Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics

Antonio Alvarez, Christine Amsler, Luis Orea and Peter Schmidt

Journal of Productivity Analysis, 2006, vol. 25, issue 3, 212 pages

Abstract: Let u ≥ 0 be technical inefficiency, let z be a set of variables that affect u, and let δ be the parameters of this relationship. The model satisfies the scaling property if u(z, δ) can be written as a scaling function h(z, δ) times a random variable u* that does not depend on z. This property implies that changes in z affect the scale but not the shape of u(z,δ). This paper reviews the existing literature and identifies models that do and do not have the scaling property. It also discusses practical advantages of the scaling property. The paper shows how to test the hypothesis of scaling, and other interesting hypotheses, in the context of the model of Wang, Journal of Productivity Analysis, 2002. Finally, two empirical examples are given. Copyright Springer Science+Business Media, LLC 2006

Keywords: Stochastic frontier model; Scaling property; Technical inefficiency; C12; C31; C52 (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (130)

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Working Paper: Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics (2005)
Working Paper: Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics (2004)
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DOI: 10.1007/s11123-006-7639-3

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