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Author: Ulrich Cornelius Philip Julian Schneider
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages :
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Book Description
Author: Ulrich Cornelius Philip Julian Schneider
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages :
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Book Description
Author: Daniel Kemptner
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Paul W. Glimcher
Publisher: Academic Press
ISBN: 0123914698
Category : Psychology
Languages : en
Pages : 606
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Book Description
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
Author:
Publisher:
ISBN: 9789176232415
Category :
Languages : en
Pages : 269
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Author: P. Hansen
Publisher: Springer Science & Business Media
ISBN: 3642464734
Category : Business & Economics
Languages : en
Pages : 451
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Book Description
The Fifth International Conference on Multiple Criteria Decision Making, not suprisingly, had several objectives. First, it aimed at beinq a forum for exchange and intensive discussion of recent ideas on theory and practice of MCDM, following the now well-established tradition of the previous meetings in the series, organized by H. Thiriez and S. Zionts in Jouy-en-Josas (1975), S. Zionts in Buffalo (1977), G. Fandel and T. Gal in Hagen/Konigswinter (1979) and J. Morse in Newark (1980). Second, closer contacts Nere desired between participants in these meetings and other active groups in the field, prominent among which is the European Working Group on Multiple Criteria Decision Aid. Third, participation of senior or junior researchers who had recently developped important new methodolo0ies, such as the Analytical Hierarchy Process, was actively sought for. Fourth, a synthesis of the rapidly expanding field of MCDM was to be made through selective surveys by leading researchers in the various areas it comprises. Fifth, cross-fertilization and multidisciplinary research was to be encouraged through presentations on the connections between MCDM and mathematics, economics, game theory, computer science and other subjects. Sixth, much emphasis was to be given to real-world applications of MCDM, particularly large scale ones and/or pioneering work in new fields. The present volume reflects the general agreement observed among participants that these goals were largely attained.
Author: John E. Silvia
Publisher: John Wiley & Sons
ISBN: 1118100956
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
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.
Author: Lars Peter Hansen
Publisher: Princeton University Press
ISBN: 0691170975
Category : Business & Economics
Languages : en
Pages : 453
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Book Description
The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
Author: Xiaoyu Xia
Publisher:
ISBN:
Category :
Languages : en
Pages : 92
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Book Description
My dissertation consists of three studies that incorporate behavioral economics element in analyzing decisions of individuals in the labor and housing market. The first chapter studies how college students learn about the earning opportunities associated with different majors. I use data from two major longitudinal surveys to develop and estimate a learning model in which students update their expectations based on the contemporaneous earning realizations of older siblings and parents. Reduced-form models show that the probability of choosing a major that corresponds to the occupation of an older sibling or parent is strongly affected by whether the family member is experiencing a positive or negative earnings shock at the time the major choice is made. Building on this finding, I estimate a model of major choice that incorporates learning from family-based information sources. The results imply that students overestimate the predictive power of family members' earnings: the decision weight placed on family wage realizations is much larger than can be justified by the empirical correlation between their own earnings and their family members' earnings. My second chapter focuses on how time preference affect their job searching under unemployment insurance (UI) policies. Previous studies find that higher UI benefit, extended UI eligibility duration, bonus payment or severance pay affects unemployed workers' job-finding hazard rate but not the subsequent job match quality. I construct and estimate a dynamic job search model endogenizing both the search intensity and reservation wage with hyperbolic discounting. Using data from several state job bonus experiments from the 1980s (the Illinois UI Incentive Experiments), I find the model with hyperbolic discounting fits the effect of the job-bonus treatment better, and an unemployed worker's reservation wage decreases slower during search duration under the hyperbolic discounting framework, implying that bonus payments induce higher search effort but do not significantly decrease workers' reservation wages. The third chapter is a joint work with Tristan Gagnon-Bartsch and Antonio Rosato. In this study, we propose and empirically test a theoretical model of loss aversion in the housing market. Compared to the empirical findings of Genesove and Meyer (2001), our model makes a new prediction: sellers who suffer a relatively small loss (when the current market value is lower than the previous purchasing price) will set prices equal to their original purchase price. Hence the model predicts an asymmetric distribution of gains to sellers which assigns less mass to small negative values than to equally size positive values and has a spike at zero. We first use the same data-set used by Genesove and Meyer to test our new prediction and find that between 4% and 10% sellers incurring a loss ``bunch'' by asking a price within 5,000 dollars of the original purchasing price. We also collect new real-estate data from the San Francisco Bay Area in 2011 and find that the pricing behavior of individual sellers is still consistent with loss aversion.
Author: Vincent A. W. J. Marchau
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Author: Caroline E. Zsambok
Publisher: Psychology Press
ISBN: 1317779606
Category : Psychology
Languages : en
Pages : 435
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Book Description
If you aren't using the term naturalistic decision making, or NDM, you soon will be. Even as a very young field, NDM has already had far-reaching applications in areas as diverse as management, aviation, health care, nuclear power, military command and control, corporate teamwork, and manufacturing. Put simply, NDM is the way people use their experience to make decisions in the context of a job or task. Of particular interest to NDM researchers are the effects of high-stake consequences, shifting goals, incomplete information, time pressure, uncertainty, and other conditions that are present in most of today's work places and that add to the complexity of decision making. Applications of NDM research findings target decision aids and training that help people in their decision-making processes. This book reports the findings of top NDM researchers, as well as many of their current applications. In addition, the book offers a historical perspective on the emergence of this new paradigm, describes recent theoretical and methodological advancements, and points to future developments. It was written for people interested in decision making research and applications relative to a diverse array of work settings and products such as human-computer interfaces, decision support systems, individual and team training, product designs, and organizational development and planning.
