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Introduction to Agent-Based Economics [Kõva köide]

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Edited by (Polytechnic University of Marche, Ancona, Italy), Edited by (Università Politecnica delle Marche, Ancona, Italy), Edited by (Università Politecnica delle Marche, Anacona, Italy)
  • Formaat: Hardback, 274 pages, kõrgus x laius: 229x152 mm, kaal: 590 g
  • Ilmumisaeg: 05-Aug-2017
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0128038349
  • ISBN-13: 9780128038345
Teised raamatud teemal:
Introduction to Agent-Based EconomicsSuurem pilt
  • Formaat: Hardback, 274 pages, kõrgus x laius: 229x152 mm, kaal: 590 g
  • Ilmumisaeg: 05-Aug-2017
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0128038349
  • ISBN-13: 9780128038345
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780128038345.html
Märksõnad:

Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE). It illustrates ACE’s theoretical foundations, which are rooted in the application of the concept of complexity to the social sciences, and it depicts its growth and development from a non-linear out-of-equilibrium approach to a state-of-the-art agent-based macroeconomics. The book helps readers gain a better understanding of the limits and perspectives of the ACE models and their capacity to reproduce economic phenomena and empirical patterns.

  • Reviews the literature of agent-based computational economics
  • Analyzes approaches to agents’ expectations
  • Covers one of the few large macroeconomic agent-based models, the Modellaccio
  • Illustrates both analytical and computational methodologies for producing tractable solutions of macro ACE models
  • Describes diffusion and amplification mechanisms
  • Depicts macroeconomic experiments related to ACE implementations

Arvustused

"Since the seminal  Santa Fe conference on the Economy as an 'Evolving Complex System' in 1987, the science of complexity has made tremendous progress. The time is ripe for Economics to fully embrace these ideas and methods, and come up with plausible alternatives to mainstream models, with extreme fluctuations and crises as cases in point. This book offers an insightful overview of the recent developments in that direction." --Jean-Philippe Bouchaud, Capital Fund Management

"For a deep understanding of how a decentralized economy coordinates the economic activities of diverse actors, for better or worse, read this book by pioneers of agent-based economics.  It will take you far beyond what you can learn from traditional equilibrium analysis." --Peter Howitt, Brown University

"Introduction to Agent-Based Economics is an excellent introduction to agent-based computational economics. A must-read for every student and scholar who wants to get started in the field." --Philipp Harting, Bielefeld University

"The book takes a fascinating view on an economy as an adaptive complex system. In contrast to the neoclassical paradigm, systemic risks such as financial crisis and other types of domino effects can be just a natural emergent outcome of interactions of heterogeneous adaptive agents and their evolutionary dynamics. Within a rigid world of economic discipline, Introduction to Agent-Based Economics offers a fresh view on economic reality and its resilience against shocks." --Tatiana Filatova, University of Twente



"A very useful guide for those who want to understand what agent-based models in economics are, and why they are becoming more and more popular."  --Andrea Teglio, Universitat Jaume I"The book provides a comprehensive access to agent-based computational economics.  It gives readers clear guidance on how agent-based macroeconomic models can be rigorously built with the aid of the empirical-based and network-based analytics." --Shu-Heng Chen, National Chengchi University

"This new book by the 'Ancona Group' of agent based macroeconomists led by Mauro Gallegati is an excellent addition to the rapidly growing literature on agent based macroeconomics. The book nicely blends chapters that may be used to teach the basics of agent based macroeconomics to graduate students with chapters that present advances in the area, from the experimental microfoundations of  behavioural rules to the econometrics of agent based models, and from network models to the development of early warning indicators. The book therefore is required reading for those in the profession and graduate schools who want to be acquainted with this new and exciting field." --Domenico Delli Gatti, Università Cattolica del Sacro Cuore 

"The editors of this book are among the world's leaders in research on agent-based modeling of economic dynamics. This new volume presents the cutting edge of this research agenda with papers covering a range of microeconomic, macroeconomic, and financial issues, including such important matters as income distribution dynamics.  This is not to be missed by anyone seriously interested in agent-based modeling." --J. Barkley Rosser, Jr., James Madison University

Muu info

This informative guide provides a comprehensive introduction to agent-based computational economics (ACE), including the limits and various perspectives of ACE models
Contributors xi
Foreword xiii
Part I Introduction
1 An Introduction to Agent-Based Computational Macroeconomics
Mauro Gallegati
Antonio Palestrini
Alberto Russo
References
10(5)
Part II Macroeconomic Agent-Based Computational Economics
2 Decentralized Interacting Macroeconomics and the Agent-Based "Modellaccio"
Alessandro Caiani
Eugenio Caverzasi
2.1 Agent-Based Macroeconomics: An Introduction
15(7)
2.1.1 Roots and Characteristics of an Innovative Approach
15(3)
2.1.2 Agent-Based Macromodels: An Overview of the Literature
18(4)
2.2 The "Modellaccio"
22(36)
2.2.1 An Agent-Based Stock-Flow Consistent Paradigm?
22(7)
2.2.2 The JMAB Tool-Suite
29(2)
2.2.3 Object-Oriented Programming and Dependency Injection
31(3)
2.2.4 Event-Based Approach
34(2)
2.2.5 Stock Matrix Approach to Agents' Balance Sheets
36(2)
2.2.6 Fully Scalable View of Model Dynamics
38(2)
2.2.7 The AB "Modellaccio"
40(2)
2.2.8 Agents' Behaviors
42(3)
2.2.9 Calibration Procedure
45(1)
2.2.10 Analysis and Validation of Results
46(5)
2.2.11 Robustness Checks and Sensitivity Experiments
51(2)
2.2.12 An Application to Study Inequality and Economic Growth
53(5)
2.3 Conclusions and Challenges Ahead
58(7)
References
60(5)
3 AD-AS Representation of Macroeconomic Emergent Properties
Luca Riccetti
Alberto Russo
Mauro Gallegati
3.1 Introduction
65(1)
3.2 The Standard AD-AS Model
65(3)
3.3 An Agent-Based Macro Model
68(8)
3.3.1 Timing and Interaction Mechanisms
69(1)
3.3.2 Credit Market
70(1)
3.3.3 Labor Market
71(1)
3.3.4 Goods Market
72(1)
3.3.5 Deposit Market
72(1)
3.3.6 Wealth Dynamics
73(1)
3.3.6.1 Firms
73(1)
3.3.6.2 Banks
74(1)
3.3.6.3 Households
75(1)
3.3.7 Government and Central Bank
75(1)
3.3.8 Simulation Results
76(1)
3.4 Aggregate Demand
76(5)
3.4.1 Microfounded AD
77(3)
3.4.2 AD Curve and Aggregation Effects
80(1)
3.5 Aggregate Supply
81(2)
3.6 AD-AS (Dis)equilibrium
83(4)
References
85(2)
4 Heterogeneity in Macroeconomics: DSGE and Agent-Based Model Approach
Federico Giri
4.1 Introduction
87(2)
4.2 The Representative Agent Paradigm
89(2)
4.3 Macroeconomics and Heterogeneity
91(8)
4.3.1 The Optimizing Heterogeneous Agents Framework
91(3)
4.3.2 Dealing With Heterogeneity Within the Representative Agent Framework: The Case of Financial Markets
94(5)
4.4 The Agent-Based Model Proposal
99(1)
4.5 Conclusion
100(5)
References
101(4)
5 Early Warning Indicator for Crises in an Agent-Based Macromodel
Ermanno Catullo
5.1 Introduction
105(1)
5.2 The Model
106(8)
5.2.1 Agents
107(1)
5.2.1.1 Households
107(2)
5.2.1.2 Firms
109(1)
5.2.1.3 Banks
110(1)
5.2.1.4 Central Bank
111(1)
5.2.1.5 Government
112(1)
5.2.2 Interaction Structure
113(1)
5.2.2.1 Asset Ownership
113(1)
5.2.2.2 Good Market
113(1)
5.2.2.3 Labor Market
113(1)
5.2.2.4 Credit Market
114(1)
5.2.2.5 Bond Market
114(1)
5.3 Simulation Results
114(9)
5.3.1 Macroeconomic Dynamics
114(1)
5.3.2 Early Warning Indicator for Crisis
114(3)
5.3.3 Varying Credit Supply
117(6)
5.4 Conclusions
123(4)
References
123(4)
Part III Macroeconomic ABM: Perspectives and Implications
6 Expectation Models in Agent-Based Computational Economics
Antonio Palestrini
6.1 Introduction
127(2)
6.2 Rules Come From Expectations, and Rules Is What You Really Want
129(3)
6.3 The Switching of Rules
132(2)
6.4 The Switching of Strategies
134(2)
6.5 A Simple ABM Comparing Biased and Unbiased Adaptive Agents With the Perfectly Rational Solution
136(4)
6.6 Conclusions
140(3)
References
141(2)
7 Experimental Economics for ABM Validation
Annarita Colasante
7.1 Introduction
143(1)
7.2 Behavioral and Experimental Economics
144(3)
7.3 The Links Between Experimental Economics and the ABM Approach
147(3)
7.4 Applications: Calibration and Validation of an ABM
150(9)
7.4.1 Example #1: Calibration Procedure
150(3)
7.4.2 Example #2: Validation Procedure
153(2)
7.4.3 Example #3: Validation and Calibration Procedure
155(4)
7.5 Conclusions
159(4)
References
160(3)
8 Econometric Methods for Agent-Based Models
Leonardo Bargigli
8.1 Introduction
163(1)
8.2 Literature Review
163(11)
8.2.1 Estimation of Agent-Based Models
164(4)
8.2.2 Estimation, Validation, Calibration
168(2)
8.2.3 Efficient Sampling
170(1)
8.2.4 Identification, Metamodeling, and Sensitivity Analysis
171(3)
8.3 Estimation of a Network Model of Credit Market Interaction
174(3)
8.3.1 Links
175(1)
8.3.2 Loans
176(1)
8.4 Metamodeling of a Financial Accelerator ABM
177(7)
8.4.1 Model Description
178(2)
8.4.2 Simulation Setting
180(1)
8.4.3 Selection of Metamodels and Sensitivity Analysis
181(3)
8.5 Summary
184(7)
Acknowledgments
187(1)
References
187(4)
9 Modeling the Joint Distribution of Income and Consumption in Italy: A Copula-Based Approach With κ-Generalized Margins
Fabio Clementi
Lisa Gianmoena
9.1 Introduction
191(1)
9.2 Data and Methodology
192(16)
9.2.1 The Italian Personal-Income and Consumption Data
192(5)
9.2.2 The κ-Generalized Distribution for Margins
197(5)
9.2.3 The Symmetrized Joe--Clayton Copula
202(6)
9.3 Results
208(10)
9.3.1 Parametric Marginal Distributions of Income and Consumption
208(2)
9.3.2 The Joint Distribution of Income and Consumption
210(8)
9.4 Conclusions and Directions for Future Research
218(11)
Appendix 9.A The Propensity to Consume in Italy
219(5)
References
224(5)
10 A Networked Economy: A Survey on the Effect of Interaction in Credit Markets
Ruggero Grilli
Giulia Iori
Niccolo Stamboglis
Gabriele Tedeschi
10.1 Introduction
229(1)
10.2 Theoretical Models of Credit Markets
230(3)
10.3 Network Models of Financial Stability
233(5)
10.3.1 Theoretical Network Models
234(3)
10.3.2 Empirical Network Analysis
237(1)
10.4 Simulation Techniques
238(8)
10.4.1 Computational Approaches
238(2)
10.4.2 Agent-Based Models of the Credit Market
240(6)
10.5 Concluding Remarks
246(7)
References
248(5)
Index 253
Mauro Gallegati is Professor of Economics at the Polytechnic University of Marche, Ancona. He earned his Ph.D. in Economics at the University of Ancona and has been visiting professor in several universities, including Stanford, MIT, and Columbia. His research includes business fluctuations, nonlinear dynamics, models of financial fragility and heterogeneous interacting agents. Mauro Gallegati is well known for his widely-cited work with Joseph E. Stiglitz, developing a theory of asymmetric information with heterogeneous agents. He has published papers in major journals in economics, economic history and history of economic analysis, nonlinear mathematics, complexity, and econophysics. Antonio Palestrini is an Associate Professor of Economics at the Università Politecnica delle Marche, Ancona (Italy) where he obtained his Ph.D. in Economics. He was a vising post-doc at the University of Madison Wisconsin (1999); a visiting scholar at the Department of Economics University of Technology, Sidney (AUS) where he collaborated with Carl Chiarella (2001), and a visiting scholar at the Brookings Institute, Washington DC (USA) where he collaborated with Robert Axtell (2006). His main research interests are business cycles, industrial dynamics, financial fragility, and mathematical finance. He published in international journals such as "Journal of Economic Behavior and Organization," "Ecological Economics," "Macroeconomic Dynamics," "Journal of Economic Dynamics and Control," "Economics Letters," and "Information Sciences." Alberto Russo is Assistant Professor in Economics at the Università Politecnica delle Marche, Ancona (Italy). He obtained his Ph.D. in Economics from the University of Pisa. His research interests include agent-based macroeconomics, financial fragility and systemic risk, social classes and distribution, and experimental economics. He published in recognized journals such as JEDC, JEBO, and JEIC. He is Associate Editor of "Complexity Economics." He is also a member of the INET task force on macroeconomic externalities led by J.E. Stiglitz.