Macro-Econophysics
New Studies on Economic Networks and Synchronization

This book explains the role of big data and statistical physics in understanding macroeconomic concepts.

Hideaki Aoyama (Author), Yoshi Fujiwara (Author), Yuichi Ikeda (Author), Hiroshi Iyetomi (Author), Wataru Souma (Author), Hiroshi Yoshikawa (Author)

9781107198951, Cambridge University Press

Hardback, published 4 July 2017

432 pages
24.8 x 19.1 x 2.4 cm, 0.85 kg

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

Preface
Foreword, Acknowledgements, List of tables
List of figures, prologue, 1. Introduction: reconstructing macroeconomics
2. Basic concepts in statistical physics and stochastic models
3. Income and firm-size distributions
4. Productivity distribution and related topics
5. Multivariate time-series analysis
6. Business cycles
7. Price dynamics and inflation/deflation
8. Complex network, community analysis, visualization
9. Systemic risks
Appendix A: computer program for beginners
Epilogue
Bibliography
Index.

Subject Areas: Data mining [UNF], Probability & statistics [PBT], Economic forecasting [KCJ], Econometrics [KCH], Macroeconomics [KCB]