Stochastic Frontiers and Asymmetric Information Models
This article is an attempt to shed light on the specification and identification of inefficiency in stochastic frontiers. We consider the case of a regulated firm or industry. Applying a simple principal-agent framework that accounts for informational asymmetries to this context, we derive the associated production and cost frontiers. Noticeably this approach yields a decomposition of inefficiency into two components: The first component is a pure random term while the second component depends on the unobservable actions taken by the agent (the firm). This result provides a theoretical foundation to the usual specification applied in the literature on stochastic frontiers. An application to a panel data set of French urban transport networks serves as an illustration.
|Date of creation:||2002|
|Date of revision:|
|Publication status:||Published in Journal of Productivity Analysis, Springer Verlag, 2002, 18, pp.145-159|
|Note:||View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00622849|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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89-18, C.V. Starr Center for Applied Economics, New York University.
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