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AbstractThe right tail of the firm size distribution has a heavy tail. The origin of this phenomenon, especially the specific characteristics of firms driving this pattern, remain a subject of extensive debate. Previous work has shown that plant size distribution has thinner tails than firm size distribution, indicating the role of multi‐plant firms. However, we do not know whether this phenomenon is simply a mechanical effect arising from aggregation across multiple plants or whether the plants of multi‐plant firms are different from those of single‐plant firms. Using novel data with plant‐to‐firm mapping, we document that plants of multi‐plant firms are more heavy‐tailed than single‐plant firms, indicating the dominance of the selection effect at the intensive margin. Extensive margin via aggregation of sales at the firm level plays a less crucial role than the selection effect. Importantly, single‐plant exporters have a thinner tail than multi‐plant non‐exporters, suggesting a more dominant role of multi‐plant identity than export identity in explaining heavy tails.

The distributions of income and wealth in countries across the world are found to possess some robust and stable features independent of the specific economic, social and political conditions of the countries. We discuss a few physics-inspired multi-agent dynamic models along with their microeconomic counterparts, that can produce the statistical features of the distributions observed in reality. A number of exact analytical methods and solutions are also provided.

The distributions of income and wealth in countries across the world are found to possess some robust and stable features independent of the specific economic, social and political conditions of the countries. We discuss a few physics-inspired multi-agent dynamic models along with their microeconomic counterparts, that can produce the statistical features of the distributions observed in reality. A number of exact analytical methods and solutions are also provided.

Research on loss absorption of financial group (bank network) -- The Mathematics of Human Contact -- Does it still matter in the new world where a refugee comes from? - Social network, Shocks, and Ethnicity - A multi-level analysis -- The Transferability of Human Capital, the Brain Drain, and the Brain Gain -- Evolution in Anonymous Population Games with Multiple Types -- Analysis of search actions on the Internet including the effect of blog and Twitter using Sociophysics approach -- Statistical analysis of a political demonstration using location-based big data -- Different Type of Interaction Plays a Role of Decision Error on Collective Behavior -- A financial network approach to unconventional monetary policy assessment - the case of Quantitative Easing in the euro area -- From Housing Locale Theory to Agent-Based Modeling Approach

"One of the key issues the world grappled with during Covid-19 was the distributional implications of lockdowns globally. The shadow of lockdown policies continues when nations still try to emerge out of the pandemic. Heterogeneity herein over time, country and even within nations in policy making resulted in unintended consequences and debates between citizens, scientists, policy makers and civil society. Responses to Covid-19 meanwhile tried to balance a long run approach which involved the health sector, built on an innovation-oriented mindset and kept in mind the broader economic implications of policy decisions for the future. Flattening the Curve is an effort to summarize these learnings from Covid-19, especially for future pandemics in this age of zoonotic diseases and the Anthropocene. Assembling scholars, scientists, innovators and entrepreneurs from across a variety of fields, this edited volume brings an interdisciplinary understanding to how the world can better respond socially to pandemics. It should be of immense value for students, scholars, policy makers and researchers in public policy, global health, economics, science and innovation policy, as well as regulation and business."

This text provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data.