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Interactive Macroeconomics Corrado Di Guilmi (University of Technology, Sydney)

Interactive Macroeconomics von Corrado Di Guilmi (University of Technology, Sydney)

Interactive Macroeconomics Corrado Di Guilmi (University of Technology, Sydney)


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Zusammenfassung

This book discusses the statistical physics approach in economics and its application to macroeconomic modelling and inference. It offers a systematic treatment of concepts to create an alternative micro foundation framework for widespread adoption. The text offers mathematical and computational analysis to develop heterogeneous interacting agents.

Interactive Macroeconomics Zusammenfassung

Interactive Macroeconomics: Stochastic Aggregate Dynamics with Heterogeneous and Interacting Agents Corrado Di Guilmi (University of Technology, Sydney)

One of the major problems of macroeconomic theory is the way in which the people exchange goods in decentralized market economies. There are major disagreements among macroeconomists regarding tools to influence required outcomes. Since the mainstream efficient market theory fails to provide an internal coherent framework, there is a need for an alternative theory. The book provides an innovative approach for the analysis of agent based models, populated by the heterogeneous and interacting agents in the field of financial fragility. The text is divided in two parts; the first presents analytical developments of stochastic aggregation and macro-dynamics inference methods. The second part introduces macroeconomic models of financial fragility for complex systems populated by heterogeneous and interacting agents. The concepts of financial fragility and macroeconomic dynamics are explained in detail in separate chapters. The statistical physics approach is applied to explain theories of macroeconomic modelling and inference.

Über Corrado Di Guilmi (University of Technology, Sydney)

Corrado Di Guilmi earned his Ph.D. in Economics from Universita Politecnica delle Marche, Ancona, Italy in 2008. He is currently working as Senior Lecturer in the Economics Discipline Group of the University of Technology, Sydney. He is associate editor of the Review of Keynesian Economics and of Complexity Economics. He was visiting fellow at the Department of Economics of the University of Cambridge, the Department of Applied Mathematics of the Australia National University, the New School for Social Research in New York. His research interests include business cycle, agent-based modelling, nonlinear modelling applications in economics of complex system theory and Post-Keynesian economics. Mauro Gallegati is Professor of Advanced Macroeconomics at the Universita Politecnica delle Marche, Italy. He obtained his Ph.D. in Economics from the Universita degli Studi di Ancona, Italy in 1989. He has been visiting professor in several universities including Stanford University, Columbia University and Massachusetts Institute of Technology. His research includes business fluctuations, econophysics, nonlinear dynamics, models of financial fragility and heterogeneous interacting agents. He published papers in economic, history of economy and history of economic analysis, nonlinear math, applied economics and econophysics. Simone Landini earned his Doctoral Degree in Mathematics from the University of Milano Bicocca, Italy in 2006. He is a researcher at the Istituto di Ricerche Economico Sociali del Piemonte (IRES Piemonte), Turin, Italy. He has been visiting Fellow at the Faculty of Business at the University of Technology, Sydney. His research interests include macroeconomics, dynamics of industrial and banking sectors, the financial fragility of economic systems, income and wealth distribution, financial markets analysis and microstructure, agent based modelling and their analytical solution, statistical physics and econometric applications to social and regional sciences.

Inhaltsverzeichnis

Preface; List of tables; List of figures, 1. Introduction; Part I. Methodological Notes and Tools: 2. The state space notion; 3. The master equation; Part II. Applications to HIA Based Models: 4. Financial fragility and macroeconomic dynamics I: heterogeneity and interaction; 5. Financial fragility and macroeconomic Dynamics II: learning; Part III. Conclusions: 6. Conclusive remarks; Part IV. Appendices and Complements: Appendix A: Complements to Chapter 3; Appendix B: Solving the ME to solve the ABM; Appendix C: Specifying transition rates; Index.

Zusätzliche Informationen

GOR013768981
9781107198944
1107198941
Interactive Macroeconomics: Stochastic Aggregate Dynamics with Heterogeneous and Interacting Agents Corrado Di Guilmi (University of Technology, Sydney)
Gebraucht - Sehr Gut
Gebundene Ausgabe
Cambridge University Press
2017-04-04
302
N/A
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