Adjustment and unobserved heterogeneity in dynamic stochastic frontier models

Grigorios Emvalomatis

    Research output: Contribution to journalArticlepeer-review

    29 Citations (Scopus)


    Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way of addressing the issue of temporal variation in firm-level efficiency scores. They are justified using an underlying model of dynamic firm behavior. In this paper we argue that these models could have radically different implications for the expected long-run efficiency scores in the presence of unobserved heterogeneity. The possibility of accounting for unobserved heterogeneity is explored. Random- and correlated random-effects dynamic stochastic frontier models are proposed and applied to a panel of US electric utilities.
    Original languageEnglish
    Pages (from-to)7-16
    Number of pages10
    JournalJournal of Productivity Analysis
    Issue number1
    Publication statusPublished - 1 Feb 2012


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