The First Edition, published in 1978, brought together classic and modern thinking in the economics of uncertainty and provided the first text in the area. This Second Edition includes three new articles, added material on search theory, an additional preface, and updated references. Articles, introduced with brief commentaries, are divided into three broad sections: theory of choice under uncertainty, general equilibrium models of financial institutions, and models of the effects of uncertainty on market institutions.
Franziska König examines the anatomy of uncertainty-governance choice relationships from different theoretical angles, including transaction costs economics, resource-based theory, and real options theory. The book provides, furthermore, comprehensive empirical insights both from secondary data examined with a “vote-counting” analysis as well as from primary data, collected through a “policy-capturing” study.
A smart, practical book that shows us how to navigate uncertain times. In an age of pandemic and economic precarity, how can we learn to embrace uncertainty in our workplaces, schools and businesses? And how can better understanding uncertainty help us to build resilience, foster social justice and deal with the big issues, such as climate change? Award-winning educator Michelle Lazarus shows us how uncertainty tolerance can help. From how teachers can prepare students for an uncertain workforce, to reducing burnout in trainee doctors, to confronting the effects of climate change, this smart, practical popular-science book has an affirming message: we may not be able to predict the future, but we can learn to navigate it. Drawing on Michelle's original research, it will appeal to readers of Emily Ehler's Hope is a Verb and Jonica Newby's Beyond Climate Grief.
Results of measurements and conclusions derived from them constitute much of the technical information produced by the National Institute of Standards and Technology (NIST). In July 1992 the Director of NIST appointed an Ad Hoc Committee on Uncertainty Statements and charged it with recommending a policy on this important topic. The Committee concluded that the CIPM approach could be used to provide quantitative expression of measurement that would satisfy NIST¿s customers¿ requirements. NIST initially published a Technical Note on this issue in Jan. 1993. This 1994 edition addresses the most important questions raised by recipients concerning some of the points it addressed and some it did not. Illustrations.
This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.
Originally published in 1979. This book addresses three questions regarding uncertainty in economic life: how do we define uncertainty and use the concept meaningfully to provide conclusions; how can the level of uncertainty associated with a particular variable of economic interest be measured; and does experience provide any support for the view that uncertainty really matters. It develops a theory of the effect of price uncertainty on production and trade, takes a graphical approach to look at effects of a mean preserving spread to create rules for ordering distributions, and finishes with an econometric analysis of the effects of Brazil’s adoption of a crawling peg in reducing real exchange rate uncertainty. This is an important early study into the significance of uncertainty.
This paper empirically investigates the relationship between uncertainty and trade. We use a gravity model for 143 countries over the 1980-2021 period to assess the impact of uncertainty on bilateral trade. We confirm that, in general, uncertainty has a negative impact on trade. The findings suggest that a one standard deviation increase in global uncertainty is associated with a decline in bilateral trade by 4.5 percent, with fuel and industrial products trade being the most impacted. This negative impact is observed for uncertainty on both sides of the border, with a higher impact of uncertainty from the importing country. The article goes deeper into the analysis and shows that deeper trade integration (horizontal integration) mitigates the negative impact of uncertainty on trade. In contrast, higher participation in global value chains (vertical integration) amplifies the negative effect of uncertainty on trade. We find that geopolitical tensions amplify the deterrent effect of uncertainty on trade. Finally, the result is heterogeneous across income levels, regions, and resource endowment: (a) uncertainty has a negative impact on bilateral trade between Emerging Markets and Developing Economies and Advanced Economies; however, (b) at the regional level, Africa and Europe’s intraregional trade decrease as uncertainty surges. (c) Evidence shows that non-resources-rich countries are more at risk.
In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.
This work provides a thought-provoking account of how medical treatments can be tested with unbiased or 'fair' trials and explains how patients can work with doctors to achieve this vital goal. It spans the gamut of therapy from mastectomy to thalidomide and explores a vast range of case studies.
This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing. Audience: Researchers and professionals from operations research, management science and economics.
