Sentiment-driven business cycle dynamics: An elementary macroeconomic model with animal spirits

被引：9

作者：

Gardini, Laura ^{[1
]}

Radi, Davide ^{[2
,3
]}

Schmitt, Noemi ^{[4
]}

Sushko, Iryna ^{[5
,6
]}

Westerhoff, Frank ^{[4
,7
]}

机构：

[1] Univ Urbino Carlo Bo, Dept Econ Soc & Polit, Urbino, Italy

[2] Univ Cattolica Sacro Cuore, DiMSEFA, Milan, Italy

[3] VSB Tech Univ Ostrava, Dept Finance, Ostrava, Czech Republic

[4] Univ Bamberg, Dept Econ, Bamberg, Germany

[5] NASU, Inst Math, Kiev, Ukraine

[6] Kyiv Sch Econ, Kiev, Ukraine

[7] Univ Bamberg, Dept Econ, Feldkirchenstr 21, D-96045 Bamberg, Germany

来源：

JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION | 2023年 / 210卷

关键词：

Macroeconomics; Business cycle dynamics; Investor sentiment; Animal spirits; Mathematical economics; Nonlinear dynamical systems; TRADE CYCLE; HETEROGENEOUS EXPECTATIONS; FLOOR; STOCK; BAD;

D O I：

10.1016/j.jebo.2023.04.012

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We propose an elementary macroeconomic model with animal spirits in which aggregate investment expenditure depends on firms' sentiment. Firms display one of three sentiment states. When national income increases (decreases) strongly, firms are optimistic (pessimistic) and aggregate investment expenditure is high (low). Otherwise, firms are neutral and aggregate investment expenditure is normal. A rigorous mathematical analysis of our elementary macroeconomic model sheds new light on how animal spirits may contribute to fluctuations in economic activity. In particular, we show that a bidirectional feedback process between national income and investor sentiment may create endogenous business cycles that coevolve with waves of optimism and pessimism.(c) 2023 Elsevier B.V. All rights reserved.

引用

页码：342 / 359

页数：18

共 39 条

[31] Using qualitative comparative analysis and system dynamics for theory-driven business model research
Taeuscher, Karl
[J]. STRATEGIC ORGANIZATION, 2018, 16 (04) : 470 - 481
[32] System Dynamics as a Tool for Data Driven Business Model Design in the Context of Autonomous Ride Hailing
von Peinen, Alexander
Boehmer, Annette Isabel
Lindemann, Udo
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2018,
[33] Endogenous Business Cycle Dynamics within Metzler's Inventory Model: Adding an Inventory Floor
Sushko, Irina
Wegener, Michael
Westerhoff, Frank
Zaklan, Georg
[J]. NONLINEAR DYNAMICS PSYCHOLOGY AND LIFE SCIENCES, 2009, 13 (02) : 223 - 233
[34] Dynamics of a business cycle model with two types of governmental expenditures: the role of border collision bifurcations
Mauro Gallegati
Laura Gardini
Iryna Sushko
[J]. Decisions in Economics and Finance, 2021, 44 : 613 - 639
[35] Dynamics of a business cycle model with two types of governmental expenditures: the role of border collision bifurcations
Gallegati, Mauro
Gardini, Laura
Sushko, Iryna
[J]. DECISIONS IN ECONOMICS AND FINANCE, 2021, 44 (02) : 613 - 639
[36] Business Cycle Dynamics of Economic Growth in the OECD Countries: Evidence from Markov-Switching Model
Singh, Tarlok
[J]. REVIEW OF ECONOMIC ANALYSIS, 2016, 8 (01): : 47 - 68
[37] On the comparative analysis of linear and nonlinear business cycle model: Effect on system dynamics, economy and policy making in general
Karim, Firdos
Chauhan, Sudipa
Dhar, Joydip
[J]. QUANTITATIVE FINANCE AND ECONOMICS, 2020, 4 (01): : 172 - 203
[38] Cell cycle model to describe animal cell size variation and lag between cell number and biomass dynamics
Nielsen, LK
Reid, S
Greenfield, PF
[J]. BIOTECHNOLOGY AND BIOENGINEERING, 1997, 56 (04) : 372 - 379
[39] Qualitative Dynamics and Numerical Evidences in a Business-cycle Model with Non-concave Production Function and Variable Population Growth Rate
Mammana, Cristiana
Michetti, Elisabetta
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014), 2015, 1648

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