Stationary Points for Parametric Stochastic Frontier Models

William Horrace and Ian A. Wright
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Ian A. Wright: Department of Economics, Northeastern University

No 196, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: The results of Waldman (1982) on the Normal-Half Normal stochastic frontier model are generalized using the theory of the Dirac delta (Dirac, 1930), and distribution-free conditions are established to ensure a stationary point in the likelihood as the variance of the inefficiency distribution goes to zero. Stability of the stationary point and "wrong skew" results are derived or simulated for common parametric assumptions on the model. Identification is discussed.

Keywords: Neighborhood Effects; Crime; Academic Performance; Racial Disparities; Educational Outcomes (search for similar items in EconPapers)
JEL-codes: C21 D24 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2016-11
New Economics Papers: this item is included in nep-ecm and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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https://surface.syr.edu/cpr/228/ (application/pdf)

Related works:
Journal Article: Stationary Points for Parametric Stochastic Frontier Models (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:max:cprwps:196

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