency. We provide the example of a stochastic cost frontier for a panel of English and Welsh universities.

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  • Philip Stevens, 2004. "Accounting for Background Variables in Stochastic Frontier Analysis," National Institute of Economic and Social Research (NIESR) Discussion Papers 239, National Institute of Economic and Social Research.
    • Handle: RePEc:nsr:niesrd:239
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    Cited by:

    1. Maria Rita Pierleoni & Stefano Gori, 2013. "Efficiency analysis postal operators: comparison between the United States and Europe," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Reforming the Postal Sector in the Face of Electronic Competition, chapter 18, pages 261-276, Edward Elgar Publishing.
    2. Geys, Benny & Heinemann, Friedrich & Kalb, Alexander, 2010. "Voter involvement, fiscal autonomy and public sector efficiency: Evidence from German municipalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 265-278, June.
    3. Fandi Galang Wicaksana & R. Agus Trihatmoko & Djoko Suhardjanto & Henny Murtini, 2019. "The Regulation on Village Governance in Indonesia: Efficient Contracting in Agency Theory," Journal of Public Administration and Governance, Macrothink Institute, vol. 9(2), pages 110-137, December.
    4. Geys, Benny & Heinemann, Friedrich & Kalb, Alexander, 2007. "Local Governments in the Wake of Demographic Change: Efficiency and Economies of Scale in German Municipalities," ZEW Discussion Papers 07-036, ZEW - Leibniz Centre for European Economic Research.
    5. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
    6. Roger Bowden, 2004. "McHouse prices, capital hoovering, and real exchange rate exposures," New Zealand Economic Papers, Taylor & Francis Journals, vol. 38(1), pages 119-139.
    7. Weiping Huang, 2014. "Analyzing the Dynamical Factors of Housing Price in China," Research in World Economy, Research in World Economy, Sciedu Press, vol. 5(1), pages 59-64, March.
    8. Raimundo Soto & Rosalía Vásquez, 2011. "The Efficiency Cost of the Kafala in Dubai: A Stochastic Frontier Analysis," Documentos de Trabajo 399, Instituto de Economia. Pontificia Universidad Católica de Chile..
    9. Geys, Benny & Moesen, Wim, 2008. "Exploring sources of local government technical inefficiency: evidence from Flemish municipalities [Ursachenforschung zur technischen Ineffizienz kommunaler Verwaltungen: Evidenz von flämischen Gem," Discussion Papers, Research Unit: Market Processes and Governance SP II 2008-18, WZB Berlin Social Science Center.

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