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On Estimating Optimal Alpha-Returns to Scale

Author

Listed:
  • Jean-Philippe Boussemart

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Walter Briec

    (CRESEM - Centre de Recherche sur les Sociétés et Environnements en Méditerranées - UPVD - Université de Perpignan Via Domitia)

  • Hervé Leleu

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Paola Ravelojaona

    (CRESEM - Centre de Recherche sur les Sociétés et Environnements en Méditerranées - UPVD - Université de Perpignan Via Domitia)

Abstract

From a theoretical point of view, -returns to scale is a relevant alternative to traditional DEA models for estimating production technologies under global returns to scale assumptions such as strictly increasing or strictly decreasing returns to scale. However, from a methodological and empirical point of view, a remaining question is the estimation of . This contribution proposes an effective methodology to estimate an optimal value of based upon a goodness-of-fit strategy. A global method using a grid search is presented first. Second, for generalised FDH technologies, a minimum extrapolation principle is developed to estimate directly the optimal -returns from a linear program. An illustration on 63 US industries over the period 1987-2012 shows the relevancy of our approach.

Suggested Citation

  • Jean-Philippe Boussemart & Walter Briec & Hervé Leleu & Paola Ravelojaona, 2017. "On Estimating Optimal Alpha-Returns to Scale," Post-Print halshs-01794363, HAL.
    • Handle: RePEc:hal:journl:halshs-01794363
    DOI: 10.1080/01605682.2017.1418148
    as

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