Author : John William Scott Cassels
Publisher : Cambridge University Press
Page : 161 pages
File Size : 39,77 MB
Release : 1981-12-10
Category : Business & Economics
ISBN : 052128614X
This is the expanded notes of a course intended to introduce students specializing in mathematics to some of the central ideas of traditional economics. The book should be readily accessible to anyone with some training in university mathematics; more advanced mathematical tools are explained in the appendices. Thus this text could be used for undergraduate mathematics courses or as supplementary reading for students of mathematical economics.
Author : Arnold Kling Ph.D.
Publisher : Xlibris Corporation
Page : 378 pages
File Size : 23,40 MB
Release : 2004-09-13
Category : Business & Economics
ISBN : 1462834205
This book introduces the subject of economics using clear prose, rather than the graphs and equations common in many textbooks. The focus is on contemporary issues, particularly technological innovation and growth. To browse through the book or read some endorsements of the book, click here. The link below only gives you a brief excerpt.
Author : Ajay Agrawal
Publisher : University of Chicago Press
Page : 172 pages
File Size : 14,74 MB
Release : 2024-03-05
Category : Business & Economics
ISBN : 0226833127
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author : Knut Sydsæter
Publisher : Prentice Hall
Page : 610 pages
File Size : 18,45 MB
Release : 2005
Category : Business & Economics
ISBN :
Further Mathematics for Economic Analysis By Sydsaeter, Hammond, Seierstad and Strom "Further Mathematics for Economic Analysis" is a companion volume to the highly regarded "E""ssential Mathematics for Economic Analysis" by Knut Sydsaeter and Peter Hammond. The new book is intended for advanced undergraduate and graduate economics students whose requirements go beyond the material usually taught in undergraduate mathematics courses for economists. It presents most of the mathematical tools that are required for advanced courses in economic theory -- both micro and macro. This second volume has the same qualities that made the previous volume so successful. These include mathematical reliability, an appropriate balance between mathematics and economic examples, an engaging writing style, and as much mathematical rigour as possible while avoiding unnecessary complications. Like the earlier book, each major section includes worked examples, as well as problems that range in difficulty from quite easy to more challenging. Suggested solutions to odd-numbered problems are provided. Key Features - Systematic treatment of the calculus of variations, optimal control theory and dynamic programming. - Several early chapters review and extend material in the previous book on elementary matrix algebra, multivariable calculus, and static optimization. - Later chapters present multiple integration, as well as ordinary differential and difference equations, including systems of such equations. - Other chapters include material on elementary topology in Euclidean space, correspondences, and fixed point theorems. A website is available which will include solutions to even-numbered problems (available to instructors), as well as extra problems and proofs of some of the more technical results. Peter Hammond is Professor of Economics at Stanford University. He is a prominent theorist whose many research publications extend over several different fields of economics. For many years he has taught courses in mathematics for economists and in mathematical economics at Stanford, as well as earlier at the University of Essex and the London School of Economics. Knut Sydsaeter, Atle Seierstad, and Arne Strom all have extensive experience in teaching mathematics for economists in the Department of Economics at the University of Oslo. With Peter Berck at Berkeley, Knut Sydsaeter and Arne Strom have written a widely used formula book, "Economists' Mathematical Manual "(Springer, 2000). The 1987 North-Holland book "Optimal Control Theory for Economists "by Atle Seierstad and Knut Sydsaeter is still a standard reference in the field.
Author : Andy Prentice
Publisher : Usborne Publishing Ltd
Page : 134 pages
File Size : 47,53 MB
Release : 2021-05-27
Category : Juvenile Nonfiction
ISBN : 1801313830
Nobody has everything they need, all the time – so how can we make do with what we have? Economics is all about understanding the choices we make to solve this problem. With bright, infographics pictures, this informative book describes why markets are so important, how businesses work out what to sell, and how governments choose how to run a country. Includes Usborne Quicklinks to specially selected websites for more information.
Author : Atin Basuchoudhary
Publisher : Springer
Page : 97 pages
File Size : 42,52 MB
Release : 2017-12-28
Category : Business & Economics
ISBN : 3319690140
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.
Author : Gail Mitchell Hoyt
Publisher : Edward Elgar Publishing
Page : 895 pages
File Size : 16,34 MB
Release : 2012
Category : Business & Economics
ISBN : 1781002452
ÔThe International Handbook on Teaching and Learning Economics is a power packed resource for anyone interested in investing time into the effective improvement of their personal teaching methods, and for those who desire to teach students how to think like an economist. It sets guidelines for the successful integration of economics into a wide variety of traditional and non-traditional settings in college and graduate courses with some attention paid to primary and secondary classrooms. . . The International Handbook on Teaching and Learning Economics is highly recommended for all economics instructors and individuals supporting economic education in courses in and outside of the major. This Handbook provides a multitude of rich resources that make it easy for new and veteran instructors to improve their instruction in ways promising to excite an increasing number of students about learning economics. This Handbook should be on every instructorÕs desk and referenced regularly.Õ Ð Tawni Hunt Ferrarini, The American Economist ÔIn delightfully readable short chapters by leaders in the sub-fields who are also committed teachers, this encyclopedia of how and what in teaching economics covers everything. There is nothing else like it, and it should be required reading for anyone starting a teaching career Ð and for anyone who has been teaching for fewer than 50 years!Õ Ð Daniel S. Hamermesh, University of Texas, Austin, US The International Handbook on Teaching and Learning Economics provides a comprehensive resource for instructors and researchers in economics, both new and experienced. This wide-ranging collection is designed to enhance student learning by helping economic educators learn more about course content, pedagogic techniques, and the scholarship of the teaching enterprise. The internationally renowned contributors present an exhaustive compilation of accessible insights into major research in economic education across a wide range of topic areas including: ¥ Pedagogic practice Ð teaching techniques, technology use, assessment, contextual techniques, and K-12 practices. ¥ Research findings Ð principles courses, measurement, factors influencing student performance, evaluation, and the scholarship of teaching and learning. ¥ Institutional/administrative issues Ð faculty development, the undergraduate and graduate student, and international perspectives. ¥ Teaching enhancement initiatives Ð foundations, organizations, and workshops. Grounded in research, and covering past and present knowledge as well as future challenges, this detailed compendium of economics education will prove an invaluable reference tool for all involved in the teaching of economics: graduate students, new teachers, lecturers, faculty, researchers, chairs, deans and directors.
Author : John Quiggin
Publisher : Princeton University Press
Page : 404 pages
File Size : 15,56 MB
Release : 2021-04-13
Category : Business & Economics
ISBN : 0691217424
Since 1946, Henry Hazlitt's bestselling Economics in One Lesson has popularized the belief that economics can be boiled down to one simple lesson: market prices represent the true cost of everything. But one-lesson economics tells only half the story. It can explain why markets often work so well, but it can't explain why they often fail so badly--or what we should do when they stumble. Quiggin teaches both lessons, offering an introduction to the key ideas behind the successes--and failures--of free markets. He explains why market prices often fail to reflect the full cost of our choices to society as a whole. Two-lesson economics means giving up the dogmatism of laissez-faire as well as the reflexive assumption that any economic problem can be solved by government action, since the right answer often involves a mixture of market forces and government policy. But the payoff is huge: understanding how markets actually work--and what to do when they don't. This book unlocks the essential issues at the heart of any economic question. --From publisher description.
Author : Ray Dalio
Publisher : Simon and Schuster
Page : 560 pages
File Size : 20,91 MB
Release : 2018-08-07
Category : Business & Economics
ISBN : 1982112387
#1 New York Times Bestseller “Significant...The book is both instructive and surprisingly moving.” —The New York Times Ray Dalio, one of the world’s most successful investors and entrepreneurs, shares the unconventional principles that he’s developed, refined, and used over the past forty years to create unique results in both life and business—and which any person or organization can adopt to help achieve their goals. In 1975, Ray Dalio founded an investment firm, Bridgewater Associates, out of his two-bedroom apartment in New York City. Forty years later, Bridgewater has made more money for its clients than any other hedge fund in history and grown into the fifth most important private company in the United States, according to Fortune magazine. Dalio himself has been named to Time magazine’s list of the 100 most influential people in the world. Along the way, Dalio discovered a set of unique principles that have led to Bridgewater’s exceptionally effective culture, which he describes as “an idea meritocracy that strives to achieve meaningful work and meaningful relationships through radical transparency.” It is these principles, and not anything special about Dalio—who grew up an ordinary kid in a middle-class Long Island neighborhood—that he believes are the reason behind his success. In Principles, Dalio shares what he’s learned over the course of his remarkable career. He argues that life, management, economics, and investing can all be systemized into rules and understood like machines. The book’s hundreds of practical lessons, which are built around his cornerstones of “radical truth” and “radical transparency,” include Dalio laying out the most effective ways for individuals and organizations to make decisions, approach challenges, and build strong teams. He also describes the innovative tools the firm uses to bring an idea meritocracy to life, such as creating “baseball cards” for all employees that distill their strengths and weaknesses, and employing computerized decision-making systems to make believability-weighted decisions. While the book brims with novel ideas for organizations and institutions, Principles also offers a clear, straightforward approach to decision-making that Dalio believes anyone can apply, no matter what they’re seeking to achieve. Here, from a man who has been called both “the Steve Jobs of investing” and “the philosopher king of the financial universe” (CIO magazine), is a rare opportunity to gain proven advice unlike anything you’ll find in the conventional business press.
Author : George W. Evans
Publisher : Princeton University Press
Page : 440 pages
File Size : 15,42 MB
Release : 2012-01-06
Category : Business & Economics
ISBN : 1400824265
A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. Inflation, asset prices, exchange rates, investment, and consumption are just some of the economic variables that are largely explained by expectations. Here George Evans and Seppo Honkapohja bring new explanatory power to a variety of expectation formation models by focusing on the learning factor. Whereas the rational expectations paradigm offers the prevailing method to determining expectations, it assumes very theoretical knowledge on the part of economic actors. Evans and Honkapohja contribute to a growing body of research positing that households and firms learn by making forecasts using observed data, updating their forecast rules over time in response to errors. This book is the first systematic development of the new statistical learning approach. Depending on the particular economic structure, the economy may converge to a standard rational-expectations or a "rational bubble" solution, or exhibit persistent learning dynamics. The learning approach also provides tools to assess the importance of new models with expectational indeterminacy, in which expectations are an independent cause of macroeconomic fluctuations. Moreover, learning dynamics provide a theory for the evolution of expectations and selection between alternative equilibria, with implications for business cycles, asset price volatility, and policy. This book provides an authoritative treatment of this emerging field, developing the analytical techniques in detail and using them to synthesize and extend existing research.
