UID:
almafu_9960118592302883
Umfang:
1 online resource (xviii, 241 pages) :
,
digital, PDF file(s).
Ausgabe:
First edition.
ISBN:
1-108-24398-3
,
1-108-24569-2
,
1-108-22727-9
Inhalt:
Edited by several of the leading figures in the field, this is the first book to provide a state-of-the-art, accessibly written methodological introduction to the tools and techniques of agent-based modelling. Using these building blocks, readers will learn how to design, simulate, and validate agent-based models in economics.
Anmerkung:
Title from publisher's bibliographic system (viewed on 12 Mar 2018).
,
Cover -- Half-title -- Title page -- Copyright information -- Dedication -- Epigraph -- Table of contents -- List of Figures -- List of Tables -- List of Contributors -- Preface -- 1 Introduction -- 1.1 Hard Times for Dr Pangloss -- 1.2 The Complexity View -- 1.3 Heterogeneity in a Neoclassical World -- 1.4 Agent-Based Models (ABMs) -- 1.5 Plan of the Book -- 2 Agent-Based Computational Economics: What, Why, When -- 2.1 Introduction -- 2.2 Features of Agent-Based Models -- 2.2.1 Scope of Agent-Based Models -- 2.2.2 The Whole and Its Parts -- 2.2.3 The Dual Problem of the Micro-Macro Relationship -- 2.2.4 Adaptive vs. Rational Expectations -- 2.2.5 Additional Features of Agent-Based Models -- 2.3 The Development of ACE -- 2.3.1 Evolutionary Roots -- 2.3.2 The Santa Fe Perspective: The Economy as an Evolving Complex System -- 2.3.3 AB Models as Dynamic Microsimulations -- 2.3.4 The Experimental Machine -- 2.4 Why Agents -- 2.5 An Ante Litteram Agent-Based Model: Thomas Schelling's Segregation Model -- 2.6 Conclusions -- 3 Agent-Based Models as Recursive Systems -- 3.1 Introduction -- 3.2 Discrete-Event vs. Continuous Simulations and the Management of Time -- 3.3 The Structure of an AB Model -- 3.4 Obtaining Results in AB Models -- 4 Rationality, Behavior, and Expectations -- 4.1 Introduction -- 4.2 Certainty -- 4.3 Uncertainty -- 4.3.1 Risk Neutrality -- 4.3.2 Risk Aversion -- 4.3.3 Optimal Choice in a Multi-Period Setting -- 4.4 Adaptation in Expectation Formation -- 4.5 Riding at Full Gallop through the History of Macroeconomics -- 4.5.1 The Neoclassical-Keynesian Synthesis -- 4.5.2 Expectations Enter the Scene -- 4.5.3 Adaptive Expectations -- 4.5.4 Rational Expectations -- 4.5.5 The New Neoclassical Synthesis -- 4.6 The Limits of Rational Expectations -- 4.7 Heterogeneous Expectations: A Very Simple Introduction.
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4.7.1 Heterogeneous-Biased Expectations -- 4.7.2 A Convenient Special Case: Two Types -- 4.7.3 Heterogeneous Adaptive Expectations -- 4.8 Heterogeneous Expectations in ABMs -- 4.9 Conclusions -- 5 Agents' Behavior and Learning -- 5.1 Introduction -- 5.2 Full and Bounded Rationality -- 5.2.1 Empirical Microfoundations of Individual Behavior -- 5.2.2 Agents' Behavior and Heuristics -- 5.3 Learning -- 5.3.1 Individual Learning 1: Statistical Learning -- 5.3.2 Individual Learning 2: Fitness Learning -- 5.3.3 Social Learning -- 5.3.4 Individual vs. Social Learning -- 5.4 Conclusions -- 6 Interaction -- 6.1 Introduction -- 6.2 Modeling Interactions -- 6.2.1 Local Exogenous Interaction -- 6.2.2 Endogenous Interaction -- 6.3 Networks: Basic Concepts and Properties -- 6.4 Static and Dynamic Networks -- 6.4.1 Static Networks -- 6.4.2 Dynamic Networks -- 6.5 Conclusions -- 7 The Agent-Based Experiment -- 7.1 Introduction -- 7.2 Long-Run and Transient Equilibria -- 7.2.1 Definitions -- 7.2.2 Uniqueness and Multiplicity of Equilibria -- 7.2.3 Implications of Stationarity and Ergodicity -- 7.3 Sensitivity Analyis of Model Output -- 7.3.1 Settings for SA -- 7.3.2 Strategies for SA -- 7.3.3 SA and AB Modelling: Some Applications -- 7.3.4 A Simple Example: SA on a Bass Diffusion Model with Local Interaction -- 7.4 Conclusions -- 8 Empirical Validation of Agent-Based Models -- 8.1 Introduction -- 8.2 The Methodological Basis of Empirical Validation -- 8.2.1 Tractability vs. Accuracy -- 8.2.2 Instrumentalism vs. Realism -- 8.2.3 Pluralism vs. Apriorism -- 8.2.4 The Identification Problem -- 8.3 Input Validation of Agent-Based Models -- 8.4 Output Validation of Agent-Based Models -- 8.5 Qualitative Output Validation Technqiues -- 8.5.1 The Indirect Calibration Approach -- 8.5.2 The History-Friendly Approach -- 9 Estimation of Agent-Based Models -- 9.1 Introduction.
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9.2 Taking the Model to the Data -- 9.2.1 Comparing Apples with Apples -- 9.2.2 Preliminary Tests -- 9.2.3 Simulation-Based Estimation -- 9.2.4 Consistency -- 9.2.5 Calibration vs. Estimation -- 9.3 Simulated Minimum Distance -- 9.3.1 The Method of Simulated Moments -- 9.3.2 Ergodicity and an Application to a Simple AB Model -- 9.4 Bayesian Estimation -- 9.4.1 Estimating the Likelihood -- 9.4.2 Sampling the Posterior Distribution -- 9.4.3 Approximate Bayesian Computation -- 9.4.4 ABC Estimation of the Segregation Model -- 9.5 Conclusions -- 10 Epilogue -- Bibliography -- Index.
Weitere Ausg.:
ISBN 1-108-41499-0
Sprache:
Englisch
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