This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.

This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.

Prospect Theory: For Risk and Ambiguity provides the first comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.

In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.

Across the world, organizations continue to be damaged and brought down by systemic non-compliance or the misdeeds of a few, and newspapers abound with examples of corporate and NGO scandals and crimes. This is despite the increasing ethical demands stakeholders are making of business, the exposing power of social media, the proliferating requirements of compliance laws and regulations, and the burgeoning numbers of policies, procedures and compliance officers that have been put in place in response. So why isn't compliance working? The Business Guide to Effective Compliance and Ethics examines how rules-based, tick-box, defensible compliance continues to fail, and lays out a new approach for organizations seeking to flourish and succeed. Written for any organization and businesses, this book provides clear, thorough and practical guidance for practitioners and decision-makers. It explains in layman's terms the skills, tools and mindset needed to develop and deliver a best practice compliance and ethics programme - one that meets the requirements made by law, stakeholders and society, and protects your organization from risk of fines, penalties and reputational damage. But this is also a book for all those interested in how to build employee engagement and motivation. The Business Guide to Effective Compliance and Ethics demonstrates the value - including competitive advantage, career satisfaction, employee and customer loyalty, and brand enhancement - that a truly effective compliance and ethics programme can bring, when it works hand in hand with a values-based culture of shared ownership.

Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend treatment, while the patient has to decide whether or not to seek medical care, and go along with the treatment recommended by the physician. Health policy makers and health insurers have to decide what to promote, what to discourage, and what to pay for. Together, these decisions determine the quality of health care that is provided. Decision Making in Health Care, first published in 2000, is a comprehensive overview of the field of medical decision making - a rapidly expanding field that includes quantitative theoretical tools for modeling decisions, psychological research on how decisions are actually made, and applied research on how physician and patient decision making can be improved.

This controversial book explores the potential for the use of lotteries in social, and particularly legal, decision-making contexts. Utilizing a variety of disciplines and materials, the author considers in detail the history, advantages, and drawbacks of deciding issues of social significance by lot and argues that the value of the lottery as a legal decision-making device has generally been underestimated. The final chapter of the book considers how lotteries might be combined with other decision-mechanisms and suggests that it may sometimes be sensible to require that adjudication takes place in the shadow of the lottery.

These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantities which are of interest in insurance and other areas of application in applied probability. The basic technique employed in the derivation of many bounds is induc tive, an approach that is motivated by arguments used by Sparre-Andersen (1957) in connection with a renewal risk model in insurance. This technique is both simple and powerful, and yields quite general results. The bounds themselves are motivated by the classical Lundberg exponential bounds which apply to ruin probabilities, and the connection to compound dis tributions is through the interpretation of the ruin probability as the tail probability of a compound geometric distribution. The initial exponential bounds were given in Willmot and Lin (1994), followed by the nonexpo nential generalization in Willmot (1994). Other related work on approximations for compound distributions and applications to various problems in insurance in particular and applied probability in general is also discussed in subsequent chapters. The results obtained or the arguments employed in these situations are similar to those for the compound distributions, and thus we felt it useful to include them in the notes. In many cases we have included exact results, since these are useful in conjunction with the bounds and approximations developed."

Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.

This publication provides updates on the bond market in Indonesia since 2017. The ASEAN+3 Bond Market Guide series provides information on the investment climate, rules, laws, opportunities, and characteristics of bond markets in Asia and the Pacific. It aims to help bond market issuers, investors, and financial intermediaries understand the local context and encourage greater participation in the region's rapidly developing bond markets. This edition updates the ASEAN+3 Bond Market Guide 2017: Indonesia.

This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the nonspecialist to the rudiments of expected utility theory. The major technical advance offered by the book is a "representation theorem" that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. In providing the most complete and robust defense of causal decision theory the book will be of interest to a broad range of readers in philosophy, economics, psychology, mathematics, and artificial intelligence.

The Pacific region is expected to contract by 0.6% in 2021, and to grow by 4.7% in 2022. This issue of the Pacific Economic Monitor explores how the region can reopen and rebuild. Besides safely resuming travel and protecting health, a resilient recovery will depend on promoting fiscal sustainability and strengthening economic management, including regional cooperation to revitalize tourism.

Behind heart disease and cancer, medical error is now listed as one of the leading causes of death. Of the many medical errors that may lead to injury and death, diagnostic failure is regarded as the most significant. Generally, the majority of diagnostic failures are attributed to the clinicians directly involved with the patient, and to a lesser extent, the system in which they work. In turn, the majority of errors made by clinicians are due to decision making failures manifested by various departures from rationality. Of all the medical environments in which patients are seen and diagnosed, the emergency department is the most challenging. It has been described as a "wicked" environment where illness and disease may range from minor ailments and complaints to severe, life-threatening disorders. The Cognitive Autopsy is a novel strategy towards understanding medical error and diagnostic failure in 42 clinical cases with which the author was directly involved or became aware of at the time. Essentially, it describes a cognitive approach towards root cause analysis of medical adverse events or near misses. Whereas root cause analysis typically focuses on the observable and measurable aspects of adverse events, the cognitive autopsy attempts to identify covert cognitive processes that may have contributed to outcomes. In this clinical setting, no cognitive process is directly observable but must be inferred from the behavior of the individual clinician. The book illustrates unequivocally that chief among these cognitive processes are cognitive biases and other flaws in decision making, rather than knowledge deficits.

This report examines the impacts of COVID-19 on labour markets along with adjustment patterns in Indonesia, Malaysia, the Philippines, Thailand, and Viet Nam. Labour markets in Southeast Asia were particularly hit hard in 2020 when government pandemic containment measures were most severe. COVID-19 exacerbated growing inequalities in the region and exposed large gaps in social protection . This report aims to help policymakers identify priorities, constraints, and opportunities for developing effective labour market strategies for economic recovery and beyond.

Individual decision making can often be wrong due to misinformation, impulses, or biases. Collective decision making, on the other hand, can be surprisingly accurate. In Democratic Reason, Helene Landemore demonstrates that the very factors behind the superiority of collective decision making add up to a strong case for democracy. She shows that the processes and procedures of democratic decision making form a cognitive system that ensures that decisions taken by the many are more likely to be right than decisions taken by the few. Democracy as a form of government is therefore valuable not only because it is legitimate and just, but also because it is smart. Landemore considers how the argument plays out with respect to two main mechanisms of democratic politics: inclusive deliberation and majority rule. In deliberative settings, the truth-tracking properties of deliberation are enhanced more by inclusiveness than by individual competence. Landemore explores this idea in the contexts of representative democracy and the selection of representatives. She also discusses several models for the "wisdom of crowds" channeled by majority rule, examining the trade-offs between inclusiveness and individual competence in voting. When inclusive deliberation and majority rule are combined, they beat less inclusive methods, in which one person or a small group decide. Democratic Reason thus establishes the superiority of democracy as a way of making decisions for the common good.

Kulturen bzw. Gesellschaften in ihrer spezifischen Pragung haben systemischen Charakter und bedurfen einer ganzheitlichen Betrachtung. Im Zuge entwicklungspolitischer Massnahmen erfolgen Wissens- und Technologietransfer untrennbar vom Kulturtransfer. Eine Nahtstelle dieses Geschehens ist der Bildungsbereich. Aus einem anders gearteten kulturellen Kontext in einen bestimmten traditionellen Gesellschaftstypus hineinwirkende Massnahmen zwischenstaatlicher Entwicklungshilfe stellen eine Intervention in ein fremdes sozio-kulturelles Milieu dar. Die skizzierten Zusammenhange werden am Beispiel des Projektalltages an der deutsch-athiopischen Modellhochschule, der Adama University, aufgezeigt.

Financial markets respond to information virtually instantaneously. Each new piece of information influences the prices of assets and their correlations with each other, and as the system rapidly changes, so too do correlation forecasts. This fast-evolving environment presents econometricians with the challenge of forecasting dynamic correlations, which are essential inputs to risk measurement, portfolio allocation, derivative pricing, and many other critical financial activities. In Anticipating Correlations, Nobel Prize-winning economist Robert Engle introduces an important new method for estimating correlations for large systems of assets: Dynamic Conditional Correlation (DCC).

Engle demonstrates the role of correlations in financial decision making, and addresses the economic underpinnings and theoretical properties of correlations and their relation to other measures of dependence. He compares DCC with other correlation estimators such as historical correlation, exponential smoothing, and multivariate GARCH, and he presents a range of important applications of DCC. Engle presents the asymmetric model and illustrates it using a multicountry equity and bond return model. He introduces the new FACTOR DCC model that blends factor models with the DCC to produce a model with the best features of both, and illustrates it using an array of U.S. large-cap equities. Engle shows how overinvestment in collateralized debt obligations, or CDOs, lies at the heart of the subprime mortgage crisis--and how the correlation models in this book could have foreseen the risks. A technical chapter of econometric results also is included.

Based on the Econometric and Tinbergen Institutes Lectures, "Anticipating Correlations" puts powerful new forecasting tools into the hands of researchers, financial analysts, risk managers, derivative quants, and graduate students.

Implement practical solutions in business continuity management and organizational resilience guided by international best practice from ISO 22301:2019. Business continuity management and resilience are critical to maintaining a healthy business, but many organizations either do nothing (leaving themselves exposed to disruption), take short cuts (leaving major gaps) or fail to properly engage senior stakeholders. This book is a straightforward guide to delivering an effective business continuity capability, including practical solutions built from the author's personal experience managing hundreds of projects in a variety of business settings. Business Continuity Management compares incident management, crisis response and business continuity and how to explain their importance to senior decision makers to ensure appropriate investment. Readers will benefit from case studies of organizational crises and disruptions, including Home Depot, Nissan, RBS, Facebook, Equifax and KFC, and an exploration of lessons learned from the COVID-19 pandemic. With key performance indicators, templates and checklists covering planning, response, reporting and assurance, this book is the essential reference for business continuity and resilience which can be tailored to any organization.

This book, based on the author's Clarendon Lectures in Finance, examines the empirical behaviour of corporate default risk. A new and unified statistical methodology for default prediction, based on stochastic intensity modeling, is explained and implemented with data on U.S. public corporations since 1980. Special attention is given to the measurement of correlation of default risk across firms. The underlying work was developed in a series of collaborations over roughly the past decade with Sanjiv Das, Andreas Eckner, Guillaume Horel, Nikunj Kapadia, Leandro Saita, and Ke Wang. Where possible, the content based on methodology has been separated from the substantive empirical findings, in order to provide access to the latter for those less focused on the mathematical foundations. A key finding is that corporate defaults are more clustered in time than would be suggested by their exposure to observable common or correlated risk factors. The methodology allows for hidden sources of default correlation, which are particularly important to include when estimating the likelihood that a portfolio of corporate loans will suffer large default losses. The data also reveal that a substantial amount of power for predicting the default of a corporation can be obtained from the firm's "distance to default," a volatility-adjusted measure of leverage that is the basis of the theoretical models of corporate debt pricing of Black, Scholes, and Merton. The findings are particularly relevant in the aftermath of the financial crisis, which revealed a lack of attention to the proper modelling of correlation of default risk across firms.

Die Entwicklung der Schularchitektur in Deutschland hatte, gunstigere gesellschaftliche Rahmenbedingungen vorausgesetzt, einen weitaus glucklicheren Verlauf nehmen koennen. Einer gedeihlicheren Entwicklung des Schulbaus in den deutschen Landern standen jedoch einerseits materielle Zwange, andererseits ideologische Bestrebungen traditionell als grosses Hindernis entgegen. Padagogische Belange gerieten allzuoft ins Hintertreffen. Mit dieser Problematik setzt sich die Arbeit auseinander: Die Schulbauentwicklung in Deutschland wird beginnend mit dem spaten 18. und fruhen 19. Jahrhundert anhand von historischen und zeitgenoessischen Beispielen erlautert. Neben der architektonischen Entwicklung sind in diesem Zusammenhang die mit ihr einhergehenden padagogischen und gesellschaftlichen Veranderungen von Bedeutung.

In his entertaining and informative book "Graphic Discovery," Howard Wainer unlocked the power of graphical display to make complex problems clear. Now he's back with "Picturing the Uncertain World," a book that explores how graphs can serve as maps to guide us when the information we have is ambiguous or incomplete. Using a visually diverse sampling of graphical display, from heartrending autobiographical displays of genocide in the Kovno ghetto to the "Pie Chart of Mystery" in a "New Yorker" cartoon, Wainer illustrates the many ways graphs can be used--and misused--as we try to make sense of an uncertain world.

"Picturing the Uncertain World" takes readers on an extraordinary graphical adventure, revealing how the visual communication of data offers answers to vexing questions yet also highlights the measure of uncertainty in almost everything we do. Are cancer rates higher or lower in rural communities? How can you know how much money to sock away for retirement when you don't know when you'll die? And where exactly did nineteenth-century novelists get their ideas? These are some of the fascinating questions Wainer invites readers to consider. Along the way he traces the origins and development of graphical display, from William Playfair, who pioneered the use of graphs in the eighteenth century, to instances today where the public has been misled through poorly designed graphs.

We live in a world full of uncertainty, yet it is within our grasp to take its measure. Read "Picturing the Uncertain World" and learn how.

Dieses Open-Access-Buch zur Consumer Decision Neuroscience verfolgt das Ziel, durch die Integration neurowissenschaftlicher Methoden in die Kaufer- und Konsumentenverhaltensforschung die Identifikation verhaltensrelevanter, neurophysiologischer Variablen zu ermoeglichen, um darauf aufbauend eine Theorieerweiterung zu schaffen. In ausgewahlten Beitragen werden Kaufer- und Konsumentenentscheidungsprozesse anhand verschiedener methodischer, neurowissenschaftlich fundierter Herangehensweisen empirisch untersucht, um die Entscheidungsprozesse umfassend beschreiben, effektiver unterstutzen und erfolgreich vorhersagen zu koennen.

The information in this book will provide board members with simple tools to become an effective member of the board, even in the first term. Board members are introduced to Values Governance (R) system that incorporates community process techniques, curricular, and instructional innovations. This new model provides greater efficiency, effectiveness, and coherence in the governance of the board. With the completion of this survival guide, the new board member is ready to join the board with some skills in hand.