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SOCIAL AND ECONOMIC SYSTEMS MANAGEMENT
Probabilistic approach to determining production functions
A. V. Mikheev Kazan National Research Technological University,
Kazan, Republic of Tatarstan, Russian Federation
Abstract:
The article considers a probabilistic method for determining production functions.
The method consists in finding the expected value of the function that determines the economic and
mathematical principle of production. It is assumed that the factors of production and/or their specific values included in this function are random variables. It is shown that depending on the principle of production such averaging gives different probabilistic classes of production functions.
Functions that are elements of the same class differ from each other in the probability distribution
of the relations of production factors to their specific values. Two probabilistic classes of production functions are constructed. The first class is generated by the Leontief production principle, the
second – by generalization of this principle for the case of partially or completely fungible factors
of production. There are established the laws of probability distribution and the conditions, under
which the linear combination of the AK-model and the Cobb-Douglas production function, as well
as the CES production function, are elements of the class of Leontief production functions. It is
shown that the linear production function belongs to the class of generalized Leontief production
functions. The probability density functions of the products number for these two classes of production functions are found.
Keywords:
production function, factors of production, Leontief production function, Cobb-Douglas production function, AK-model of production function, CES production function, linear production function, probability density function, expected value.
Received: 22.06.2021
Citation:
A. V. Mikheev, “Probabilistic approach to determining production functions”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2021, no. 4, 82–94
Linking options:
https://www.mathnet.ru/eng/vagtu696 https://www.mathnet.ru/eng/vagtu/y2021/i4/p82
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Abstract page: | 112 | Full-text PDF : | 28 | References: | 29 |
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