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Dynamic Technical Efficiency

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Productivity and Efficiency Analysis

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

Dynamic panels with non-Gaussian errors suffer from the incidental parameter bias. Simulations show that an indirect inference estimation approach provides bias correction for the model and distribution parameters. The indirect confidence set inference method is size correct and exhibits good coverage properties even for asymmetric confidence regions. Bank cost data are examined under the proposed dynamic technical efficiency framework with evidence that an MLE approach could provide misleading implications.

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Notes

  1. 1.

    The demeaning subtracts the sample mean from the series, and is indicated by an asterisk.

  2. 2.

    Data set downloaded from the website of William Greene.

  3. 3.

    On the definition of M X : Gouriéroux et al (2010) recommend the usual OLS-based projection matrix; we use an alternative form proposed and justified by Saunders (2015).

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Correspondence to Lynda Khalaf .

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Khalaf, L., Saunders, C.J. (2016). Dynamic Technical Efficiency. In: Greene, W., Khalaf, L., Sickles, R., Veall, M., Voia, MC. (eds) Productivity and Efficiency Analysis. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-23228-7_6

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