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| economics for decision making: Economic Decision Making Using Cost Data Daniel Marburger, 2013-08-01 A firm maximizes profits if each decision adds more to the firm’s revenue than to its costs. Although the concept sounds rather simple, it is difficult to do in practice. To ease this difficulty, the authors are giving you the inside knowledge to “economic theory.” This book will help you understand economic theory and much more to accurately infer changes in revenues that may be associated with a decision. And since economic theory suggests that the costs reported by accountants rarely reflect the true cost associated with the decision, this book will help you understand how to assess the changes in revenues and costs. Demand and price sensitivity analysis allow you to infer revenue changes, and this book helps you reconcile the economic theory of cost with common accounting practices so the differences can be reconciled and better decisions can be made. |
| economics for decision making: Economic Decision Making Sisay Asefa, 1985 |
| economics for decision making: Economic Decision-making Jean Jaskold Gabszewicz, Jean François Richard, Laurence A. Wolsey, 1990 This collection of articles illustrates the interplay between economic and game theory, econometrics and optimisation in economic decision making. The contributions from these three areas are presented in honour of Jacques Dregrave;ze and are inspired by his vision of how these disciplines can and should interact. The material illustrates how each of the disciplines has evolved over the last twenty years, and emphasizes the continuous need for interdisciplinary approaches to economic decision-making. |
| economics for decision making: Probability Models for Economic Decisions, second edition Roger B. Myerson, Eduardo Zambrano, 2019-12-17 An introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty. This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and multivariate normal random variables; conditional expectation; optimization of decision variables, with discussions of the strategic value of information, decision trees, game theory, and adverse selection; risk sharing and finance; dynamic models of growth; dynamic models of arrivals; and model risk. New material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of probabilistic electoral forecasting, and real options. The book comes equipped with Simtools, an open-source, free software used througout the book, which allows students to conduct Monte Carlo simulations seamlessly in Excel. |
| economics for decision making: Managerial Economics Floyd E. Gillis, 1969 |
| economics for decision making: Business Economics and Managerial Decision Making Trefor Jones, 2004-06-07 Written primarily for students taking courses in managerial economics in Britain and Europe, The Business Economics and Managerial Decision Making analyses the growth and development of privately owned firms and also the decisions made by firms operating in both private and public sector enterprises. Coverage is clear and concise, and avoids specialist techniques such as linear programming, which in a European context tend to belong in courses dealing with operations research. The book also avoids straying into areas of industrial economics, instead retaining a sharp focus on relevant issues such as the theory of the firm and the varying objectives that may be adopted in practice. Key sections are supported by case studies of real firms and actual decisions made. |
| economics for decision making: Neuroeconomics Paul W. Glimcher, 2013-08-13 In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two decades in this rapidly expanding academic discipline. The first of these sections provides useful introductions to the disciplines of microeconomics, the psychology of judgment and decision, computational neuroscience, and anthropology for scholars and students seeking interdisciplinary breadth. The second section provides an overview of how human and animal preferences are represented in the mammalian nervous systems. Chapters on risk, time preferences, social preferences, emotion, pharmacology, and common neural currencies—each written by leading experts—lay out the foundations of neuroeconomic thought. The third section contains both overview and in-depth chapters on the fundamentals of reinforcement learning, value learning, and value representation. The fourth section, The Neural Mechanisms for Choice, integrates what is known about the decision-making architecture into state-of-the-art models of how we make choices. The final section embeds these mechanisms in a larger social context, showing how these mechanisms function during social decision-making in both humans and animals. The book provides a historically rich exposition in each of its chapters and emphasizes both the accomplishments and the controversies in the field. A clear explanatory style and a single expository voice characterize all chapters, making core issues in economics, psychology, and neuroscience accessible to scholars from all disciplines. The volume is essential reading for anyone interested in neuroeconomics in particular or decision making in general. - Editors and contributing authors are among the acknowledged experts and founders in the field, making this the authoritative reference for neuroeconomics - Suitable as an advanced undergraduate or graduate textbook as well as a thorough reference for active researchers - Introductory chapters on economics, psychology, neuroscience, and anthropology provide students and scholars from any discipline with the keys to understanding this interdisciplinary field - Detailed chapters on subjects that include reinforcement learning, risk, inter-temporal choice, drift-diffusion models, game theory, and prospect theory make this an invaluable reference - Published in association with the Society for Neuroeconomics—www.neuroeconomics.org - Full-color presentation throughout with numerous carefully selected illustrations to highlight key concepts |
| economics for decision making: Handbook of Behavioural Economics and Smart Decision-Making Morris Altman, 2017-05-26 This Handbook is a unique and original contribution of over thirty chapters on behavioural economics, examining and addressing an important stream of research where the starting assumption is that decision-makers are for the most part relatively smart or rational. This particular approach is in contrast to a theme running through much contemporary work where individuals’ behaviour is deemed irrational, biased, and error-prone, often due to how people are hardwired. In the smart people approach, where errors or biases occur and when social dilemmas arise, more often than not, improving the decision-making environment can repair these problems without hijacking or manipulating the preferences of decision-makers. This book covers a wide-range of themes from micro to macro, including various sub-disciplines within economics such as economic psychology, heuristics, fast and slow-thinking, neuroeconomics, experiments, the capabilities approach, institutional economics, methodology, nudging, ethics, and public policy. |
| economics for decision making: Real-World Decision Making Morris Altman, 2015-06-23 The main point of this encyclopedia is to provide a comprehensive set of definitions and explanations of key concepts in behavioral economics provided by respected researchers. Written by those who are publishing in the field, the encyclopedia entries are rigorous, timely, and up-to-date. For those interested in the increasingly important area of behavioral economics and the related fields of economic psychology, and institutional, evolutionary, and experimental economics, this volume provides conceptual clarifications and insights. Moreover, the various entries are largely written in plain English to be easily understandable to scholars from across the disciplinary divide, students at different stages of their education, as well to public policy experts, journalists, politicians, and members of the general public. All entries include references for those interested in venturing further into the realm of behavioral economics.--From Preface. |
| economics for decision making: What Pet Should I Get? Dr. Seuss, 2024-07-16 Pick a pet with Dr. Seuss with this bestselling and silly tail of cats, dogs and more! A dog or a cat? A fish or a bird? Or maybe a crazy creature straight from the mind of Dr. Seuss! Which pet would YOU get? A trip to the pet store turns into a hilarious struggle when two kids must choose one pet to take home... but everytime they think they see an animal they like, they find something even better! Perfect for animal lovers and Seuss lover alike, this book will delight readers young and old. Discovered 22 years after Dr. Seuss's death, the unpublished manuscript and sketches for What Pet Should I Get? were previously published as a 48-page jacketed hardcover with 8 pages of commentary. This unjacketed Beginner Book edition features the story only. The cat? Or the dog? The kitten? The pup? Oh, boy! It is something to make a mind up. Beginner Books are fun, funny, and easy to read! Launched by Dr. Seuss in 1957 with the publication of The Cat in the Hat, this beloved early reader series motivates children to read on their own by using simple words with illustrations that give clues to their meaning. Featuring a combination of kid appeal, supportive vocabulary, and bright, cheerful art, Beginner Books will encourage a love of reading in children ages 3–7. |
| economics for decision making: How Behavioral Economics Influences Management Decision-Making Kelly Monahan, 2018-07-20 How Behavioral Economics Influences Management Decision-Making: A New Paradigm critically reexamines the management function in 21st century workplaces. The book seeks to examine and explain the real-world behaviors of employees and acknowledge the human nature that binds us all together and how to appeal to these characteristics in order to help organizations prosper. It explores well-observed but rarely understood features of employee cognition and irrationality, challenging the dominant discourse and offering an alternative to gain greater competitive advantage in today's complex markets. It also provides an effective new framework on the best ways to develop relevant management skills as they pertain to hiring, performance management, change management, employee engagement, and goal setting. As the knowledge economy continues to grow, the social bonds within companies will prove to be a key differentiation to deliver on the next big idea. Developing productive decisions with staff in the talent-driven global economy increasingly requires the development of intrinsic meaning in work, a human-centered work-place culture, and human-focused working practices. This book tackles these topics in comprehensive and efficient detail. - Provides a framework to simply and effectively apply behavioral principles in organizations of any size - Focuses on agent motivations and behavior and how they directly impact talent management in the knowledge economy - Highlights empirical studies, detailing the impact of heuristics on hiring, performance management, change management, employee engagement, and goal-setting decisions |
| economics for decision making: The Psychology of Economic Decisions Isabelle Brocas, Juan D. Carrillo, 2003 This volume provides a point of entry for anyone interested in the interface between economics and psychology.--BOOK JACKET. |
| economics for decision making: Aspiration Levels in Bargaining and Economic Decision Making Reinhard Tietz, 1983 |
| economics for decision making: Neuroscience and the Economics of Decision Making Alessandro Innocenti, Angela Sirigu, 2012 In the last two decades there has been a flourishing research carried out jointly by economists, psychologists and neuroscientists. This meltdown of competences has lead towards original approaches to investigate the mental and cognitive mechanisms involved in the way the economic agent collects, processes and uses information to make choices. This research field involves a new kind of scientist, trained in different disciplines, familiar in managing experimental data, and with the mathematical foundations of decision making. The ultimate goal of this research is to open the black-box to understandthe behavioural and neural processes through which humans set preferences and translate these behaviours into optimal choices. This volume intends to bring forward new results and fresh insights into this matter. |
| economics for decision making: Managerial Economics Milton H. Spencer, Louis Siegelman, 1964 |
| economics for decision making: Business Strategy The Economist, Jeremy Kourdi, 2015-05-26 The effectiveness of a good strategy well implemented determines a business' future success or failure. Yet history is full of strategic decisions, big and small, that were ill-conceived, poorly organized and consequently disastrous. This updated guide looks at the whole process of strategic decision-making, from vision, forecasting, and resource allocation, through to implementation and innovation. Strategy is about understanding where you are now, where you are heading and how you will get there. There is no room for timidity or confusion. Although the CEO and the board decide a company's overall direction, it is the managers at all levels of the organization who will determine how the vision can be transformed into action. In short, everyone is involved in strategy. But getting it right involves difficult choices: which customers to target, what products to offer, and the best way to keep costs low and service high. And constantly changing business conditions inevitably bring risks. Even after business strategy has been developed, a company must remain nimble and alert to change, and view strategy as an ongoing and evolving process. The message of this guide is simple: strategy matters, and getting it right is fundamental to business success. |
| economics for decision making: Economics for Investment Decision Makers Christopher D. Piros, Jerald E. Pinto, 2013-03-05 The economics background investors need to interpret global economic news distilled to the essential elements: A tool of choice for investment decision-makers. Written by a distinguished academics and practitioners selected and guided by CFA Institute, the world’s largest association of finance professionals, Economics for Investment Decision Makers is unique in presenting microeconomics and macroeconomics with relevance to investors and investment analysts constantly in mind. The selection of fundamental topics is comprehensive, while coverage of topics such as international trade, foreign exchange markets, and currency exchange rate forecasting reflects global perspectives of pressing investor importance. Concise, plain-English introduction useful to investors and investment analysts Relevant to security analysis, industry analysis, country analysis, portfolio management, and capital market strategy Understand economic news and what it means All concepts defined and simply explained, no prior background in economics assumed Abundant examples and illustrations Global markets perspective |
| economics for decision making: Handbook of the Fundamentals of Financial Decision Making Leonard C. MacLean, William T. Ziemba, 2013 This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006). |
| economics for decision making: Decision Economics: Complexity of Decisions and Decisions for Complexity Edgardo Bucciarelli, Shu-Heng Chen, Juan Manuel Corchado, 2020-02-07 This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds) |
| economics for decision making: 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. |
| economics for decision making: Games and Decision Making Charalambos D. Aliprantis, Subir K. Chakrabarti, 2011 Games and Decision Making, Second Edition, is a unique blend of decision theory and game theory. From classical optimization to modern game theory, authors Charalambos D. Aliprantis and Subir K. Chakrabarti show the importance of mathematical knowledge in understanding and analyzing issues in decision making. Through an imaginative selection of topics, Aliprantis and Chakrabarti treat decision and game theory as part of one body of knowledge. They move from problems involving the individual decision-maker to progressively more complex problems such as sequential rationality, auctions, and bargaining. By building each chapter on material presented earlier, the authors offer a self-contained and comprehensive treatment of these topics. Successfully class-tested in an advanced undergraduate course at the Krannert School of Management and in a graduate course in economics at Indiana University, Games and Decision Making, Second Edition, is an essential text for advanced undergraduates and graduate students of decision theory and game theory. The book is accessible to students who have a good basic understanding of elementary calculus and probability theory. |
| economics for decision making: Data Science for Economics and Finance Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, 2021 This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications. |
| economics for decision making: Managerial Economics William F. Samuelson, Stephen G. Marks, Jay L. Zagorsky, 2021-01-13 Managerial Economics, 9th Edition, introduces undergraduates, MBAs, and executives to the complex decision problems today’s managers face, providing the knowledge and analytical skills required to make informed decisions and prosper in the modern business environment. Going beyond the traditional academic approach to teaching economic analysis, this comprehensive textbook describes how practicing managers use various economic methods in the real world. Each in-depth chapter opens with a central managerial problem—challenging readers to consider and evaluate possible choices—and concludes by reviewing and analyzing the decision through the lens of the concepts introduced in the chapter. Extensively updated throughout, the text makes use of numerous extended decision-making examples to discuss the foundational principles of managerial economics, illustrate key concepts, and strengthen students' critical thinking skills. A range of problems, building upon material covered in previous chapters, are applied to increasingly challenging applications as students advance through the text. Favoring practical skills development over complicated theoretical discussion, the book includes numerous mini-problems that reinforce students' quantitative understanding without overwhelming them with an excessive amount of mathematics. |
| economics for decision making: The Manual of Strategic Economic Decision Making Jeff Grover, 2016 This book is an extension of the author's first book and serves as a guide and manual on how to specify and compute 2-, 3-, & 4-Event Bayesian Belief Networks (BBN). It walks the learner through the steps of fitting and solving fifty BBN numerically, using mathematical proof. The author wrote this book primarily for naïve learners and professionals, with a proof-based academic rigor. The author's first book on this topic, a primer introducing learners to the basic complexities and nuances associated with learning Bayes' theory and inverse probability for the first time, was meant for non-statisticians unfamiliar with the theorem - as is this book. This new book expands upon that approach and is meant to be a prescriptive guide for building BBN and executive decision-making for students and professionals; intended so that decision-makers can invest their time and start using this inductive reasoning principle in their decision-making processes. It highlights the utility of an algorithm that served as the basis for the first book, and includes fifty 2-,3-, and 4-event BBN of numerous variants. Equips readers with a simplified reference source for all aspects of the discrete form of Bayes' theorem and its application to BBN Provides a compact resource for the statistical tools required to build a BBN Includes an accompanying statistical analysis portal Jeff Grover, PhD, is Founder and Chief Research Scientist at Grover Group, Inc., where he specializes in Bayes' Theorem and its application to strategic economic decision making through Bayesian belief networks (BBNs). He specializes in blending economic theory and BBN to maximize stakeholder wealth. He is a winner of the Kentucky Innovation Award (2015) for the application of his proprietary BBN big data algorithm. He has operationalized BBN in the healthcare industry, evaluating the Medicare Hospital Compare data; in the Department of Defense, conducting research with U.S. Army Recruiting Command to determine optimal levels of required recruiters for recruiting niche market medical professionals; and in the agriculture industry in optimal soybean selection. In the area of economics, he was recently contracted by the Department of Energy, The Alliance for Sustainable Energy, LLC Management and Operating Contractor for the National Renewable Energy Laboratory, to conduct a 3rd party evaluation of the Hydrogen Financial Analysis Scenario (H2FAST) Tool. |
| economics for decision making: Smart Economic Decision-Making in a Complex World Morris Altman, 2020-05-22 Smart Economic Decision-Making in a Complex World is a fresh and reality-based perspective on decision-making with significant implications for analysis, self-understanding and policy. The book examines the conditions under which smart people generate outcomes that improve their place of work, their household and society. Within this work, the curious reader will find interesting open questions on many fascinating areas of current economic debate, including, the role of realistic assumptions robust model building, understanding how and when non-neoclassical behavior is best practice, why the assumption of smart decision-makers is best to understand and explain our economies and societies, and under what conditions individuals can make the best possible choices for themselves and society at large. Additional sections cover when and how efficiency is achieved, why inefficiencies can persist, when and how consumer welfare is maximized, and what benchmarks should be used to determine efficiency and rationality. - Makes the case for 'smart and rational' decision-making as a context-dependent rational process that is framed by socio-cultural environment and conditioned by institutional capacities - Explains how incorporation of the 'smart' decision-maker concept into economic thought improves our understanding of how, why and when people generate certain outcomes - Explores how economic efficiency can be achieved, individual preferences realized, and social welfare maximized through the use of 'smart and rational' approaches |
| economics for decision making: Escalation in Decision-making Helga Drummond, Julia Hodgson, 2011 When a venture seems to be faltering, do you persist and hope that things will get better or do you cut your losses? Rich in case studies involving real business decisions and dilemmas, Escalation in Decision-Making reveals why social scientists believe that owners may not respond rationally to such predicaments. Instead of exiting when the odds are clearly stacked against them, they re-invest and end up compounding their losses - a phenomenon known as escalation of commitment. Escalation in Decision Making is widely relevant to practitioners such as project managers in large organizations and to those responsible for managing risk in many situations. |
| economics for decision making: Engineering Economics Niall M. Fraser, Elizabeth M. Jewkes, 2012-03-05 Engineering Economics: Financial Decision Making for Engineers¿ is designed for teaching a course on engineering economics to match engineering practice today. It recognizes the role of the engineer as a decision maker who has to make and defend sensible decisions. Such decisions must not only take into account a correct assessment of costs and benefits, they must also reflect an understanding of the environment in which the decisions are made. The 5th edition has new material on project management in order to adhere to the CEAB guidelines as well the new edition will have a new spreadsheet feature throughout the text. |
| economics for decision making: Dynamic Economic Decision Making John E. Silvia, 2011-08-09 A comprehensive analysis of the macroeconomic and financial forces altering the economic landscape Financial decision-making requires one to anticipate how their decision will not only affect their business, but also the economic environment. Unfortunately, all too often, both private and public sector decision-makers view their decisions as one-off responses and fail to see their decisions within the context of an evolving decision-making framework. In Decision-Making in a Dynamic Economic Setting, John Silvia, Chief Economist of Wells Fargo and one of the top 5 economic forecasters according to Bloomberg News and USA Today, skillfully puts this discipline in perspective. Details realistic, decision-making approaches and applications under a broad set of economic scenarios Analyzes monetary policy and addresses the impact of financial regulations Examines business cycles and how to identify economic trends, how to deal with uncertainty and manage risk, the building blocks of growth, and strategies for innovation Decision-Making in a Dynamic Economic Setting details the real-world application of economic principles and financial strategy in making better business decisions. |
| economics for decision making: Decision-making on Mega-projects Hugo Priemus, Bent Flyvbjerg, Bert van Wee, 2008-01-01 It will be useful for those experienced and senior professionals who are charged with authorizing and controlling projects. Recommended. P.F. Rad, Choice Building on the seminal work of Bent Flyvbjerg, this book is a collection of expert contributions that will prove essential to anyone wanting to understand why mega-projects go wrong and how they can be made to work better. Professor Sir Peter Hall, University College London, UK This book offers a refreshing and fascinating look at mega-projects from the perspective of public evaluation and planning. With the changing role of the public sector in planning and implementing large-scale projects and a subsequent strong emergence of private public modes of operation, mega-projects have become a problematic phenomenon. This volume is a major source of information and reference. It provides the reader with unique insights and caveats in mega-projects planning. Peter Nijkamp, VU University Amsterdam, The Netherlands This book enlarges the understanding of decision-making on mega-projects and suggest recommendations for a more effective, efficient and democratic approach. Authors from different scientific disciplines address various aspects of the decision-making process, such as management characteristics and cost benefit analysis, planning and innovation and competition and institutions. The subject matter is highly diverse, but certain questions remain at the forefront. For example, how do we deal with protracted preparation processes, how do we tackle risks and uncertainties, and how can we best divide the risks and responsibilities among the private and public players throughout the different phases of the project? Presenting a state-of-the-art overview, based on experiences and visions of authors from Europe and North America, this unique book will be of interest to practitioners of large-scale project management, politicians, public officials and private organisations involved in mega-project decision-making. It will also appeal to researchers, consultants and students dealing with substantial engineering projects, complex systems, project management and transport infrastructure. |
| economics for decision making: Neuroeconomics Paul W. Glimcher, Ernst Fehr, Colin Camerer, Russell Alan Poldrack, 2008-10-10 Neuroeconomics is a new highly promising approach to understanding the neurobiology of decision making and how it affects cognitive social interactions between humans and societies/economies. This book is the first edited reference to examine the science behind neuroeconomics, including how it influences human behavior and societal decision making from a behavioral economics point of view. Presenting a truly interdisciplinary approach, Neuroeconomics presents research from neuroscience, psychology, and behavioral economics, and includes chapters by all the major figures in the field, including two Economics Nobel laureates.* An authoritative reference written and edited by acknowledged experts and founders of the field * Presents an interdisciplinary view of the approaches, concepts, and results of the emerging field of neuroeconomics relevant for anyone interested in this area of research* Full-color presentation throughout with carefully selected illustrations to highlight key concepts |
| economics for decision making: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| economics for decision making: Decision Modelling for Health Economic Evaluation Andrew Briggs, Mark Sculpher, Karl Claxton, 2006-08-17 In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields. |
| economics for decision making: Managerial Economics (Analysis of Managerial Decision Making), 9th Edition Ahuja H.L., Widely acknowledged, this popular and detailed text is a comprehensive treatise on Managerial Economics both micro and macro-economic aspects. This text ensures a thorough understanding of core concepts before advancing to provide an expanded treatment of topics. It explains the economic environment and the impact on managerial decisions regarding price & output determination in different market structures followed by an account of the behaviour of individuals under conditions of uncertainty. |
| economics for decision making: Personality and Cognition in Economic Decision Making Aurora García-Gallego, Manuel I. Ibáñez, Nikolaos Georgantzis, 2017-08-22 Psychologists studying cognitive processes and personality have increasingly benefited from the wealth of theory, methodology, and decision making paradigms used in economics and game theory. Similarly, for the economists, personality traits and basic cognitive processes offer a set of coherent explanatory constructs in economic behavior. Given the debate on preference invariance and behavioral consistency across contexts and domains, the papers in this topic shed light on the existence and effect of stable sets of idiosyncratic features on economic decision-making. While the effects of personality and cognition on economic decisions remain under-explored, the papers contributed in this topic offer more than a stimulus for further research. The general message could be that personality and cognitive processes offer the stable idiosyncratic ground on which individual decisions are made. |
| economics for decision making: Knowledge And Decisions Thomas Sowell, 2022-01-04 With a new preface by the author, this reissue of Thomas Sowell's classic study of decision making updates his seminal work in the context of The Vision of the Annointed, Sowell, one of America's most celebrated public intellectuals, describes in concrete detail how knowledge is shared and disseminated throughout modern society. He warns that society suffers from an ever-widening gap between firsthand knowledge and decision making—a gap that threatens not only our economic and political efficiency, but our very freedom because actual knowledge gets replaced by assumptions based on an abstract and elitist social vision f what ought to be.Knowledge and Decisions, a winner of the 1980 Law and Economics Center Prize, was heralded as a ”landmark work” and selected for this prize ”because of its cogent contribution to our understanding of the differences between the market process and the process of government.” In announcing the award, the center acclaimed Sowell, whose ”contribution to our understanding of the process of regulation alone would make the book important, but in reemphasizing the diversity and efficiency that the market makes possible, [his] work goes deeper and becomes even more significant.” |
| economics for decision making: The Paradox of Choice Barry Schwartz, 2009-10-13 Whether we're buying a pair of jeans, ordering a cup of coffee, selecting a long-distance carrier, applying to college, choosing a doctor, or setting up a 401(k), everyday decisions—both big and small—have become increasingly complex due to the overwhelming abundance of choice with which we are presented. As Americans, we assume that more choice means better options and greater satisfaction. But beware of excessive choice: choice overload can make you question the decisions you make before you even make them, it can set you up for unrealistically high expectations, and it can make you blame yourself for any and all failures. In the long run, this can lead to decision-making paralysis, anxiety, and perpetual stress. And, in a culture that tells us that there is no excuse for falling short of perfection when your options are limitless, too much choice can lead to clinical depression. In The Paradox of Choice, Barry Schwartz explains at what point choice—the hallmark of individual freedom and self-determination that we so cherish—becomes detrimental to our psychological and emotional well-being. In accessible, engaging, and anecdotal prose, Schwartz shows how the dramatic explosion in choice—from the mundane to the profound challenges of balancing career, family, and individual needs—has paradoxically become a problem instead of a solution. Schwartz also shows how our obsession with choice encourages us to seek that which makes us feel worse. By synthesizing current research in the social sciences, Schwartz makes the counter intuitive case that eliminating choices can greatly reduce the stress, anxiety, and busyness of our lives. He offers eleven practical steps on how to limit choices to a manageable number, have the discipline to focus on those that are important and ignore the rest, and ultimately derive greater satisfaction from the choices you have to make. |
| economics for decision making: Computational and Decision Methods in Economics and Business Anna Maria Gil-Lafuente, Josefa Boria, Agustín Torres, José M. Merigó, Janusz Kacprzyk, 2022-01-27 This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop Innovation, Complexity and Uncertainty in Economics and Business, held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business. |
| economics for decision making: Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions Edgardo Bucciarelli, Shu-Heng Chen, Juan Manuel Corchado, 2018-12-28 The special session on Decision Economics (DECON) is a scientific forum held annually, which is focused on sharing ideas, projects, research results, models, and experiences associated with the complexity of behavioural decision processes and socio‐economic phenomena. In 2018, DECON was held at Campus Tecnológico de la Fábrica de Armas, University of Castilla-La Mancha, Toledo, Spain, as part of the 15th International Conference on Distributed Computing and Artificial Intelligence. For the third consecutive year, this book have drawn inspiration from Herbert A. Simon’s interdisciplinary legacy and, in particular, is devoted to designs, models, and techniques for boundedly rational decisions, involving several fields of study and expertise. It is worth noting that the recognition of relevant decision‐making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, small and international business management, operations, and production. Therefore, decision‐making issues are of fundamental importance in all branches of economics addressed with different methodological approaches. As a matter of fact, the study of decision‐making has become the focus of intense research efforts, both theoretical and applied, forming a veritable bridge between theory and practice as well as science and business organisations, whose pillars are based on insightful cutting‐edge experimental, behavioural, and computational approaches on the one hand, and celebrating the value of science as well as the close relationship between economics and complexity on the other. In this respect, the international scientific community acknowledges Herbert A. Simon’s research endeavours to understand the processes involved in economic decision‐making and their implications for the advancement of economic professions. Within the field of decision‐making, indeed, Simon has become a mainstay of bounded rationality and satisficing. His rejection of the standard (unrealistic) decision‐making models adopted by neoclassical economists inspired social scientists worldwide with the purpose to develop research programmes aimed at studying decision‐making empirically, experimentally, and computationally. The main achievements concern decision‐making for individuals, firms, markets, governments, institutions, and, last but not least, science and research. This book of selected papers tackles these issues that Simon broached in a professional career spanning more than sixty years. The Editors of this book dedicated it to Herb. |
| economics for decision making: Macroeconomic Decision Making in the World Economy Michael G. Rukstad, 1986 |
| economics for decision making: Experiments in Economics John Denis Hey, 2018 This book provides the most important publications of John D Hey over his almost 50-year career in academia, concentrating primarily on his publications in the field of experimental economics. This is a field that has grown dramatically over the last 30 years, and John D Hey has contributed significantly to its growth and development. The papers included in this volume cover the whole range from individual decision making, both static and dynamic under risk and uncertainty, through games, bargaining and auctions, to markets. The author has contributed in all these fields, and has pioneered much new methodology. |
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 …
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