Interactive benchmarking: a stochastic frontier approach

Lartey Lawson, Kurt Nielsen

    Abstract

    We discuss individual learning by interactive benchmarking using stochastic frontier models. The interactions allow the user to tailor the performance evaluation to preferences and explore alternative improvement strategies by selecting and searching the different frontiers using directional distance functions. The frontier is given by an explicit quantile, e.g. “the best 90 %”. Using the explanatory model of the inefficiency, the user can adjust the frontiers by submitting state variables that influence the inefficiency. An efficiency study of Danish dairy farms is implemented in the suggested benchmarking tool. The study investigates how different characteristics on dairy farms influences the technical efficiency.
    Original languageEnglish
    JournalThe Empirical Economics Letters
    Volume4
    Issue number4
    Pages (from-to)231-246
    Number of pages16
    ISSN1681-8997
    Publication statusPublished - 2005

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