BUSINESS INFORM №8-2014

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Section: Economic statistics
UDC 519.2:339.133
Kaplenko H. V.
The Probabilistic Nature of Forecasting of Consumer Demand Based on Continuous Monitoring (p. 228 - 232)
The starting point of the article is the recognition of the crisis in the theory and practice of economic forecasting. In this context the position described in the book by John K. Galbraith, "Economics of Innocent Fraud" was criticized to cater for the rejection of the development of economic forecasts, and show the need to improve its theory. Next attention is focused on one of these problems – the study of the problem of the possibility of using probabilistic and statistical (random) estimates for the development of forecasts of consumer demand based on continuous monitoring. In connection with this a historical and comparative analysis of concepts on using probabilistic-statistical approach to economic forecasting based on the modeling of data of continuous observation was made. On this basis, it was concluded that the construction of such data on econometric forecasts of consumer demand should be based on the logic-algebraic rather than probabilistic and statistical approach.
Keywords: probabilistic and statistical approach, the probability sample, population data, the logic-algebraic approach, evaluation, customer demand, forecasting, continuous monitoring
Bibl.: 18.

Kaplenko Halyna V. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Economics and Management, Ivan Franko National University of Lviv (1 Unіversytetska Str., Lvіv, 79001, Ukraine)
Email: [email protected]

Article is written in Russian
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Reference to this article:
Kaplenko, Halyna V. (2014) “The Probabilistic Nature of Forecasting of Consumer Demand Based on Continuous Monitoring.” Business Inform 8:228–232.

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