Inequality: What Can Be Done?
Anthony B. Atkinson
Winner of the Richard A. Lester Award for the Outstanding Book in Industrial Relations and Labor Economics, Princeton University An Economist Best Economics and Business Book of the Year A Financial Times Best Economics Book of the Year Inequality is one of our most urgent social problems. Curbed in the decades after World War II, it has recently returned with a vengeance. We all know the scale of the problem—talk about the 99% and the 1% is entrenched in public debate—but there has been little discussion of what we can do but despair. According to the distinguished economist Anthony Atkinson, however, we can do much more than skeptics imagine. “[Atkinson] sets forth a list of concrete, innovative, and persuasive proposals meant to show that alternatives still exist, that the battle for social progress and equality must reclaim its legitimacy, here and now... Witty, elegant, profound, this book should be read.” —Thomas Piketty, New York Review of Books “An uncomfortable affront to our reigning triumphalists. [Atkinson’s] premise is straightforward: inequality is not unavoidable, a fact of life like the weather, but the product of conscious human behavior.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Economics | 2016 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
Inequality is not unavoidable like the weather; it results from conscious human behavior, and effective policy proposals can reduce it.
Model confidence 62%
04 Reading orientation
65 / 100 academicAcademic
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 78%.