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Title:Bootstrap DEA and hypothesis testing PDF Logo
Authors:Tziogkidis, Panagiotis
Issue Date:2012
Series/Report no.:Cardiff Economics Working Papers E2012/18
Abstract:Bootstrapping non-parametric models is a fairly complicated exercise which is associated with implicit assumptions or requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade; however, some of its assumptions and properties are still quite unclear, which may lead to mistakes in implementation and hypothesis testing. This paper clarifies these issues and proposes a hypothesis testing procedure, along with its limitations, which could be extended to test almost any hypothesis in bootstrap DEA. Moreover, it enhances the intuition behind bootstrap DEA and highlights logical and theoretical pitfalls that should be avoided.
Subjects:Data Envelopment Analysis
Efficiency
Bootstrap
Bootstrap DEA
Hypothesis Testing
JEL:C12
C14
C15
C61
C67
Document Type:Working Paper
Appears in Collections:Cardiff Economics Working Papers

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