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Essentials of Economics

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Essentials of Economics brings the same captivating writing and innovative features of Krugman/Wells to the one-term combined micro/macro course. Adapted by Martha Olney (coauthor of the Krugman/Wells study guide and overall coordinator of its media/supplements package), it is the ideal text for teaching basic economic principles in a real-world context to students who are not planning to continue up the economics curriculum.

471 pages, Paperback

First published January 1, 2006

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About the author

Paul Krugman

361 books1,610 followers
Paul Robin Krugman is an American economist, liberal columnist and author. He is Professor of Economics and International Affairs at the Woodrow Wilson School of Public and International Affairs, Princeton University, Centenary Professor at the London School of Economics, and an op-ed columnist for The New York Times. In 2008, Krugman won the Nobel Memorial Prize in Economics for his contributions to New Trade Theory and New Economic Geography.

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Displaying 1 - 3 of 3 reviews
Profile Image for Gonza.
97 reviews
July 12, 2023
me lo leí en una noche y tiene como 700 páginas🫠 me saqué 9 al menos
Profile Image for Viktor O..
Author 12 books3 followers
March 13, 2020
Living in New York, Prof. Paul Krugman presents his American understanding of economics science theories and practices. However, the economics sciences changes rapidly, hence Prof. Paul Krugman may certainly benefit from learning on the new European developments in the economics science, which are well described in the Business Cycles in Economics book by Viktor O. Ledenyov and Dimitri O. Ledenyov!!!
Profile Image for Parke Troutman.
20 reviews
June 21, 2014
An oddly conservative take on economics that leaves unquestioned many controversial ideas. For instance, Pareto efficiency is stated as science when it's very much a profoundly conservative value judgment that only an economist or someone very rich would think is reasonable. As such, it takes the life out of economics, reducing it to calculations of the math behind simplified market models.
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