Poorly Understood: What America Gets Wrong About Poverty - Hardcover

Rank, Mark Robert; Eppard, Lawrence M.; Bullock, Heather E.

Hardcover

ISBN 10: 0190881380 ISBN 13: 9780190881382

Publisher: OUP USA, 2021

Synopsis

Seeks to challenge and debunk these myths, along the way asking tough questions about how and why they have persisted and what it would take to replace them with true stories.

About this title

About the Author

Mark Robert Rank is currently the Herbert S. Hadley Professor of Social Welfare in the George Warren Brown School of Social Work at Washington University in St. Louis. He is widely recognized as one of the foremost experts on issues of poverty, inequality, and social justice. He has been the recipient of many awards, and his research has been reported in a wide range of media outlets including The New York Times, The Washington Post, The Wall Street Journal, the Los Angeles Times, USA Today, and NPR.

Lawrence M. Eppard is Assistant Professor of Sociology at Shippensburg University. His areas of research include poverty, economic inequality, and racial inequities. He has recently published the book Rugged Individualism and the Misunderstanding of American Inequality (with Rank and Bullock), and is currently working on a book for Oxford University Press tentatively titled On Inequality and Freedom.

Heather E. Bullock is Professor of Psychology at the University of California at Santa Cruz. She also serves as the director of the Blum Center on Poverty, Social Enterprise, and Participatory Governance. Her areas of interest include the social psychological dimensions of economic inequality, as well as identifying the attitudes and beliefs that predict support for anti-poverty policies. She has published her research across a wide range of academic journals and is the author of two award winning books.

Edition details

• Publisher: OUP USA
• Publication date: 2021
• Language: English
• ISBN 10: 0190881380
• ISBN 13: 9780190881382
• Binding: Hardcover
• Edition number: 1
• Number of pages: 256