Stochastic frontier models using the Generalized Exponential distribution

We present a new, single-parameter distributional specification for the one-sided error components in single-tier and two-tier stochastic frontier models. The distribution has its mode away from zero, and can represent cases where the most likely outcome is non-zero inefficiency. We present the nece...

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Veröffentlicht in:Journal of productivity analysis 2021-02, Vol.55 (1), p.15-29
1. Verfasser: Papadopoulos, Alecos
Format: Artikel
Sprache:eng
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Zusammenfassung:We present a new, single-parameter distributional specification for the one-sided error components in single-tier and two-tier stochastic frontier models. The distribution has its mode away from zero, and can represent cases where the most likely outcome is non-zero inefficiency. We present the necessary formulas for estimating production, cost and two-tier stochastic frontier models in logarithmic form. We pay particular attention to the use of the conditional mode as a predictor of individual inefficiency. We use simulations to assess the performance of existing models when the data include an inefficiency term with non-zero mode, and we also contrast the conditional mode to the conditional expectation as measures of individual (in)efficiency.
ISSN:0895-562X
1573-0441
DOI:10.1007/s11123-020-00591-9