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Loss Distance Functions and Profit Function: General Duality Results

Juan Aparicio, Fernando Borras (), Jesus Pastor and José Zofío
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Fernando Borras: Department of Statistics, Mathematics and Computer Science, University Miguel Hernandez of Elche.

No 2015/06, Working Papers in Economic Theory from Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History)

Abstract: The concept of loss distance functions is introduced and compared with other functional representations of the technology including the Hölder metric distance functions (Briec and Lesourd (1999)), the directional distance functions due to Chambers et al. (1996, 1998), and the Shephard’s input and output distance functions as particular cases of the directional distance functions. Specifically, it is shown that, under appropriate normalization conditions defined over the (intrinsic) input and output prices, the loss distance functions encompass a wide class of well-known and much less known distance functions. Additionally, a dual correspondence is developed between the loss distance functions and the profit function, and it is shown that all previous dual connections appeared in the literature are special cases of this general correspondence. Finally, we obtain several interesting results assuming differentiability.

Keywords: Loss distance functions; directional distance functions; Hölder distance functions; duality; profit function. (search for similar items in EconPapers)
JEL-codes: C61 D01 D21 L25 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2015-11
New Economics Papers: this item is included in nep-eff
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Citations: View citations in EconPapers (1)

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Chapter: Loss Distance Functions and Profit Function: General Duality Results (2016)
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