Drawing on different disciplines: macroeconomic agent-based models

被引:35
作者
Haldane, Andrew G. [1 ]
Turrell, Arthur E. [1 ]
机构
[1] Bank England, London, England
关键词
Macroeconomics; Modelling; Agent-based; OUTPUT GROWTH; CONSUMPTION; ECONOMICS; EXPECTATIONS; DYNAMICS; INCOME; DISTRIBUTIONS; COUNTRIES; PATTERNS; DURATION;
D O I
10.1007/s00191-018-0557-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Macroeconomic modelling has been under intense scrutiny since the Great Financial Crisis, when serious shortcomings were exposed in the methodology used to understand the economy as a whole. Criticism has been levelled at the assumptions employed in the dominant models, particularly that economic agents are homogenous and optimising and that the economy is equilibrating. In a related paper (Haldane and Turrell Oxford Rev Econ Polic 34(1-2):219-251 2018), we argue that an interdisciplinary approach to modelling in macroeconomics is beneficial. Here we focus on what one such approach - agent-based modelling, which has been extensively used across a wide range of disciplines - could do for macroeconomics. Agent-based models are complementary to existing approaches to macroeconomics and are particularly well-suited to answering questions where complexity, heterogeneity, networks, and heuristics play an important role.
引用
收藏
页码:39 / 66
页数:28
相关论文
共 173 条
  • [21] [Anonymous], REV
  • [22] [Anonymous], TECH REP
  • [23] [Anonymous], 2007, EC DEP WORKING PAPER
  • [24] [Anonymous], J EC BEHAV ORG
  • [25] [Anonymous], J EC DYN CONTROL
  • [26] [Anonymous], REV
  • [27] [Anonymous], 2012, RISK UNCERTAINTY PRO
  • [28] [Anonymous], 2016, 619 BANK ENGL
  • [29] [Anonymous], 2008, AGENT BASED MODEL MI
  • [30] [Anonymous], PHYS REV LETT