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| economic models are built with: 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. |
| economic models are built with: Economic Modeling Using Artificial Intelligence Methods Tshilidzi Marwala, 2013-04-02 Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners. |
| economic models are built with: The Microeconomics of Complex Economies Wolfram Elsner, Torsten Heinrich, Henning Schwardt, 2014-04-15 The Microeconomics of Complex Economies uses game theory, modeling approaches, formal techniques, and computer simulations to teach useful, accessible approaches to real modern economies. It covers topics of information and innovation, including national and regional systems of innovation; clustered and networked firms; and open-source/open-innovation production and use. Its final chapter on policy perspectives and decisions confirms the value of the toolset. Written so chapters can be used independently, the book includes an introduction to computer simulation and pedagogical supplements. Its formal, accessible treatment of complexity goes beyond the scopes of neoclassical and mainstream economics. The highly interdependent economy of the 21st century demands a reconsideration of economic theories. - Describes the usefulness of complex heterodox economics - Emphasizes divergences and convergences with neoclassical economic theories and perspectives - Fits easily into courses on intermediate microeconomics, industrial organization, and games through self-contained chapters |
| economic models are built with: The Millionaire Real Estate Agent Gary Keller, Dave Jenks, Jay Papasan, 2004-04-01 Take your real estate career to the highest level! Whether you are just getting started or a veteran in the business, The Millionaire Real Estate Agent is the step-by-step handbook for seeking excellence in your profession and in your life. --Mark Victor Hansen, cocreator, #1 New York Times bestselling series Chicken Soup for the Soul This book presents a new paradigm for real estate and should be required reading for real estate professionals everywhere. --Robert T. Kiyosaki, New York Times bestselling author of Rich Dad, Poor Dad The Millionaire Real Estate Agent explains: Three concepts that drive production Economic, organizational, and lead generation models that are the foundations of any high-achiever's business How to Earn a Million, Net a Million, and Receive a Million in annual income |
| economic models are built with: Handbook of Computable General Equilibrium Modeling Peter B. Dixon, Dale Jorgenson, 2013-11-14 In this collection of 17 articles, top scholars synthesize and analyze scholarship on this widely used tool of policy analysis, setting forth its accomplishments, difficulties, and means of implementation. Though CGE modeling does not play a prominent role in top US graduate schools, it is employed universally in the development of economic policy. This collection is particularly important because it presents a history of modeling applications and examines competing points of view. - Presents coherent summaries of CGE theories that inform major model types - Covers the construction of CGE databases, model solving, and computer-assisted interpretation of results - Shows how CGE modeling has made a contribution to economic policy |
| economic models are built with: Causal Inference in Economic Models Stephen F. LeRoy, 2020-10-12 There exist applications in many research areas including (but not limited to) economics dealing with causation that are analyzed using multi-equation mathematical models. This book develops and describes a formal treatment of causation in such mathematical models. It serves to replace existing treatments of causation, which almost without exception are vague and otherwise unsatisfactory. Development of theory is accompanied here by extensive analysis of examples drawn from the economics literature: treatment evaluation, potential outcomes, applied econometrics. The theory outlined here will be extremely useful in economics and such related fields as biology and biomedicine. |
| economic models are built with: Coping with Complexity H W Gottinger, 1983-09-30 |
| economic models are built with: Model Building in Economics Lawrence A. Boland, 2014-09-15 Concern about the role and the limits of modeling has heightened after repeated questions were raised regarding the dependability and suitability of the models that were used in the run-up to the 2008 financial crash. In this book, Lawrence Boland provides an overview of the practices of and the problems faced by model builders to explain the nature of models, the modeling process, and the possibility for and nature of their testing. In a reflective manner, the author raises serious questions about the assumptions and judgments that model builders make in constructing models. In making his case, he examines the traditional microeconomics-macroeconomics separation with regard to how theoretical models are built and used and how they interact, paying particular attention to the use of equilibrium concepts in macroeconomic models and game theory and to the challenges involved in building empirical models, testing models, and using models to test theoretical explanations. |
| economic models are built with: Principles Ray Dalio, 2018-08-07 #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. |
| economic models are built with: The Oxford Handbook of Philosophy of Economics Harold Kincaid, Don Ross, 2009-03-26 This volume is the first comprehensive, cohesive, and accessible reference source to the philosophy of economics, presenting important new scholarship by top scholars. |
| economic models are built with: Global Economic History: A Very Short Introduction Robert C. Allen, 2011-09-15 Why are some countries rich and others poor? In 1500, the income differences were small, but they have grown dramatically since Columbus reached America. Since then, the interplay between geography, globalization, technological change, and economic policy has determined the wealth and poverty of nations. The industrial revolution was Britain's path breaking response to the challenge of globalization. Western Europe and North America joined Britain to form a club of rich nations by pursuing four polices-creating a national market by abolishing internal tariffs and investing in transportation, erecting an external tariff to protect their fledgling industries from British competition, banks to stabilize the currency and mobilize domestic savings for investment, and mass education to prepare people for industrial work. Together these countries pioneered new technologies that have made them ever richer. Before the Industrial Revolution, most of the world's manufacturing was done in Asia, but industries from Casablanca to Canton were destroyed by western competition in the nineteenth century, and Asia was transformed into 'underdeveloped countries' specializing in agriculture. The spread of economic development has been slow since modern technology was invented to fit the needs of rich countries and is ill adapted to the economic and geographical conditions of poor countries. A few countries - Japan, Soviet Russia, South Korea, Taiwan, and perhaps China - have, nonetheless, caught up with the West through creative responses to the technological challenge and with Big Push industrialization that has achieved rapid growth through investment coordination. Whether other countries can emulate the success of East Asia is a challenge for the future. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable. |
| economic models are built with: Economic Models of Tropical Deforestation: A Review David Kaimowitz, Arild Angelsen, 1998-01-01 Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research. |
| economic models are built with: Doughnut Economics Kate Raworth, 2018-03-08 Economics is the mother tongue of public policy. It dominates our decision-making for the future, guides multi-billion-dollar investments, and shapes our responses to climate change, inequality, and other environmental and social challenges that define our times. Pity then, or more like disaster, that its fundamental ideas are centuries out of date yet are still taught in college courses worldwide and still used to address critical issues in government and business alike. That’s why it is time, says renegade economist Kate Raworth, to revise our economic thinking for the 21st century. In Doughnut Economics, she sets out seven key ways to fundamentally reframe our understanding of what economics is and does. Along the way, she points out how we can break our addiction to growth; redesign money, finance, and business to be in service to people; and create economies that are regenerative and distributive by design. Named after the now-iconic “doughnut” image that Raworth first drew to depict a sweet spot of human prosperity (an image that appealed to the Occupy Movement, the United Nations, eco-activists, and business leaders alike), Doughnut Economics offers a radically new compass for guiding global development, government policy, and corporate strategy, and sets new standards for what economic success looks like. Raworth handpicks the best emergent ideas—from ecological, behavioral, feminist, and institutional economics to complexity thinking and Earth-systems science—to address this question: How can we turn economies that need to grow, whether or not they make us thrive, into economies that make us thrive, whether or not they grow? Simple, playful, and eloquent, Doughnut Economics offers game-changing analysis and inspiration for a new generation of economic thinkers. |
| economic models are built with: Eminent Economists II Michael Szenberg, Lall Ramrattan, 2014-02-24 This book presents the ideas of some of the most outstanding economists of the past half century. |
| economic models are built with: Economics Rules: The Rights and Wrongs of the Dismal Science Dani Rodrik, 2015-10-13 “A hugely valuable contribution. . . . In setting out a defence of the best in economics, Rodrik has also provided a goal for the discipline as a whole.” —Martin Sandbu, Financial Times In the wake of the financial crisis and the Great Recession, economics seems anything but a science. In this sharp, masterfully argued book, Dani Rodrik, a leading critic from within, takes a close look at economics to examine when it falls short and when it works, to give a surprisingly upbeat account of the discipline. Drawing on the history of the field and his deep experience as a practitioner, Rodrik argues that economics can be a powerful tool that improves the world—but only when economists abandon universal theories and focus on getting the context right. Economics Rules argues that the discipline's much-derided mathematical models are its true strength. Models are the tools that make economics a science. Too often, however, economists mistake a model for the model that applies everywhere and at all times. In six chapters that trace his discipline from Adam Smith to present-day work on globalization, Rodrik shows how diverse situations call for different models. Each model tells a partial story about how the world works. These stories offer wide-ranging, and sometimes contradictory, lessons—just as children’s fables offer diverse morals. Whether the question concerns the rise of global inequality, the consequences of free trade, or the value of deficit spending, Rodrik explains how using the right models can deliver valuable new insights about social reality and public policy. Beyond the science, economics requires the craft to apply suitable models to the context. The 2008 collapse of Lehman Brothers challenged many economists' deepest assumptions about free markets. Rodrik reveals that economists' model toolkit is much richer than these free-market models. With pragmatic model selection, economists can develop successful antipoverty programs in Mexico, growth strategies in Africa, and intelligent remedies for domestic inequality. At once a forceful critique and defense of the discipline, Economics Rules charts a path toward a more humble but more effective science. |
| economic models are built with: The Methodology of Economic Model Building (Routledge Revivals) Lawrence A. Boland, 2014-05-01 The major methodological task for modern economists has been to establish the testability of models. Too often, however, methodological assumptions can make a model virtually impossible to test even under ideal conditions, yet few theorists have examined the requirements and problems of assuring testability in economics. In The Methodology of Economic Model Building, first published in 1989, Lawrence Boland presents the results of a research project that spanned more than twenty years. He examines how economists have applied the philosophy of Karl Popper, relating methodological debates about falsifiability to wider discussions about the truth status of models in natural and social sciences. He concludes that model building in economics reflects more the methodological prescriptions of the economist Paul Samuelson than Popper’s ‘falsificationism’. This title will prove invaluable to both students and researchers, and represents a substantial contribution to debates about the scientific status of economics. |
| economic models are built with: Economic Ideas You Should Forget Bruno S. Frey, David Iselin, 2017-03-08 Reporting on cutting-edge advances in economics, this book presents a selection of commentaries that reveal the weaknesses of several core economics concepts. Economics is a vigorous and progressive science, which does not lose its force when particular parts of its theory are empirically invalidated; instead, they contribute to the accumulation of knowledge. By discussing problematic theoretical assumptions and drawing on the latest empirical research, the authors question specific hypotheses and reject major economic ideas from the “Coase Theorem” to “Say’s Law” and “Bayesianism.” Many of these ideas remain prominent among politicians, economists and the general public. Yet, in the light of the financial crisis, they have lost both their relevance and supporting empirical evidence. This fascinating and thought-provoking collection of 71 short essays written by respected economists and social scientists from all over the world will appeal to anyone interested in scientific progress and the further development of economics. |
| economic models are built with: Economics Rules Dani Rodrik, 2015 A leading economist trains a lens on his own discipline to uncover when it fails and when it works. |
| economic models are built with: The Economics of Artificial Intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb, Catherine Tucker, 2024-03-05 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. |
| economic models are built with: Cogs and Monsters Diane Coyle, 2021-10-12 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. |
| economic models are built with: Taking the Floor Daniel Beunza, 2021-07-13 An inside look at a Wall Street trading room and what this reveals about today’s financial system Debates about financial reform have led to the recognition that a healthy financial system doesn’t depend solely on how it is structured—organizational culture matters as well. Based on extensive research in a Wall Street derivatives-trading room, Taking the Floor considers how the culture of financial organizations might change in order for them to remain healthy, even in times of crises. In particular, Daniel Beunza explores how the extensive use of financial models and trading technologies over the recent decades has exerted a far-ranging and troubling influence on Wall Street. How have models reshaped financial markets? How have models altered moral behavior in organizations? Beunza takes readers behind the scenes in a bank unit that, within its firm, is widely perceived to be “a class act,” and he considers how this trading room unit might serve as a blueprint solution for the ills of Wall Street’s unsustainable culture. Beunza demonstrates that the integration of traders across desks reduces the danger of blind spots created by models. Warning against the risk of moral disengagement posed by the use of models, he also contends that such disengagement could be avoided by instituting moral norms and social relations. Providing a unique perspective on a complex subject, Taking the Floor profiles what an effective, responsible trading room can and should look like. |
| economic models are built with: Philosophy of Economics Uskali Mäki, 2012-06-12 Part of the Handbook of the Philosophy of Science Series edited by: Dov M. Gabbay King's College, London, UK; Paul Thagard University of Waterloo, Canada; and John Woods University of British Columbia, Canada. Philosophy of Economics investigates the foundational concepts and methods of economics, the social science that analyzes the production, distribution and consumption of goods and services. This groundbreaking collection, the most thorough treatment of the philosophy of economics ever published, brings together philosophers, scientists and historians to map out the central topics in the field. The articles are divided into two groups. Chapters in the first group deal with various philosophical issues characteristic of economics in general, including realism and Lakatos, explanation and testing, modeling and mathematics, political ideology and feminist epistemology. Chapters in the second group discuss particular methods, theories and branches of economics, including forecasting and measurement, econometrics and experimentation, rational choice and agency issues, game theory and social choice, behavioral economics and public choice, geographical economics and evolutionary economics, and finally the economics of scientific knowledge. This volume serves as a detailed introduction for those new to the field as well as a rich source of new insights and potential research agendas for those already engaged with the philosophy of economics. Provides a bridge between philosophy and current scientific findings Encourages multi-disciplinary dialogue Covers theory and applications |
| economic models are built with: Encyclopedia of Health Economics , 2014-02-21 The Encyclopedia of Health Economics offers students, researchers and policymakers objective and detailed empirical analysis and clear reviews of current theories and polices. It helps practitioners such as health care managers and planners by providing accessible overviews into the broad field of health economics, including the economics of designing health service finance and delivery and the economics of public and population health. This encyclopedia provides an organized overview of this diverse field, providing one trusted source for up-to-date research and analysis of this highly charged and fast-moving subject area. Features research-driven articles that are objective, better-crafted, and more detailed than is currently available in journals and handbooks Combines insights and scholarship across the breadth of health economics, where theory and empirical work increasingly come from non-economists Provides overviews of key policies, theories and programs in easy-to-understand language |
| economic models are built with: Misbehaving: The Making of Behavioral Economics Richard H. Thaler, 2015-05-11 Winner of the Nobel Prize in Economics Get ready to change the way you think about economics. Nobel laureate Richard H. Thaler has spent his career studying the radical notion that the central agents in the economy are humans—predictable, error-prone individuals. Misbehaving is his arresting, frequently hilarious account of the struggle to bring an academic discipline back down to earth—and change the way we think about economics, ourselves, and our world. Traditional economics assumes rational actors. Early in his research, Thaler realized these Spock-like automatons were nothing like real people. Whether buying a clock radio, selling basketball tickets, or applying for a mortgage, we all succumb to biases and make decisions that deviate from the standards of rationality assumed by economists. In other words, we misbehave. More importantly, our misbehavior has serious consequences. Dismissed at first by economists as an amusing sideshow, the study of human miscalculations and their effects on markets now drives efforts to make better decisions in our lives, our businesses, and our governments. Coupling recent discoveries in human psychology with a practical understanding of incentives and market behavior, Thaler enlightens readers about how to make smarter decisions in an increasingly mystifying world. He reveals how behavioral economic analysis opens up new ways to look at everything from household finance to assigning faculty offices in a new building, to TV game shows, the NFL draft, and businesses like Uber. Laced with antic stories of Thaler’s spirited battles with the bastions of traditional economic thinking, Misbehaving is a singular look into profound human foibles. When economics meets psychology, the implications for individuals, managers, and policy makers are both profound and entertaining. Shortlisted for the Financial Times & McKinsey Business Book of the Year Award |
| economic models are built with: Introduction to Computable General Equilibrium Models Mary E. Burfisher, 2016 The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level. |
| economic models are built with: Capitalism without Capital Jonathan Haskel, Stian Westlake, 2018-10-16 Early in the twenty-first century, a quiet revolution occurred. For the first time, the major developed economies began to invest more in intangible assets, like design, branding, and software, than in tangible assets, like machinery, buildings, and computers. For all sorts of businesses, the ability to deploy assets that one can neither see nor touch is increasingly the main source of long-term success. But this is not just a familiar story of the so-called new economy. Capitalism without Capital shows that the growing importance of intangible assets has also played a role in some of the larger economic changes of the past decade, including the growth in economic inequality and the stagnation of productivity. Jonathan Haskel and Stian Westlake explore the unusual economic characteristics of intangible investment and discuss how an economy rich in intangibles is fundamentally different from one based on tangibles. Capitalism without Capital concludes by outlining how managers, investors, and policymakers can exploit the characteristics of an intangible age to grow their businesses, portfolios, and economies. |
| economic models are built with: Economic Modeling and Inference Bent Jesper Christensen, Nicholas M. Kiefer, 2009 Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity. Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. Covers identification and estimation of dynamic programming models Treats sources of error--measurement error, random utility, and imperfect control Features financial applications including asset pricing, option pricing, and optimal hedging Describes labor applications including job search, equilibrium search, and retirement Illustrates the wide applicability of the approach using micro, macro, and marketing examples |
| economic models are built with: The Craft of Economic Modeling Clopper Almon, 2017-07 This book is a practical guide to building economic models both macroeconomic and multisectoral. It uses free software available from the Internet together with regularly updated databanks including the quarterly national accounts of the United States and other quarterly data. It assumes no prior acquaintance with econometrics or computer programming, but does assume a willingness to follow a mathematical argument. Much of the text has often been used in college teaching. The book begins with a very simple model that can be computed with a hand calculator or cell phone. The model has, however, a nonlinearity in the investment function and shows how a nonlinearity can lead to a model with a cycle which neither damps out nor explodes. It then moves to models built with real data in the framework of the U.S. National Income and Product Accounts and develops the important concept of identity-centered modeling. Once the identities are are working properly, the modeler can proceed to the estimation of equations by least-squares regressions. Gradually the reader is led to the construction of a model roughly comparable to those used by commercial economic forecasting firms. At every step of the way, the reader sees results of calculations with real data and is urged to estimate his or her own equations with real, up-to-date data. The second section explores making alternative forecasts with this model and devising optimal economic policies with its aid. It also explores the range of uncertainty of the forecasts due to known variability of the errors in its equations. A rather long chapter expounds some conventional econometric methods and applies them to real data to both illustrate them and evaluate their usefulness. Although most of the book uses equations which are linear in the parameters which must be estimated, some functions very useful for certain purposes in economics are non-linear in the parameters. A chapter is devoted to their estimation. Most of the book uses the relatively simple U.S. system of national accounts, but one chapter deals with modeling with the more complicated System of National Accounts used by most other countries. Like the economy itself, dynamic models such as those built here have a tendency to develop cycles. One chapter looks into the mathematical theory of why that is so. The third section enlarges the scope of the book to include multisectoral models. Although here the model actually built is a tiny one of 8-sectors with made-up data, the methods employed are exactly those of the Inforum models used in a number of countries around the world. Multi-sectoral models can use many of the same techniques used for macromodels, but there are some additional problems. One of these is the estimation of personal consumption functions where the demand for any one product depends not only on its price but those of all other products. One method which has worked better than others is explained and the results of its estimation in four countries are presented and compared. Another problem is the computation of product-to-product tables from those constructed by statistical agencies. The book does not explain Real Business Cycle models, nor Computable General Equilibrium models, nor Dynamic Stochastic General Equilibrium models, which are all, in the author's opinion, unrealistic fads, not serious ways of modeling an economy.. |
| economic models are built with: Connected Healthcare for the Citizen Robert Picard, 2018-11-23 Value of Connected Things for Healthcare is based on feedback from members of the LLSA Forum, patients, healthcare professionals, Living Labs, industrialists, researchers and institutional actors confronted with the design, development, implementation and use of these types of tools that penetrate health and communicate data. The term connected object refers to devices that continuously collect data through these objects, providing the state of health of people wherever they are and whatever they do. These objects allow clinical researchers to study new phenomena that have hitherto escaped observations in institutions. However, the mobilization of these technologies in this context poses technical questions because the requirements of a remote, continuous operation are high. What is termed connected health emphasizes the human dimension of the subject, i.e., citizens, patients, health professionals, territorial communities, professional networks, institutions and associations. The questions of who benefits and ethical considerations are paramount to this discussion. - Brings awareness of the complexity of connected objects - Presents examples that highlight the use of connected codes - Describes new devices and related services - Identifies the challenges associated with solving these problems |
| economic models are built with: 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. |
| economic models are built with: Indigenous Economics Ronald L. Trosper, 2022-08-23 What does “development” mean for Indigenous peoples? Indigenous Economics lays out an alternative path showing that conscious attention to relationships among humans and the natural world creates flourishing social-ecological economies. Economist Ronald L. Trosper draws on examples from North and South America, Aotearoa/New Zealand, and Australia to argue that Indigenous worldviews centering care and good relationships provide critical and sustainable economic models in a world under increasing pressure from biodiversity loss and climate change. He explains the structure of relational Indigenous economic theory, providing principles based on his own and others’ work with tribal nations and Indigenous communities. Trosper explains how sustainability is created at every level when relational Indigenous economic theory is applied—micro, meso, and macro. Good relationships support personal and community autonomy, replacing the individualism/collectivism dichotomy with relational leadership and entrepreneurship. Basing economies on relationships requires changing governance from the top-down approaches of nation-states and international corporations; instead, each community creates its own territorial relationships, creating plurinational relational states. This book offers an important alternative to classic economic theory. In Indigenous Economics, support for Indigenous communities’ development and Indigenous peoples’ well-being go hand-in-hand. Publication of this book is made possible in part by the Alfred P. Sloan Foundation Program in Public Understanding of Science. |
| economic models are built with: Multiregional Economic Modeling Boris Issaev, 1982 |
| economic models are built with: Computational Interaction Antti Oulasvirta, Per Ola Kristensson, Xiaojun Bi, Andrew Howes, 2018 This book introduces a new perspective on how to design user interfaces called Computational Interaction. This new method applies principles of computational thinking (abstraction, automation and analysis) to inform our understanding of how people interact with user interfaces. |
| economic models are built with: Problems in Microeconomics Marcia L. Stigum, 1975 |
| economic models are built with: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| economic models are built with: Energy from Waste Paul Breeze, 2017-10-27 Energy from Waste is a concise, up-to-date and accessible guide on how to create power from both urban and industrial waste. The book explores the types of waste that, instead of going to landfill, can be converted to energy, also discussing the most up-to-date technologies for doing so. The book contains a strong emphasis on the related environmental impacts and economic factors involved in the various methods of generating electricity, making this a valuable and insightful read for those involved in the management and conversion of waste, including energy engineers, managers and technicians. - Explores both urban and industrial waste, its composition and how it is collected, enabling readers to better understand which power generation technologies can be used to convert it into power - Discusses the most up-to-date technologies, along with the impacts they have on the environment, including solid residue, chemicals and dust from the flue-gas treatment (and the flue gas itself) - Evaluates the economic impact of converting energy from waste and implementing and managing waste plants |
| economic models are built with: Specialization and Trade Arnold Kling, 2016-06-14 Since the end of the second World War, economics professors and classroom textbooks have been telling us that the economy is one big machine that can be effectively regulated by economic experts and tuned by government agencies like the Federal Reserve Board. It turns out they were wrong. Their equations do not hold up. Their policies have not produced the promised results. Their interpretations of economic events -- as reported by the media -- are often of-the-mark, and unconvincing. A key alternative to the one big machine mindset is to recognize how the economy is instead an evolutionary system, with constantly-changing patterns of specialization and trade. This book introduces you to this powerful approach for understanding economic performance. By putting specialization at the center of economic analysis, Arnold Kling provides you with new ways to think about issues like sustainability, financial instability, job creation, and inflation. In short, he removes stiff, narrow perspectives and instead provides a full, multi-dimensional perspective on a continually evolving system. |
| economic models are built with: Models of Political Economy Hannu Nurmi, 2006-10-13 Models of Political Economy will introduce students to the basic methodology of political economics. It covers all core theories as well as new developments including: decision theory game theory mechanism design games of asymmetric information. Hannu Nurmi's text will prove to be invaluable to all students who wish to understand this increasingly technical field. |
| economic models are built with: The Craft of Economics Edward E. Leamer, 2012-01-06 A review of the Heckscher–Ohlin framework prompts a noted economist to consider the methodology of economics. In this spirited and provocative book, Edward Leamer turns an examination of the Heckscher–Ohlin framework for global competition into an opportunity to consider the craft of economics: what economists do, what they should do, and what they shouldn't do. Claiming “a lifetime relationship with Heckscher–Ohlin,” Leamer argues that Bertil Ohlin's original idea offered something useful though vague and not necessarily valid; the economists who later translated his ideas into mathematical theorems offered something precise and valid but not necessarily useful. He argues further that the best economists keep formal and informal thinking in balance. An Ohlinesque mostly prose style can let in faulty thinking and fuzzy communication; a mostly math style allows misplaced emphasis and opaque communication. Leamer writes that today's model- and math-driven economics needs more prose and less math. Leamer shows that the Heckscher–Ohlin framework is still useful, and that there is still much work to be done with it. But he issues a caveat about economists: “What we do is not science, it's fiction and journalism.” Economic theory, he writes, is fiction (stories, loosely connected to the facts); data analysis is journalism (facts, loosely connected to the stories). Rather than titling the two sections of his book Theory and Evidence, he calls them Economic Fiction and Econometric Journalism, explaining, “If you find that startling, that's good. I am trying to keep you awake.” |
| economic models are built with: Socio-economic Models in Geography Richard J. Chorley, Peter Haggett, 1967 |
Publications | World Economic Forum
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The Future of Jobs Report 2025 | World Economic Forum
Jan 7, 2025 · General economic slowdown, to a lesser extent, also remains top of mind and is expected to transform 42% of businesses. Inflation is predicted to have a mixed outlook for net …
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The World Economic Forum
5 days ago · Learn about World Economic Forum's latest work and impact through the latest key messages on our Homepage.
5 economists on long-term economic trends | World Economic …
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Global Risks Report 2025 | World Economic Forum
Jan 15, 2025 · The 20th edition of the Global Risks Report 2025 reveals an increasingly fractured global landscape, where escalating geopolitical, environmental, societal and technological …
World Economic Forum Announces Governance Transition
Apr 21, 2025 · The Board of Trustees of the World Economic Forum underlines the importance of remaining steadfast in its mission and values as a facilitator of progress. Building on its trusted …
Publications | World Economic Forum
4 days ago · The World Economic Forum publishes a comprehensive series of reports which examine in detail the broad range of global issues it seeks to address with stakeholders as …
The Future of Jobs Report 2025 | World Economic Forum
Jan 7, 2025 · General economic slowdown, to a lesser extent, also remains top of mind and is expected to transform 42% of businesses. Inflation is predicted to have a mixed outlook for net …
Chief Economists Outlook: May 2025 | World Economic Forum
May 28, 2025 · The May 2025 Chief Economists Outlook explores key trends in the global economy, including the latest outlook for growth, inflation, monetary and fiscal policy. It …
Davos 2025: What to expect and who's coming? | World Economic …
Dec 9, 2024 · The 2025 Annual Meeting of the World Economic Forum takes place from 20-24 January in Davos, Switzerland. The meeting convenes under the title Collaboration for the …
US trade policy turmoil shakes the global economy, and other key ...
Apr 15, 2025 · A new UN report warned that many countries in the Asia-Pacific region remain ill-prepared for climate-related economic shocks. The IMF-World Bank Spring Meetings are fast …
The World Economic Forum
5 days ago · Learn about World Economic Forum's latest work and impact through the latest key messages on our Homepage.
5 economists on long-term economic trends | World Economic …
Apr 15, 2025 · The economic divisions have only been heightening in recent months as the US has implemented steep tariffs on major trading partners, kicking off a cycle of tit-for-tat trade …
Chief Economists Warn Global Growth Under Strain from Trade …
May 28, 2025 · Artificial intelligence (AI) is poised to drive the next wave of economic transformation, unlocking significant growth potential but also introducing serious risks. Nearly …
Global Risks Report 2025 | World Economic Forum
Jan 15, 2025 · The 20th edition of the Global Risks Report 2025 reveals an increasingly fractured global landscape, where escalating geopolitical, environmental, societal and technological …
World Economic Forum Announces Governance Transition
Apr 21, 2025 · The Board of Trustees of the World Economic Forum underlines the importance of remaining steadfast in its mission and values as a facilitator of progress. Building on its trusted …
