Analyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey is a practical resource for helping students connect sociological issues with real-world data in the context of their first undergraduate sociology courses. This worktext introduces readers to the GSS, one of the most widely analyzed surveys in the U.S.; examines a range of GSS questions related to social inequalities; and demonstrates basic techniques for analyzing this data online. No special software is required–the exercises can be completed using the Survey Documentation and Analysis (SDA) website at the University of California-Berkeley which is easy to navigate and master. Students will come away with a better understanding of social science research, and will be better positioned to ask and answer the sociological questions that most interest them.

This volume presents a comprehensive compendium of classical and new inequalities as well as some recent extensions to well-known ones. Variations of inequalities ascribed to Abel, Jensen, Cauchy, Chebyshev, Hölder, Minkowski, Stefferson, Gram, Fejér, Jackson, Hardy, Littlewood, Po'lya, Schwarz, Hadamard and a host of others can be found in this volume. The more than 1200 cited references include many from the last ten years which appear in a book for the first time. The 30 chapters are all devoted to inequalities associated with a given classical inequality, or give methods for the derivation of new inequalities. Anyone interested in equalities, from student to professional, will find their favorite inequality and much more.

Includes papers presented at the conference "Gender and Social Transformation: Global, Transnational, and Local Realities and Perspectives", Beijing, China in 2009. This title addresses topics such as: divisions of labor, migration, war and peace-building.

Numerical Analysis of Variational Inequalities

An examination of the state of the art in stratification research, looking at data, methods, theory, and new empirical findings in social inequality, life course, and cross-national comparative sociology.

Have gaps in health outcomes between the poor and better off grown? Are they larger in one country than another? Are health sector subsidies more equally distributed in some countries than others? Are health care payments more progressive in one health care financing system than another? What are catastrophic payments and how can they be measured? How far do health care payments impoverish households? Answering questions such as these requires quantitative analysis. This in turn depends on a clear understanding of how to measure key variables in the analysis, such as health outcomes, health expenditures, need, and living standards. It also requires set quantitative methods for measuring inequality and inequity, progressivity, catastrophic expenditures, poverty impact, and so on. This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how these tools and methods can be applied in the health sector. The book seeks to provide the reader with both a solid grasp of the principles underpinning distributional analysis, while at the same time offering hands-on guidance on how to move from principles to practice.

Cities have become the major habitat for human societies. They are also the places where the starkest social inequalities show up. Income, social, land and housing inequalities shape the built environment and living conditions of different neighborhoods of cities, and in return, unequal access to services, environmental quality and favorable health conditions in different neighborhoods and cities fuel the reproduction of interpersonal inequalities. This book examines how inequalities are produced and reproduced both within and between cities. In particular, we review land rent and social segregation theories from diverse disciplinary references and through examples taken from around the world. The attraction of urban centralities, which is further reinforced by the growing financialization of property and urban capital, is also analyzed through the lens of its influence on rent-seeking mechanisms and the ever increasing pressure of population migration.

Inequalities are central to the public debate and social science research. They are inextricably linked to geographical space, shaping human mobility and migration patterns, creating diverse living environments and changing individuals’ perceptions of the society they live in and the inequalities that endure within it. Geographical space contributes to the emergence and perpetuation of inequalities between individuals according to their socioeconomic position, gender, ethno-racial origin or even their age. Inequalities in Geographical Space examines inequalities in education, in the workplace, in public and private spaces and those related to migration. Written by geographers, sociologists and economists, this book draws on a variety of theoretical and methodological approaches and compares different spatial and temporal scales. It highlights the importance of geographical space as a vehicle for the expression, creation and reproduction of social, racial, economic and gender inequalities.

The empirical starting point for anyone who wants to understand political cleavages in the democratic world, based on a unique dataset covering fifty countries since WWII. Who votes for whom and why? Why has growing inequality in many parts of the world not led to renewed class-based conflicts, seeming instead to have come with the emergence of new divides over identity and integration? News analysts, scholars, and citizens interested in exploring those questions inevitably lack relevant data, in particular the kinds of data that establish historical and international context. Political Cleavages and Social Inequalities provides the missing empirical background, collecting and examining a treasure trove of information on the dynamics of polarization in modern democracies. The chapters draw on a unique set of surveys conducted between 1948 and 2020 in fifty countries on five continents, analyzing the links between votersÕ political preferences and socioeconomic characteristics, such as income, education, wealth, occupation, religion, ethnicity, age, and gender. This analysis sheds new light on how political movements succeed in coalescing multiple interests and identities in contemporary democracies. It also helps us understand the conditions under which conflicts over inequality become politically salient, as well as the similarities and constraints of voters supporting ethnonationalist politicians like Narendra Modi, Jair Bolsonaro, Marine Le Pen, and Donald Trump. Bringing together cutting-edge data and historical analysis, editors Amory Gethin, Clara Mart’nez-Toledano, and Thomas Piketty offer a vital resource for understanding the voting patterns of the present and the likely sources of future political conflict.

This book contains a wealth of inequalities used in linear analysis, and explains in detail how they are used. The book begins with Cauchy's inequality and ends with Grothendieck's inequality, in between one finds the Loomis-Whitney inequality, maximal inequalities, inequalities of Hardy and of Hilbert, hypercontractive and logarithmic Sobolev inequalities, Beckner's inequality, and many, many more. The inequalities are used to obtain properties of function spaces, linear operators between them, and of special classes of operators such as absolutely summing operators. This textbook complements and fills out standard treatments, providing many diverse applications: for example, the Lebesgue decomposition theorem and the Lebesgue density theorem, the Hilbert transform and other singular integral operators, the martingale convergence theorem, eigenvalue distributions, Lidskii's trace formula, Mercer's theorem and Littlewood's 4/3 theorem. It will broaden the knowledge of postgraduate and research students, and should also appeal to their teachers, and all who work in linear analysis.