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| how economics became a mathematical science: How Economics Became a Mathematical Science E. Roy Weintraub, 2002-05-28 DIVDiscusses the history of 20th century economics, and how it has become dominated by mathematical approaches./div |
| how economics became a mathematical science: Real Analysis with Economic Applications Efe A. Ok, 2011-09-05 There are many mathematics textbooks on real analysis, but they focus on topics not readily helpful for studying economic theory or they are inaccessible to most graduate students of economics. Real Analysis with Economic Applications aims to fill this gap by providing an ideal textbook and reference on real analysis tailored specifically to the concerns of such students. The emphasis throughout is on topics directly relevant to economic theory. In addition to addressing the usual topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. Efe Ok complements the mathematical development with applications that provide concise introductions to various topics from economic theory, including individual decision theory and games, welfare economics, information theory, general equilibrium and finance, and intertemporal economics. Moreover, apart from direct applications to economic theory, his book includes numerous fixed point theorems and applications to functional equations and optimization theory. The book is rigorous, but accessible to those who are relatively new to the ways of real analysis. The formal exposition is accompanied by discussions that describe the basic ideas in relatively heuristic terms, and by more than 1,000 exercises of varying difficulty. This book will be an indispensable resource in courses on mathematics for economists and as a reference for graduate students working on economic theory. |
| how economics became a mathematical science: Economics for Mathematicians John William Scott Cassels, 1981-12-10 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. |
| how economics became a mathematical science: A History of Economic Science in Japan Aiko Ikeo, 2014-04-03 Japanese economists began publishing scientific papers in renowned journals including Econometrica in the 1950s and had made their significant contributions to the sophistication of general equilibrium analysis by intensive use of a variety of mathematical instruments. They had contributed significantly to the transformation of neoclassical economics. This book examines how it became possible for Japanese economists to do so by shedding light on the professional discussion of the international gold standard and parity policies in the early twentieth century, the acceptance of mathematical economics in the following period, the impact of establishment of the Econometric Society (1930), and the swift distribution of theory-oriented economics journals since 1930. This book also includes topics on the historical research of the Japanese foundations of modern economics, the transformation of the economics of Keynes into Keynesian economics, Japanese developments in econometrics, and Martin Bronfenbrenner's visit to Japan in the post-WWII period. This book provides insight into the economic research done by Japanese scholars in the international context. It traces how, during the period 1900-1960, economics was harmonized with economics and a standard economics was re-shaped on the basis of mathematics thanks to economists' appetite for rigor and will help to contribute to existing literature. |
| how economics became a mathematical science: Economics--Mathematical Politics Or Science of Diminishing Returns? Alexander Rosenberg, 1992 Economics will never be able to move beyond these vague predictions because it treats human behavior - individual and social - as the product of expectations and preferences - beliefs and desires - the variables that cannot be measured independently of the actual choices we want to predict. These factors, combined with the economist's commitment to the search for equilibrium solutions to theoretical problems, condemn economic theory to permanent predictive weakness. In the end, Rosenberg's analysis is not merely a critique. His aim is to redefine the scope and value of neoclassical theory, suggesting that its character and most important accomplishments need to be correctly understood to defend economics against the charge that it is a science of diminishing returns.--BOOK JACKET. |
| how economics became a mathematical science: Mathematics for Economics and Finance Martin Anthony, Norman Biggs, 1996-07-13 Mathematics has become indispensable in the modelling of economics, finance, business and management. Without expecting any particular background of the reader, this book covers the following mathematical topics, with frequent reference to applications in economics and finance: functions, graphs and equations, recurrences (difference equations), differentiation, exponentials and logarithms, optimisation, partial differentiation, optimisation in several variables, vectors and matrices, linear equations, Lagrange multipliers, integration, first-order and second-order differential equations. The stress is on the relation of maths to economics, and this is illustrated with copious examples and exercises to foster depth of understanding. Each chapter has three parts: the main text, a section of further worked examples and a summary of the chapter together with a selection of problems for the reader to attempt. For students of economics, mathematics, or both, this book provides an introduction to mathematical methods in economics and finance that will be welcomed for its clarity and breadth. |
| how economics became a mathematical science: The World in the Model Mary S. Morgan, 2012-09-17 During the last two centuries, the way economic science is done has changed radically: it has become a social science based on mathematical models in place of words. This book describes and analyses that change - both historically and philosophically - using a series of case studies to illuminate the nature and the implications of these changes. It is not a technical book; it is written for the intelligent person who wants to understand how economics works from the inside out. This book will be of interest to economists and science studies scholars (historians, sociologists and philosophers of science). But it also aims at a wider readership in the public intellectual sphere, building on the current interest in all things economic and on the recent failure of the so-called economic model, which has shaped our beliefs and the world we live in. |
| how economics became a mathematical science: Constructing Economic Science Keith Tribe, 2022 Constructing Economic Science shows how the new science of economics was primarily an institutional creation of the modern university. Keith Tribe charts the path through commercial education to the discipline of economics and the creation of an economics curriculum that could be replicated around the world. |
| how economics became a mathematical science: Mathematics for Economics and Finance Michael Harrison, Patrick Waldron, 2011-03-31 The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond. The level of the book will also be useful for those embarking on the first year of their graduate studies in Business, Economics or Finance. The book also serves as an introduction to quantitative economics and finance for mathematics students at undergraduate level and above. In recent years, mathematics graduates have been increasingly expected to have skills in practical subjects such as economics and finance, just as economics graduates have been expected to have an increasingly strong grounding in mathematics. The authors avoid the pitfalls of many texts that become too theoretical. The use of mathematical methods in the real world is never lost sight of and quantitative analysis is brought to bear on a variety of topics including foreign exchange rates and other macro level issues. |
| how economics became a mathematical science: An Introduction to Mathematical Modeling Edward A. Bender, 2012-05-23 Employing a practical, learn by doing approach, this first-rate text fosters the development of the skills beyond the pure mathematics needed to set up and manipulate mathematical models. The author draws on a diversity of fields — including science, engineering, and operations research — to provide over 100 reality-based examples. Students learn from the examples by applying mathematical methods to formulate, analyze, and criticize models. Extensive documentation, consisting of over 150 references, supplements the models, encouraging further research on models of particular interest. The lively and accessible text requires only minimal scientific background. Designed for senior college or beginning graduate-level students, it assumes only elementary calculus and basic probability theory for the first part, and ordinary differential equations and continuous probability for the second section. All problems require students to study and create models, encouraging their active participation rather than a mechanical approach. Beyond the classroom, this volume will prove interesting and rewarding to anyone concerned with the development of mathematical models or the application of modeling to problem solving in a wide array of applications. |
| how economics became a mathematical science: Herbert A. Simon Hunter Crowther-Heyck, 2005-04-27 In this informed and discerning study, Crowther-Heyck explores Simon's contributions to science and their influences on modern life and thought. For historians of science, social science, technology, and twentieth-century American intellectual and cultural history, this account of Herbert Simon's life and work provides a rich and valuable perspective. Rarely does the world see as versatile a figure as Herbert Simon. He was a Nobel laureate in economics; an accomplished political scientist; winner of a lifetime achievement award from the American Psychological Association; and founder of the department of computer science at Carnegie Mellon University. In all his work in all these fields, he pursued a single goal - to create a science that could map the bounds of human reason and so enlarge its role in human affairs. Hunter Crowther-Heyck uses the career of this unique individual to examine the evolution of the social sciences after World War II, particularly Simon's creation of a new field, systems science, which joined together two distinct, powerful approaches to human behavior, the sciences of choice and control. Simon sought to develop methods by which human behavior: specifically human problem-solving, could be modeled and simulated. Regarding mind and machine as synonymous, Simon applied his models of human behavior to many other areas, from public administration and business management to artificial intelligence and the design of complex social and technical systems. In this informed and discerning study, Crowther-Heyck explores Simon's contributions to science and their influences on modern life and thought. |
| how economics became a mathematical science: Elements of Mathematics for Economics and Finance Vassilis C. Mavron, Timothy N. Phillips, 2023-11-20 Based on over 15 years’ experience in the design and delivery of successful first-year courses, this book equips undergraduates with the mathematical skills required for degree courses in economics, finance, management, and business studies. The book starts with a summary of basic skills and takes its readers as far as constrained optimisation helping them to become confident and competent in the use of mathematical tools and techniques that can be applied to a range of problems in economics and finance.Designed as both a course text and a handbook, the book assumes little prior mathematical knowledge beyond elementary algebra and is therefore suitable for students returning to mathematics after a long break. The fundamental ideas are described in the simplest mathematical terms, highlighting threads of common mathematical theory in the various topics. Features of the book include: a systematic approach: ideas are touched upon, introduced gradually and thenconsolidated through the use of illustrative examples; several entry points to accommodate differing mathematical backgrounds; numerous problems, with full solutions, and exercises to illustrate the theory and applications; key learning objectives and self-assessment questions provided for each chapter; full solutions to exercises, available to lecturers via the Springer Nature Extramaterial - Lecturer Material website. Vass Mavron is Emeritus Professor of Mathematics at Aberystwyth University. Tim Phillips is Professor of Applied Mathematics in the School of Mathematics at Cardiff University. |
| how economics became a mathematical science: The New Palgrave Dictionary of Economics , 2016-05-18 The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product. |
| how economics became a mathematical science: Philosophy of Mathematics and Economics Thomas A. Boylan, Paschal F. O'Gorman, 2018-04-09 With the failure of economics to predict the recent economic crisis, the image of economics as a rigorous mathematical science has been subjected to increasing interrogation. One explanation for this failure is that the subject took a wrong turn in its historical trajectory, becoming too mathematical. Using the philosophy of mathematics, this unique book re-examines this trajectory. Philosophy of Mathematics and Economics re-analyses the divergent rationales for mathematical economics by some of its principal architects. Yet, it is not limited to simply enhancing our understanding of how economics became an applied mathematical science. The authors also critically evaluate developments in the philosophy of mathematics to expose the inadequacy of aspects of mainstream mathematical economics, as well as exploiting the same philosophy to suggest alternative ways of rigorously formulating economic theory for our digital age. This book represents an innovative attempt to more fully understand the complexity of the interaction between developments in the philosophy of mathematics and the process of formalisation in economics. Assuming no expert knowledge in the philosophy of mathematics, this work is relevant to historians of economic thought and professional philosophers of economics. In addition, it will be of great interest to those who wish to deepen their appreciation of the economic contours of contemporary society. It is also hoped that mathematical economists will find this work informative and engaging. |
| how economics became a mathematical science: The Concept of Equilibrium in Different Economic Traditions Bert Tieben, 2009 |
| how economics became a mathematical science: Energy Transition And Carbon Neutrality In Asean: Developing Carbon Capture, Utilization And Storage Technologies Han Phoumin, Rabindra Nepal, 2024-09-10 This book combines the fundamental forces of technology, economics, finance and policy in understanding the development and deployment of CCUS to facilitate clean energy transition and therefore achieve carbon neutrality in the ASEAN. It provides policy-driven empirical studies, investigating and evaluating multiple facets of development and deployment of CCUS in the ASEAN. These carefully chosen case-studies map CCUS in the regional and country-specific policy framework of the ASEAN; capture technological aspects of CCUS deployment by focussing on the existing and potential industrial applications of CCUS as well as focus on the economics and financial dimensions of CCUS development and deployment. This book on energy technology, economics and policy is highly recommended for readers seeking an exploratory but robust overview on the recent empirical evidences of facilitating the development and deployment of CCUS, with particular reference to the ASEAN and Asian economies including China. |
| how economics became a mathematical science: The Cambridge History of Science: Volume 7, The Modern Social Sciences David C. Lindberg, Theodore M. Porter, Roy Porter, Ronald L. Numbers, 2003-08-04 This volume provides a history of the concepts, practices, institutions, and ideologies of social sciences (including behavioural and economic sciences) since the eighteenth century. It offers original, synthetic accounts of the historical development of social knowledge, including its philosophical assumptions, its social and intellectual organization, and its relations to science, medicine, politics, bureaucracy, philosophy, religion, and the professions. Its forty-two chapters include inquiries into the genres and traditions that formed social science, the careers of the main social disciplines (psychology, economics, sociology, anthropology, political science, geography, history, and statistics), and international essays on social science in Eastern Europe, Asia, Africa, and Latin America. It also includes essays that examine the involvement of the social sciences in government, business, education, culture, and social policy. This is a broad cultural history of social science, which analyzes from a variety of perspectives its participation in the making of the modern world. |
| how economics became a mathematical science: Science in the Contemporary World Eric G. Swedin, 2005-03-08 This work is a unique introductory A–Z resource detailing the scientific achievements of the contemporary world and analyzing the key scientific trends, discoveries, and personalities of the modern age. An authoritative reference survey of the modern age of scientific discovery, Science in the Contemporary World is a scholarly yet accessible chronicle of scientific achievement from the discovery of penicillin to the latest developments in space exploration and cloning. Over 200 A–Z entries cover the full spectrum of contemporary science, with emphasis on its diverse nature. Within the last 50 years, medicine has eradicated the killer disease smallpox, but primarily because the virus can live only in humans. Space probes have revealed that on Europa, a moon of Jupiter, an ice-capped ocean with the potential to support life probably exists. Marvels from animal psychology and deep-sea exploration are also explored extensively. |
| how economics became a mathematical science: Licence to be Bad Jonathan Aldred, 2019-06-06 'It is going to change the way in which we understand many modern debates about economics, politics, and society' Ha Joon Chang, author of 23 Things They Don't Tell You About Capitalism Over the past fifty years, the way we value what is 'good' and 'right' has changed dramatically. Behaviour that to our grandparents' generation might have seemed stupid, harmful or simply wicked now seems rational, natural, woven into the very logic of things. And, asserts Jonathan Aldred in this revelatory new book, it's economics that's to blame. Licence to be Bad tells the story of how a group of economics theorists changed our world, and how a handful of key ideas, from free-riding to Nudge, seeped into our decision-making and, indeed, almost all aspects of our lives. Aldred reveals the extraordinary hold of economics on our morals and values. Economics has corrupted us. But if this hidden transformation is so recent, it can be reversed. Licence to be Bad shows us where to begin. |
| how economics became a mathematical science: Introductory Mathematical Methods in Economics Mik Wisniewski, 1991 This text offers an introduction to the topics included on a first year undergraduate course in mathematical economics. Orientated towards the needs of the student, the text is heavily illustrated, providing numerous exercises and examples throughout. |
| how economics became a mathematical science: The Making of the Economy Till Düppe, 2011-11-16 The Making of the Economy uses Husserl's critique of formalism in natural science in The Crisis of the European Sciences work as the template for an analogous critique of formalism in economic science. The historical narrative focuses on the emergence of formal economic analysis out of a series of successive life-worlds, or concrete historical situations. This generates new substantive understanding of both the historical material and the current discourse of crisis surrounding economics. It will appeal to historians and philosophers of economics, as well as scholars of history, philosophy, and sociology. |
| how economics became a mathematical science: How I Became a Quant Richard R. Lindsey, Barry Schachter, 2011-01-11 Praise for How I Became a Quant Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching! --Ira Kawaller, Kawaller & Co. and the Kawaller Fund A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions. --David A. Krell, President and CEO, International Securities Exchange How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis. --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management Quants--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution. |
| how economics became a mathematical science: Computational Economics Oscar Afonso, Paulo B. Vasconcelos, 2015-08-27 Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics. |
| how economics became a mathematical science: Where Economics Went Wrong David Colander, Craig Freedman, 2018-11-27 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. |
| how economics became a mathematical science: The Elgar Companion to Economics and Philosophy John Bryan Davis, Alain Marciano, Jochen Runde, 2005-01-01 . . . there are many first-rate contributions here. Those contributions make this collection valuable especially to readers who are already knowledgeable about the various areas in which the interests of philosophers and economists overlap. Daniel M. Hausman, Journal of Economic Methodology The Elgar Companion To Economics and Philosophy is a very good read. Every library should buy it now. John King, History of Economics Review The volume collects articles surveying developments in such related fields as economic methodology, ethics, epistemology, and social ontology. Many of the articles are forward-looking, and as such constitute substantive and original (and at times provocative) contributions to the literature. The volume as a whole is a success; the editors are to be congratulated for their efforts. Bruce J. Caldwell, University of North Carolina, Greensboro, US This Companion is called economics and philosophy but actually it is about the philosophy of economics and all the great questions in the subject are here. The weather in the philosophy of economics has been stormy lately and the climate continues to this day to be unsettled. Will the storms soon settle down to give way to calmer days? Read this excellent collection of informative papers in the field to stimulate your own answer to that question. Mark Blaug, University of London and University of Buckingham, UK The Elgar Companion to Economics and Philosophy aims to demonstrate exactly how these two important areas have always been linked, and to illustrate the key areas of overlap. The Companion is divided into distinct parts, each of which highlights a leading area of scholarly concern: political economy conceived as social philosophy; the methodology and epistemology of economics; and social ontology and the ontology of economics. The contributors are well-known and distinguished authors from a variety of disciplines, who have been invited both to survey and to provide a personal assessment of current and prospective future states of their respective areas of philosophical interest. Academics and students who have an interest in economics and philosophy, political philosophy and the history of ideas will find this book of great appeal, as will researchers working in the field and readers interested in the nature of the discipline of economics. |
| how economics became a mathematical science: Twilight of the Money Gods John Rapley, 2017-07-13 Imagine one day you went to a cash-machine and found your money was gone. You rushed to your branch, where a teller said that overnight people had stopped believing in money, and it all vanished. Seem incredible? It happened, and it could happen again. Twilight of the Money Gods is the story of economics, told not as the science it strove to be, but as the religion it became. Over two centuries, it searched for the hidden codes which would reveal the path to a promised land of material abundance. While its prophets, from Adam Smith to John Maynard Keynes and Milton Friedman, concerned themselves with the human condition, its priesthood gradually grew remote from its followers, until it lost sight of their tribulations. Today, amid a crisis of faith in their expertise, we must re-imagine an economics for a new era - one filled with both danger and opportunity. |
| how economics became a mathematical science: The Economics of Economists Alessandro Lanteri, Jack Vromen, 2014-06-05 Leading scholars investigate the profession of academic economics, with a focus on the intellectual environment and incentives for economic research. |
| how economics became a mathematical science: The Penguin History of Economics Roger E Backhouse, 2002-01-31 The definitive guide to the history of economic thought, fully revised twenty years after first publication Roger Backhouse's definitive guide takes the story of economic thinking from the ancient world to the present day, with a brand-new chapter on the twenty-first century and updates throughout to reflect the latest scholarship. Covering topics including globalisation, inequality, financial crises and the environment, Backhouse brings his breadth of expertise and a contemporary lens to this original and insightful exploration of economics, revealing how we got to where we are today. |
| how economics became a mathematical science: Representation and Structure in Economics Hsiang-Ke Chao, 2020-04-08 This book provides a methodological perspective on understanding the essential roles of econometric models in the theory and practice. Offering a comprehensive and comparative exposition of the accounts of models in both econometrics and philosophy of science, this work shows how econometrics and philosophy of science are interconnected while exploring the methodological insight of econometric modelling that can be added to modern philosophical thought. The notion of structure is thoroughly discussed throughout the book. The studies of the consumption function of Trygve Haavelmo, Richard Stone, Milton Friedman, David Hendry and Robert Lucas are taken as the case studies to investigate their methodological implications of model and structure. In addition to the semantic view of the scientific theories, various philosophical accounts concerning scientific models are used to shed light on the methodological nature of these consumption studies in economics. This book will be of great interest to scholars and students of methodology of economics and econometrics as well as anyone interested in the philosophy of science in an economic context. |
| how economics became a mathematical science: The Academy of Fisticuffs Sophus A. Reinert, 2018-12-28 The Italian Enlightenment, no less than the Scottish, was central to the emergence of political economy and creation of market societies. Sophus Reinert turns to Milan in the late 1700s to recover early socialists’ preoccupations with the often lethal tension among states, markets, and human welfare, and the policies these ideas informed. |
| how economics became a mathematical science: The Economics of Resource Allocation in Health Care Andrea Klonschinski, 2016-03-31 The question of how to allocate scarce medical resources has become an important public policy issue in recent decades. Cost-utility analysis is the most commonly used method for determining the allocation of these resources, but this book counters the argument that overcoming its inherent imbalances is simply a question of implementing methodological changes. The Economics of Resource Allocation in Health Care represents the first comprehensive analysis of equity weighting in health care resource allocation that offers a fundamental critique of its basic framework. It offers a critique of health economics, putting the discourse on economic evaluation into its broader socio-political context. Such an approach broadens the debate on fairness in health economics and ties it in with deeper-rooted problems in moral philosophy. Ultimately, this interdisciplinary study calls for the adoption of a fundamentally different paradigm to address the distribution of scarce medical resources. This book will be of interest to policy makers, health care professionals, and post-graduate students looking to broaden their understanding of the economics of the health care system. |
| how economics became a mathematical science: The Work of Theology Stanley Hauerwas, 2015 |
| how economics became a mathematical science: Cogs and Monsters Diane Coyle, 2023-04-11 How economics needs to change to keep pace with the twenty-first century and the digital economy Digital technology, big data, big tech, machine learning, and AI are revolutionizing both the tools of economics and the phenomena it seeks to measure, understand, and shape. In Cogs and Monsters, Diane Coyle explores the enormous problems—but also opportunities—facing economics today and examines what it must do to help policymakers solve the world’s crises, from pandemic recovery and inequality to slow growth and the climate emergency. Mainstream economics, Coyle says, still assumes people are “cogs”—self-interested, calculating, independent agents interacting in defined contexts. But the digital economy is much more characterized by “monsters”—untethered, snowballing, and socially influenced unknowns. What is worse, by treating people as cogs, economics is creating its own monsters, leaving itself without the tools to understand the new problems it faces. In response, Coyle asks whether economic individualism is still valid in the digital economy, whether we need to measure growth and progress in new ways, and whether economics can ever be objective, since it influences what it analyzes. Just as important, the discipline needs to correct its striking lack of diversity and inclusion if it is to be able to offer new solutions to new problems. Filled with original insights, Cogs and Monsters offers a road map for how economics can adapt to the rewiring of society, including by digital technologies, and realize its potential to play a hugely positive role in the twenty-first century. |
| how economics became a mathematical science: Maurice Dobb T. Shenk, 2013-12-17 This book explores the life of the man whom even his critics acknowledged was one of the world's most significant Communist economists. From his outpost at the University of Cambridge, where he was a protégé of John Maynard Keynes and mentor to students, Dobb made himself into one of British communism's premier intellectuals. |
| how economics became a mathematical science: The Dark Side of Nudges Maria Alejandra Madi, 2019-06-21 The concept of nudging has hit news headlines in recent years following the implementation of nudge policies in many parts of the world, the establishment of behavioural policy units in some countries, and the award of the Nobel Prize in Economics to the behavioural economist Richard Thaler in 2017. However, questions remain about whether nudging is an optimal approach to policy-making. This book presents a critical approach to the study of nudging to highlight the foundations, rationale and effects of current policy-making trends in the neoliberal age of behavioural economics. In this provocative book, the author presents a re-examination of the methodological foundations of behavioural economics and its consequences for addressing the deep social and economic policy challenges of our times. It is argued that, although the concept of nudge proposed by Richard Thaler and Cass Sunstein rejects the theorization of economic behaviour under models of strict rationality, nudge policies focus on methodological individualism in economic thinking and economic policy. The complexity of social and economic policy problems of the twenty-first century calls for a revision of our conceptual outlooks, and to increase recognition of the failure of methodological individualism in economics to address the unprecedented social, political, and environmental challenges of globalization. Offering a new take on the epistemological assumptions underlying behaviourally-informed policies, this book will prompt the general public to consider new ideas about the darker side of behavioural economics. |
| how economics became a mathematical science: ECONned: How Unenlightened Self Interest Undermined Democracy and Corrupted Capitalism Yves Smith, 2011-10-11 ECONned examines the unquestioned role of economists as policy-makers, and how they helped create an unmitigated economic disaster. Why are we in such a financial mess today? There are lots of proximate causes: over-leverage, global imbalances, bad financial technology that lead to widespread underestimation of risk. But these are all symptoms. Until we isolate and tackle fundamental causes, we will fail to extirpate the disease. Here, Yves Smith looks at how economists in key policy positions put doctrine before hard evidence, ignoring the deteriorating conditions and rising dangers that eventually led them, and us, off the cliff and into financial meltdown. Intelligently written for the layman, Smith takes us on a terrifying investigation of the financial realm over the last twenty-five years of misrepresentations, naive interpretations of economic conditions, rationalizations of bad outcomes, and rejection of clear signs of growing instability. In eConned, author Yves Smith reveals: --why the measures taken by the Obama Administration are mere palliatives and are unlikely to pave the way for a solid recovery --how economists have come to play a profoundly anti-democratic role in policy --how financial models and concepts that were discredited more than thirty years ago are still widely used by banks, regulators, and investors --how management and employees of major financial firms looted them, enriching themselves and leaving the mess to taxpayers --how financial deregulation enabled predatory behavior by Wall Street towards investors --how economics has no theory of financial systems, yet economists fearlessly prescribe how to manage them |
| how economics became a mathematical science: How Economics Should Be Done David C. Colander, Huei-chun Su, 2018-01-26 David Colander has been writing about economic methodology for over 30 years, but he goes out of his way to emphasize that he does not see himself as a methodologist. His pragmatic methodology is applicable to what economists are doing and attempts to answer questions that all economists face as they go about their work. The articles collected in this volume are divided, with the first part providing a framework underlying Colander’s methodology and introducing Colander’s methodology for economic policy within that framework. Part two presents Colander’s view on the methodology for microeconomics, while part three looks at Colander’s methodology for macroeconomics. The book closes with discussions of broader issues. |
| how economics became a mathematical science: Antonio Serra and the Economics of Good Government Sophus Reinert, Rosario Patalano, 2016-05-12 In this book some of the world's leading economists and experts on Serra explore the enduring appeal of his 1613 Breve trattato. |
| how economics became a mathematical science: Social Sciences and Cultural Studies Asunción Lopez-Varela Azcárate, 2012-09-19 This is a unique and groundbreaking collection of questions and answers coming from higher education institutions on diverse fields and across a wide spectrum of countries and cultures. It creates routes for further innovation, collaboration amidst the Sciences (both Natural and Social) and the Humanities and the private and the public sectors of society. The chapters speak across socio-cultural concerns, education, welfare and artistic sectors under the common desire for direct responses in more effective ways by means of interaction across societal structures. |
| how economics became a mathematical science: The Palgrave Handbook of the History of Human Sciences David McCallum, 2022-08-27 The Palgrave Handbook of the History of Human Sciences offers a uniquely comprehensive and global overview of the evolution of ideas, concepts and policies within the human sciences. Drawn from histories of the social and psychological sciences, anthropology, the history and philosophy of science, and the history of ideas, this collection analyses the health and welfare of populations, evidence of the changing nature of our local communities, cities, societies or global movements, and studies the way our humanness or ‘human nature’ undergoes shifts because of broader technological shifts or patterns of living. This Handbook serves as an authoritative reference to a vast source of representative scholarly work in interdisciplinary fields, a means of understanding patterns of social change and the conduct of institutions, as well as the histories of these ‘ways of knowing’ probe the contexts, circumstances and conditions which underpin continuity and change in the way we count, analyse and understand ourselves in our different social worlds. It reflects a critical scholarly interest in both traditional and emerging concerns on the relations between the biological and social sciences, and between these and changes and continuities in societies and conducts, as 21st century research moves into new intellectual and geographic territories, more diverse fields and global problematics. |
Economics - Wikipedia
Economics (/ ˌ ɛ k ə ˈ n ɒ m ɪ k s, ˌ iː k ə-/) [1] [2] is a behavioral science that studies the production, distribution, and consumption of goods and services. [3] [4] Economics focuses on …
Economics Defined With Types, Indicators, and Systems
Jun 28, 2024 · Economics is a branch of the social sciences focused on the production, distribution, and consumption of goods and services. Microeconomics is a type of economics …
Economics | Definition, History, Examples, Types, & Facts ...
May 12, 2025 · economics, social science that seeks to analyze and describe the production, distribution, and consumption of wealth. In the 19th century economics was the hobby of …
The A to Z of economics | The Economist
In economics, a transfer is a payment of money without any goods or services being exchanged in return. Governments make transfers in the form of welfare benefits but individuals make …
What is Economics? - American Economic Association
Economics can help us answer these questions. Below, we’ve provided links to short articles that illustrate what economics is and how it connects to our everyday lives. Economics can be …
Economics - Wikipedia
Economics (/ ˌ ɛ k ə ˈ n ɒ m ɪ k s, ˌ iː k ə-/) [1] [2] is a behavioral science that studies the production, distribution, and consumption of goods and services. [3] [4] Economics focuses on …
Economics Defined With Types, Indicators, and Systems
Jun 28, 2024 · Economics is a branch of the social sciences focused on the production, distribution, and consumption of goods and services. Microeconomics is a type of economics …
Economics | Definition, History, Examples, Types, & Facts ...
May 12, 2025 · economics, social science that seeks to analyze and describe the production, distribution, and consumption of wealth. In the 19th century economics was the hobby of …
The A to Z of economics | The Economist
In economics, a transfer is a payment of money without any goods or services being exchanged in return. Governments make transfers in the form of welfare benefits but individuals make …
What is Economics? - American Economic Association
Economics can help us answer these questions. Below, we’ve provided links to short articles that illustrate what economics is and how it connects to our everyday lives. Economics can be …
