Narrative analysis in economics as climbing complexity

被引：7

作者：

Tanbovtsev, Vitaly L. ^{[1
]}

机构：

[1] Lomonosov Moscow State Univ, Moscow, Russia

来源：

VOPROSY EKONOMIKI | 2020年 / 04期

关键词：

complexity; economics; subjective information; narrative analysis; agent-based models; KNOWLEDGE; IMPACT; MODEL; MICROFOUNDATIONS; DETERMINANTS; NEUROSCIENCE; PARADIGM; NEUROECONOMICS; ORGANIZATIONS; AUTOMATICITY;

D O I：

10.32609/0042-8736-2020-4-5-30

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Two turns in economics during last decades are analyzed - complexity turn, and information turn, and the narrative analysis role for these turns realization is discussed. Basic framework of narrative analysis is described, and it is shown that its efficacy is limited by groups of individuals which have resources that give them possibilities to treat the narrative's plot as a feasible alternative in decision-making situation. It is grounded that now agent-based models are the effective instrument for theoretical and empirical research under turns to complexity or information alike.

引用

页码：5 / 30

页数：26

共 186 条

[1] The role of rational choice and narrative action theories in sociological theory -: The legacy of Coleman's Foundations [J].