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On Efficient Points of a Stochastic Production Correspondence

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Production Theory

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 99))

Abstract

In his book “Theory of Cost and production Functions” Shephard has introduced the concept of production correspondences. Such a correspondence assigns to each combination of inputs the possible outputs. Of course, this connection is not always deterministic. For example, the weather or the development of interest have great influence in some sectors of economy. Hence we shall try in the following to stochasticize this concept of production correspondence.1)

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References

  1. Bol, G.: Stetigkeit und Effizienz bei mengenwertigen Produktionsfunktionen, Mathematical Systems in Economics, Vol. 7, 1973, Anton Hain Verlag Meisenheim.

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  2. Hildenbrand, W.: Core and Equilibria in a Large Economy, to appear.

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  3. Krug, E.: Stochastische Produktionskorrespondenzen VI. Oberwolfach-Tagung über Operations Research, to appear in OR-Verfahren, Anton Hain Verlag, Meisenheim.

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  4. Opitz, O.: Zum technischen Optimierungsproblem des Unternehmers, Schweizerische Zeitschrift für Volkswirtschaft und Statistik, 106.. Jahrgang (3), 1970, pp. 369–382.

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  5. Shephard, R.W.: Theory of Cost and Production Functions, Princeton, New Jersey 1970.

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  6. Shephard, R.W.: The Notion of a Production Function Zeitschrift für Unternehmensforschung 11, 1967, pp. 209–232.

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  7. Shephard, R.W.: Semi — Homogeneous Production Functions and Scaling of Production. This volume.

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© 1974 Springer-Verlag Berlin · Heidelberg

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Henn, R., Krug, E. (1974). On Efficient Points of a Stochastic Production Correspondence. In: Eichhorn, W., Henn, R., Opitz, O., Shephard, R.W. (eds) Production Theory. Lecture Notes in Economics and Mathematical Systems, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80864-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-80864-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-06890-7

  • Online ISBN: 978-3-642-80864-7

  • eBook Packages: Springer Book Archive

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