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Specification Testing of Production Frontier Function in Stochastic Frontier Model

Author

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  • Guo, Xu
  • Li, Gao Rong
  • Wong, Wing Keung

Abstract

Parametric production frontier function has been commonly employed in stochas-tic frontier model but there was no proper test statistic for its plausibility. To fill into this gap, this paper develops two test statistics to test for a hypothesized parametric production frontier function based on local smoothing and global smoothing, respectively. We then pro-pose the residual-based wild bootstrap approach to compute the p-values of our proposed test statistics. Our proposed test statistics are robust to heteroscedasticity. Simulation studies are carried out to examine the infinite sample performance of the sizes and powers of the test statistics.

Suggested Citation

  • Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:57999
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    References listed on IDEAS

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    11. Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-468, October.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Stochastic frontier; Specification testing; Wild bootstrap.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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