The economic other : inequality in the American political imagination
著者
書誌事項
The economic other : inequality in the American political imagination
University of Chicago Press, 2020
- : paper
大学図書館所蔵 件 / 全3件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Economic inequality is at a record high in the United States, but public demand for redistribution is not rising with it. Meghan Condon and Amber Wichowsky show that this paradox and other mysteries about class and US politics can be solved through a focus on social comparison. Powerful currents compete to propel attention up or down--toward the rich or the poor--pulling politics along in the wake.
Through an astute blend of experiments, surveys, and descriptions people offer in their own words, The Economic Other reveals that when less-advantaged Americans compare with the rich, they become more accurate about their own status and want more from government. But American society is structured to prevent upward comparison. In an increasingly divided, anxious nation, opportunities to interact with the country's richest are shrinking, and people prefer to compare to those below to feel secure. Even when comparison with the rich does occur, many lose confidence in their power to effect change.
Laying bare how social comparisons drive political attitudes, The Economic Other is an essential look at the stubborn plight of inequality and the measures needed to solve it.
目次
1: The Politics of Social Comparison
Part I: Imagining the Economic Other
2: Inequality in the Social Mind
3: Revealing the Social Mind
4: The Disadvantaged Other
5: The Advantaged Other
Part II: Responding to the Economic Other
6: Social Comparison and Status Perceptions
7: Social Comparison and Support for Redistribution
Part III: Insulated from Inequality
8: Why Americans Don't Look Up
9: Why Americans Would Rather Look Down
10: How Looking Up Keeps Us Down
11: The Power of Social Comparison
Acknowledgments
Appendix
Notes
References
Index
「Nielsen BookData」 より