Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design

被引:0
|
作者
Marco Raberto
Andrea Teglio
Silvano Cincotti
机构
[1] University of Genoa,Department of Biophysical and Electronic Engineering
来源
Computational Economics | 2008年 / 32卷
关键词
Agent-based computational economics; Monetary policy design; Financial markets and the macroeconomy; C63; E44; E52;
D O I
暂无
中图分类号
学科分类号
摘要
This article presents an agent-based integrated model of a real, financial, and monetary economy. The model is characterized by a monopolist firm that supplies a single homogeneous product in the goods market, hires workers in the labor market, and demands loans in the credit market; a trade union that sets the nominal wage; N heterogeneous households that buy the consumption good, provide the labor force, and trade the firm’s equity in the stock market; and a bank that lends money to the firm at an interest rate set according to a monetary policy strategy. The model is used to perform monetary policy experiments. A monetary policy rule which targets the gap between the current output and the potential output in the full employment case is investigated, studying the effects on the economy for different degrees of policy tightness. The monetary policy rule is compared to a random policy rule that conserves a similar structure. Results show that a tight monetary policy clearly over performs the random policy rule. Moreover, results corroborate the effectiveness of monetary policy in limiting inflation and increasing welfare.
引用
收藏
页码:147 / 162
页数:15
相关论文
共 50 条
  • [31] The effects of expectations-based monetary policy on international stock markets: An application of heterogeneous agent model
    Hung, Kuo-Che
    Ma, Tai
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2017, 47 : 70 - 87
  • [32] Estimation of a simple agent-based model of financial markets: An application to Australian stock and foreign exchange data
    Alfarano, Simone
    Lux, Thomas
    Wagner, Friedrich
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2006, 370 (01) : 38 - 42
  • [33] An economic agent-based model of coupled housing and land markets (CHALMS)
    Magliocca, Nicholas
    Safirova, Elena
    McConnell, Virginia
    Walls, Margaret
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2011, 35 (03) : 183 - 191
  • [34] Interactive estimation of agent-based financial markets models
    Ecemis, I
    Bonabeau, E
    Ashburn, T
    Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3, 2005, : 845 - 848
  • [35] Convex incentives in financial markets: an agent-based analysis
    Fabretti A.
    Gärling T.
    Herzel S.
    Holmen M.
    Decisions in Economics and Finance, 2017, 40 (1-2) : 375 - 395
  • [36] Agent-based financial markets: A review of the methodology and domain
    Todd, Andrew
    Beling, Peter
    Scherer, William
    Yang, Steve Y.
    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2016,
  • [37] A Behavioural Agent-Based Model for Housing Markets: Impact of Financial Shocks in the UK
    Gamal, Yahya
    Elsenbroich, Corinna
    Gilbert, Nigel
    Heppenstall, Alison
    Zia, Kashif
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2024, 27 (04):
  • [38] Instability of financial markets by optimizing investment strategies investigated by an agent-based model
    Mizuta, Takanobu
    Yagi, Isao
    Takashima, Kosei
    2022 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING AND ECONOMICS (CIFER), 2022,
  • [39] Behavioral agent-based framework for interacting financial markets
    Ezzat, Heba M.
    REVIEW OF ECONOMICS AND POLITICAL SCIENCE, 2020, 5 (02) : 94 - 115
  • [40] Active and passive learning in agent-based financial markets
    LeBaron B.
    Eastern Economic Journal, 2011, 37 (1) : 35 - 43