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Testing Independence in Models of Productive Efficiency

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Abstract

Bootstrap methods for inference in nonparametric models of productive efficiency can be simplified, reducing computational burden, when the independence condition implicitly assumed in Simar and Wilson (1998) holds. This paper surveys nonparametric tests of independence that might be useful in this context.

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Authors and Affiliations

  1. Department of Economics, The University of Texas, Austin, Texas, 78712, USA

    Paul W. Wilson

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  1. Paul W. Wilson
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Wilson, P.W. Testing Independence in Models of Productive Efficiency. Journal of Productivity Analysis 20, 361–390 (2003). https://doi.org/10.1023/A:1027355917855

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