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Возможности теории ожидаемой полезности в описании потребительского выбора

Возможности теории ожидаемой полезности в описании потребительского выбора

Abstract

Рассмотрены базовые взгляды на неопределенность, приведена классификация ситуаций неопределенности. Выявлены истоки концепции ожиданий в теории Дж.М. Кейнса. Приведены основные черты механизма формирования ожидаемой полезности. Описана эволюция взглядов на потребительские ожидания, произведен критический анализ их возможностей в описании потребительского поведения. Классифицированы случаи верификации теории субъективной ожидаемой полезности как наиболее применимой к микроэкономическому выбору. Сделан вывод о невозможности описания поведения потребителей с помощью теории ожидаемой полезности.

Basic concepts of uncertainty are considered. A classification of uncertainty is listed. The author has revealed the main features of expected utility formation. The article describes the evolution of views on consumer expectations and introduces a critical analysis of their potential in the description of consumer behavior. Some cases of verification of Subjective Expected Utility Model are mentioned. The conclusion is made that the Expected Utility Theory does not fit as an appropriate research tool of consumer choice and consumer behavior.

Keywords

ТЕОРИЯ ОЖИДАЕМОЙ ПОЛЕЗНОСТИ, НЕОПРЕДЕЛЕННОСТЬ, ПОТРЕБИТЕЛЬСКОЕ ПОВЕДЕНИЕ, РАЦИОНАЛЬНЫЕ ОЖИДАНИЯ, АДАПТИВНЫЕ ОЖИДАНИЯ, СУБЪЕКТИВНЫЕ ОЖИДАНИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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