This book examines empirical and theoretical research on economic inequality from the perspective of dynamic models. By using advanced mathematical tools, it reveals fundamental market dynamics and underlines the role of subsistence constraints and competition in economic distribution.

Contains up-to-date and accessible material, plus all the necessary mathematical background. By verifying the asymmetric property of the dynamic link travel time function, while identifying the inflow, exit flow and number of vehicles on a physical link as three different states over time, the author adopts a variational inequality approach using one time-space link variable. This is then used to formulate problems with deterministic, stochastic and fuzzy traffic information. The book is thus of particular interest to those readers involved in aspects of model formulation, solution algorithm, equivalence analysis and numerical examples.

This contributed volume combines approaches of the current inequality debate with aspects of finance based on profound macroeconomic model analyses. Research on inequality has had a long tradition in economics. With the financial crisis from 2007, not only output decreased tremendously, but also inequality has risen since then. The book presents selected contributions of a workshop held at Bielefeld University in 2016 and features additional papers written by experts in the field. A mixture of established researchers and young scholars presents both theoretical and empirical frameworks to analyze the subject.

This book addresses dynamics with inequalities comprehensively. The author develops the theory and application of dynamical systems that incorporate some kind of hard inequality constraint, such as mechanical systems with impact; electrical circuits with diodes (as diodes permit current flow in only one direction); and social and economic systems that involve natural or imposed limits (such as traffic flow, which can never be negative, or inventory, which must be stored within a given facility). This book demonstrates that hard limits - eschewed in most dynamical models - are natural models for many dynamic phenomena, and there are ways of creating differential equations with hard constraints that provide accurate models of many physical, biological, and economic systems. The author discusses how finite- and infinite-dimensional problems are treated in a unified way so the theory is applicable to both ordinary differential equations and partial differential equations.

Aage Sorensen was an influential intellectual presence who was one of the world's leading authorities on social stratification and the sociology of education. His research sought to understand the structures, dynamics and mechanisms that underlie inequalities in industrial societies by focusing on how individuals' attainments are shaped by characteristics of a society's or organization's opportunity structure, on the one hand, and individuals' education, experience and other human capital resources, on the other. He emphasized inequalities associated with education and schooling, class, and stratification outcomes such as income and occupational status. Within these general foci, he tackled the study of phenomena as diverse as rates of learning in elementary school reading groups and promotion patterns in large industrial corporations. The chapters of this volume illustrate some of the major themes that characterized Aage's research; these topics are also likely to constitute important concerns for future efforts to understand structured social inequality in society. These themes include: the development of explicit dynamic models to account for observed patterns of education, career, and labor market outcomes; aspects of educational inequality such as school effects and learning opportunities; issues related to intragenerational mobility and careers; and the role of rents in generating structural inequality.

"This book begins the process of unraveling some of the most 'wicked' problems in public health." - Tony Iton, MD, JD, MPH-The California Endowment Growing evidence indicates that no single factor-but a system of intertwined causes-explains why America's health is poorer than the health of other wealthy countries and why health inequities persist despite our efforts. Teasing apart the relationships between these many causes to find solutions has proven extraordinarily difficult. But now researchers are uncovering groundbreaking insights using computer-based systems science tools to simulate how these determinants come together to produce levels of population health and disparities and test new solutions. The culmination of over five years of work by experts from a more than a dozen disciplines, this book represents a bold step forward in identifying why some populations are healthy and others are not. Describing a series of studies that apply the techniques of systems science, it shows how these tools can be used to increase our understanding of the individual, group, and institutional factors that generate a wide range of health and social problems. Most importantly, it demonstrates the utility and power of these techniques to both wisely guide our understanding and help policy makers know what works. ... an intellectually courageous undertaking. It faces up to the reality of complexity in the social determinants of health. Its achievements and its documentation of difficulties will serve as a valuable foundation for the next generation of scientists and scholars who aim to understand the determinants of health and of health disparities." - Harvey V. Fineberg, MD, PhD, President, Gordon and Betty Moore Foundation and Former President, the Institute of Medicine ...goes beyond the search for a simplistic answer to health disparities and instead embraces the complexity. This is exactly what is needed if we are to improve population health and eliminate disparities." - Thomas A. LaVeist, PhD, Chairman, Department of Health Policy & Management, Milken Institute School of Public Health, George Washington University It is increasingly likely that in the non-distant future that population health policy will be fully informed by a coherent computational decision-support system that integrates data, analytics, systems modeling, forecasting, and cost-effectiveness. This book marks a serious movement toward that future." - Donald S. Burke, MD, Associate Vice Chancellor for Global Health, Dean, Graduate School of Public Health UPMC, Jonas Salk Professor of Global Health, Graduate School of Public Health, University of Pittsburgh Recent review of Growing Inequality by Interdisciplinary Association of Population Health Science (IAPHS): https: //iaphs.org/book-review-complex-systems-population-health-insights-network-inequality-complexity-health/