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Master thesis . 2020
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Master thesis . 2020
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Metodologija bihevioralne ekonomije

Methods of Behavioral Economics
descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2020 Croatia Croatian Publisher:University of Rijeka. UNIVERSITY OF RIJEKA, FACULTY OF ECONOMICS AND BUSINESS
Authors: Pirc, Darjan;

Metodologija bihevioralne ekonomije

Abstract

Bihevioralna ekonomija je novo područje ekonomije. Potječe od Bihevioralne znanosti koja analizira ponašanje ljudi i životinja. Javlja se sredinom prošloga stoljeća razvojem kognitivne znanosti. Temelji se na kombinaciji ekonomskih analiza i istraživanja na području bihevioralne i kognitivne psihologije. Nastala je kao odgovor na neoklasičnu ekonomsku teoriju i teoriju racionalnog izbora. Najviše su njenom razvoju pridonijeli psiholozi Amos Tversky i Daniel Kahneman sa radom Prospect Theory. Oni su u svojim eksperimentima objasnili da postoje dva kognitivna sustava koja utječu na donošenje odluka, prvi je brzi automatski Sustav 1, a drugi je spori i lijeni Sustav 2. Navode i heuristike pomoću kojih se ljudima olakšava donošenje odluka. Teorijom vjerojatnosti opovrgavaju neoklasičnu teoriju očekivane korisnosti. Dokazali su da gubici psihološki jače utječu na ljude od dobitaka, te zbog toga ljudi imaju averziju prema gubicima. Smatra se da ljudi nisu racionalna bića, već da su potpuno iracionalni u donošenju odluka.

Country
Croatia
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Keywords

Društvene znanosti, Prospect Theory, kognitivni sustavi 1 i 2, heuristike, Economics, teorija racionalnog izbora, Social Sciences, odbojnost prema gubitku, bihevioralna znanost, neoklasična ekonomija, Ekonomija, Bihevioralna ekonomija, bihevioralna znanost, kognitivna psihologija, neoklasična ekonomija, teorija racionalnog izbora, Daniel Kahneman, Amos Tversky, Prospect Theory, kognitivni sustavi 1 i 2, heuristike, odbojnost prema gubitku, iracionalnost, Daniel Kahneman, iracionalnost, bihevioralna ekonomija, kognitivna psihologija, Amos Tversky

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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!
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