Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This book examines the role of tax policy in the incidence of socio-economic inequality. With a focus on Latin American, the author demonstrates that while inequality has decreased remarkably in the last decade – during the very period in which inequality was increasing almost everywhere else in the world – this reduction cannot be attributed to a better use of tax policy. Offering both quantitative and qualitative reviews of tax policies pursued by Argentina, Chile, Colombia, Mexico and Peru over the last two decades, Reducing Inequality in Latin America contends that these countries continue to make insufficient use taxation measures in combating startlingly high levels of inequality. Drawing on legal texts, interviews with researchers and experts in the field, and official monetary statistics to obtain a complete picture of how discretionary tax policy has been pursued in the region, this volume engages with a range of recent economic theories to argue for the importance of using the tax system to reduce inequalities, whilst also offering new methods for measuring tax policy in subsequent research. As such, it will appeal both to scholars of social science and policy makers with interests in economics, social inequality, public policy and international political economy.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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