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Estimating Alternative Technology Sets in Nonparametric Efficiency Analysis: Restriction Tests for Panel and Clustered Data

Author

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  • Anne Neumann
  • Maria Nieswand
  • Torben Schubert
Abstract
Nonparametric efficiency analysis has become a widely applied technique to support industrial benchmarking as well as a variety of incentive-based regulation policies. In practice such exercises are often plagued by incomplete knowledge about the correct specifications of inputs and outputs. Simar and Wilson (2001) and Schubert and Simar (2011) propose restriction tests to support such specification decisions for cross-section data. However, the typical oligopolized market structure pertinent to regulation contexts often leads to low numbers of cross-section observations, rendering reliable estimation based on these tests practically unfeasible. This small-sample problem could often be avoided with the use of panel data, which would in any case require an extension of the cross-section restriction tests to handle panel data. In this paper we derive these tests. We prove the consistency of the proposed method and apply it to a sample of US natural gas transmission companies in 2003 through 2007. We find that the total quantity of gas delivered and gas delivered in peak periods measure essentially the same output. Therefore only one needs to be included. We also show that the length of mains as a measure of transportation service is non-redundant and therefore must be included.

Suggested Citation

  • Anne Neumann & Maria Nieswand & Torben Schubert, 2013. "Estimating Alternative Technology Sets in Nonparametric Efficiency Analysis: Restriction Tests for Panel and Clustered Data," RSCAS Working Papers 2013/13, European University Institute.
    • Handle: RePEc:rsc:rsceui:2013/13
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    References listed on IDEAS

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    Cited by:

    1. Stefan Seifert, 2014. "Effizienzanalysemethoden in der Regulierung deutscher Elektrizitäts- und Gasversorgungsunternehmen," DIW Roundup: Politik im Fokus 40, DIW Berlin, German Institute for Economic Research.
    2. Tarancón, Miguel-Ángel & Gutiérrez-Pedrero, María-Jesús & Callejas, Fernando E. & Martínez-Rodríguez, Isabel, 2018. "Verifying the relation between labor productivity and productive efficiency by means of the properties of the input-output matrices. The European case," International Journal of Production Economics, Elsevier, vol. 195(C), pages 54-65.

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    More about this item

    Keywords

    Benchmarking models; Network industries; Nonparametric efficiency estimation; Data envelopment analysis; Testing restrictions; Subsampling; Bootstrap.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities

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