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Frontier Techniques: Contrasting the Performance of (Single-)Truncated Order Regression Methods and Replicated Moments

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  • Ana Paula Martins

Abstract

This research contrasts three econometric alternatives for stochastic efficiency frontier analysis: order – inter-quantile – and inverse order regression under the assumption of truncated error term distribution, and replicated moment estimation. The demonstration departs from a simple linear regression form of the effective frontier; truncated (at zero) errors are then added to it for simulation purposes. For order regression, experiments with the standard normal, uniform, exponential, Cauchy and logistic error terms are provided. For complex error structures we rely on normal distributions only. The three alternatives would perform satisfactorily for simple error disturbances, specially if they are normal. With more than one residual added to the dependent variable, the weight of the unrestricted range one can blur the conclusions regarding observation efficiency.

Suggested Citation

  • Ana Paula Martins, 2010. "Frontier Techniques: Contrasting the Performance of (Single-)Truncated Order Regression Methods and Replicated Moments," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 53(2), pages 75-93.
    • Handle: RePEc:eei:journl:v:53:y:2010:i:2:p:75-93
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    References listed on IDEAS

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    1. Ana Paula Martins, 2010. "Splitting Games: Nash Equilibrium and the Optimisation Problem," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 53(1), pages 1-28.
    2. Ana Paula Martins, 2010. "Frontier Techniques: Contrasting the Performance of (Single-)Truncated Order Regression Methods and Replicated Moments," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 53(2), pages 75-93.
    3. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
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    Cited by:

    1. William H. Greene & Ana P. Martins, 2013. "Striking Features of the Labor Market: Empirical Evidence," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(2), pages 25-53.
    2. Ana Paula Martins, 2011. "Compliance with the Institutional Wage in Dualistic Models," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 54(2), pages 93-126.
    3. James Anderson, 2001. "Migration, FDI, and the Margins of Trade," EERI Research Paper Series EERI_RP_2001_05, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Ana Paula Martins, 2010. "Frontier Techniques: Contrasting the Performance of (Single-)Truncated Order Regression Methods and Replicated Moments," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 53(2), pages 75-93.
    5. Ana Paula Martins, 2010. "Splitting Games: Nash Equilibrium and the Optimisation Problem," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 53(1), pages 1-28.
    6. William H. Greene & Ana P. Martins, 2013. "Striking Features of the Labor Market: Theory," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(2), pages 1-24.
    7. William H. Greene & Ana P. Martins, 2002. "Striking Features of the Labor Market," EERI Research Paper Series EERI RP 2002/08, Economics and Econometrics Research Institute (EERI), Brussels.

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    More about this item

    Keywords

    Stochastic Frontier Model; Generalized Method of Order Statistics; Minimum Distance Method of Order Statistics; Inverse Order Regression; Replicated Moments; Linear Models.;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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