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.
How modern economics abandoned classical liberalism and lost its way
Milton Friedman once predicted that advances in scientific economics would resolve debates about whether raising the minimum wage is good policy. Decades later, Friedman’s prediction has not come true. In Where Economics Went Wrong, David Colander and Craig Freedman argue that it never will. Why? Because economic policy, when done correctly, is an art and a craft. It is not, and cannot be, a science. The authors explain why classical liberal economists understood this essential difference, why modern economists abandoned it, and why now is the time for the profession to return to its classical liberal roots.
Carefully distinguishing policy from science and theory, classical liberal economists emphasized values and context, treating economic policy analysis as a moral science where a dialogue of sensibilities and judgments allowed for the same scientific basis to arrive at a variety of policy recommendations. Using the University of Chicago—one of the last bastions of classical liberal economics—as a case study, Colander and Freedman examine how both the MIT and Chicago variants of modern economics eschewed classical liberalism in their attempt to make economic policy analysis a science. By examining the way in which the discipline managed to lose its bearings, the authors delve into such issues as the development of welfare economics in relation to economic science, alternative voices within the Chicago School, and exactly how Friedman got it wrong.
Contending that the division between science and prescription needs to be restored, Where Economics Went Wrong makes the case for a more nuanced and self-aware policy analysis by economists.
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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