The Third Edition expands on the earlier editions in two ways. First, the coverage has been rewritten and rearranged. Second, chapters have been added on game theory, oligopoly, asset markets, and information economics. The new chapters fully update the text, highlighting significant developments of the last decade at a level that is accessible for first-year graduate students.

    Whether you're building the next killer app, investing in a startup, or simply curious about the technology, this practical book is essential reading.Bitcoin, the first successful decentralized digital currency, is still in its infancy and it's already spawned a multi-billion dollar global economy. This economy is open to anyone with the knowledge and passion to participate. Mastering Bitcoin provides you with the knowledge you need (passion not included).This book includes:A broad introduction to bitcoin--ideal for non-technical users, investors, and business executivesAn explanation of the technical foundations of bitcoin and cryptographic currencies for developers, engineers, and software and systems architectsDetails of the bitcoin decentralized network, peer-to-peer architecture, transaction lifecycle, and security principlesOffshoots of the bitcoin and blockchain inventions, including alternative chains, currencies, and applicationsUser stories, analogies, examples, and code snippets illustrating key technical concepts

    An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.

    This revision retains most of the text’s traditional features, including a middle-of-the-road approach and very current research, while updating and simplifying the exposition. This revision focuses on making the text even easier to teach from. The only pre-requisite continues to be principles of economics.

    Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

    The book's patient explanations are written in an informal, non-intimidating style. To underscore the relevance of mathematics to economics, the author allows the economist's analytical needs to motivate the study of related mathematical techniques; he then illustrates these techniques with appropriate economics models. Graphic illustrations often visually reinforce algebraic results. Many exercise problems serve as drills and help bolster student confidence. These major types of economic analysis are covered: statics, comparative statics, optimization problems, dynamics, and mathematical programming. These mathematical methods are introduced: matrix algebra, differential and integral calculus, differential equations, difference equations, and convex sets.

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

    We all sense that, but Mervyn King knows it firsthand; his ten years at the helm of the Bank of England, including at the height of the financial crisis, revealed profound truths about the mechanisms of our capitalist society. In The End of Alchemy he offers us an essential work about the history and future of money and banking, the keys to modern finance.The Industrial Revolution built the foundation of our modern capitalist age. Yet the flowering of technological innovations during that dynamic period relied on the widespread adoption of two much older ideas: the creation of paper money and the invention of banks that issued credit. We take these systems for granted today, yet at their core both ideas were revolutionary and almost magical. Common paper became as precious as gold, and risky long-term loans were transformed into safe short-term bank deposits. As King argues, this is financial alchemy—the creation of extraordinary financial powers that defy reality and common sense. Faith in these powers has led to huge benefits; the liquidity they create has fueled economic growth for two centuries now. However, they have also produced an unending string of economic disasters, from hyperinflations to banking collapses to the recent global recession and current stagnation.How do we reconcile the potent strengths of these ideas with their inherent weaknesses? King draws on his unique experience to present fresh interpretations of these economic forces and to point the way forward for the global economy. His bold solutions cut through current overstuffed and needlessly complex legislation to provide a clear path to durable prosperity and the end of overreliance on the alchemy of our financial ancestors.

    Each time, the experts have chimed, "this time is different"--claiming that the old rules of valuation no longer apply and that the new situation bears little similarity to past disasters. With this breakthrough study, leading economists Carmen Reinhart and Kenneth Rogoff definitively prove them wrong. Covering sixty-six countries across five continents, This Time Is Different presents a comprehensive look at the varieties of financial crises, and guides us through eight astonishing centuries of government defaults, banking panics, and inflationary spikes--from medieval currency debasements to today's subprime catastrophe. Carmen Reinhart and Kenneth Rogoff, leading economists whose work has been influential in the policy debate concerning the current financial crisis, provocatively argue that financial combustions are universal rites of passage for emerging and established market nations. The authors draw important lessons from history to show us how much--or how little--we have learned. Using clear, sharp analysis and comprehensive data, Reinhart and Rogoff document that financial fallouts occur in clusters and strike with surprisingly consistent frequency, duration, and ferocity. They examine the patterns of currency crashes, high and hyperinflation, and government defaults on international and domestic debts--as well as the cycles in housing and equity prices, capital flows, unemployment, and government revenues around these crises. While countries do weather their financial storms, Reinhart and Rogoff prove that short memories make it all too easy for crises to recur. An important book that will affect policy discussions for a long time to come, This Time Is Different exposes centuries of financial missteps.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    This student-friendly text takes a hands-on approach to economic theory, issues and politics using a lively writing style which engages the student with clear explanations, easy to understand graphs and relevant examples.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    "Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use.