This book argues that critical choices about the institutional design of education systems in the post-war period have long-term implications for social inequality.
This introduction to modern business cycle theory uses a neoclassical growth framework to study the economic fluctuations associated with the business cycle. Presenting advances in dynamic economic theory and computational methods, it applies concepts to t
The lasting turmoil associated with the unprecedented pandemic, triggered by the novel corona virus COVID-19, has dragged the world into a mud of uncertainty. Fiscal stimulation, interest rate cuts, global supply-chain redeployment, "pandemic bond" and circuit breakers kicked in and the world is responding to this great challenge. But how can finance and economic research help the world under such circumstances? This book dwells on this new area of research and tries to understand how pandemics impact the economic and financial ecosystem of both emerging and advanced economies. Lessons learnt from the experience of previous pandemics maybe presented and discussed through drawing on policy lessons to date. By gathering research on political economy, geopolitical issues, behavioral finance, international institutional responses and medical and health issues resulting from pandemics, the chapters in this edited volume help in expanding the knowledge of social and economic consequences of the pandemic as well as set the foundation for future research. This book would benefit scholars, policy makers and entrepreneurs worldwide as a valuable archive of research on pandemics. The chapters in this book were originally published as a special issue of Emerging Markets Finance and Trade.
This book provides the first extensive analytic comparison between models and results from econophysics and financial economics in an accessible and common vocabulary. Unlike other publications dedicated to econophysics, it situates this field in the evolution of financial economics by laying the foundations for common theoretical framework and models.
Traditional research about Financial Stability and Sustainable Growth typically omits Earnings Management (as a broad class of misconduct), Complex Systems Theory, Mechanism Design Theory, Public Health, psychology issues, and the externalities and psychological effects of Fintech. Inequality, Environmental Pollution, Earnings Management opportunities, the varieties of complex Financial Instruments, Fintech, Regulatory Fragmentation, Regulatory Capture and real-financial sector-linkages are growing around the world, and these factors can have symbiotic relationships. Within Complex System theory framework, this book analyzes these foregoing issues, and introduces new behaviour theories, Enforcement Dichotomies, and critiques of models, regulations and theories in several dimensions. The issues analyzed can affect markets, and evolutions of systems, decision-making, "nternal Markets and risk-perception within government regulators, operating companies and investment entities, and thus they have Public Policy implications. The legal analysis uses applicable US case-law and statutes (which have been copied by many countries, and are similar to those of many common-law countries). Using Qualitative Reasoning, Capital Dynamics Theory (a new approach introduced in this book), Critical Theory and elements of Mechanism Design Theory, the book aims to enhance cross-disciplinary analysis of the above-mentioned issues; and to help researchers build better systems/Artificial-Intelligence/mathematical models in Financial Stability, Portfolio Management, Policy-Analysis, Asset Pricing, Contract Theory, Enforcement Theory and Fraud Detection. The primary audience for this book consists of university Professors, PHD students and PHD degree-holders (in industries, government agencies, financial services companies and research institutes). The book can be used as a primary or supplementary textbook for graduate courses in Regulation; Capital Markets; Law & Economics, International Political Economy and or Mechanism Design (Applied Math, Operations Research, Computer Science or Finance).
We live in a dynamic economic and commerical world, surrounded by objects of remarkable complexity and power. In many industries, changes in products and technologies have brought with them new kinds of firms and forms of organization. We are discovering news ways of structuring work, of bringing buyers and sellers together, and of creating and using market information. Although our fast-moving economy often seems to be outside of our influence or control, human beings create the things that create the market forces. Devices, software programs, production processes, contracts, firms, and markets are all the fruit of purposeful action: they are designed. Using the computer industry as an example, Carliss Y. Baldwin and Kim B. Clark develop a powerful theory of design and industrial evolution. They argue that the industry has experienced previously unimaginable levels of innovation and growth because it embraced the concept of modularity, building complex products from smaller subsystems that can be designed independently yet function together as a whole. Modularity freed designers to experiment with different approaches, as long as they obeyed the established design rules. Drawing upon the literatures of industrial organization, real options, and computer architecture, the authors provide insight into the forces of change that drive today's economy.
The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.
Industrial policy has long been regarded as a strategy to encourage sector-, industry-, or economy-wide development by the state. It has been central to competitiveness, catching up, and structural change in both advanced and developing countries. It has also been one of the most contested perspectives, reflecting ideologically inflected debates and shifts in prevailing ideas. There has lately been a renewed interest in industrial policy in academic circles and international policy dialogues, prompted by the weak outcomes of policies pursued by many developing countries under the direction of the Washington Consensus (and its descendants), the slow economic recovery of many advanced economies after the 2008 global financial crisis, and mounting anxieties about the national consequences of globalization. The Oxford Handbook of Industrial Policy presents a comprehensive review of and a novel approach to the conceptual and theoretical foundations of industrial policy. The Handbook also presents analytical perspectives on how industrial policy connects to broader issues of development strategy, macro-economic policies, infrastructure development, human capital, and political economy. By combining historical and theoretical perspectives, and integrating conceptual issues with empirical evidence drawn from advanced, emerging, and developing countries, The Handbook offers valuable lessons and policy insights to policymakers, practitioners and researchers on developing productive transformation, technological capabilities, and international competitiveness. It addresses pressing issues including climate change, the gendered dimensions of industrial policy, global governance, and technical change. Written by leading international thinkers on the subject, the volume pulls together different perspectives and schools of thought from neo-classical to structuralist development economists to discuss and highlight the adaptation of industrial policy in an ever-changing socio-economic and political landscape.
The Latin American Neutrosophic Science Association was created in 2018 as a result of the initiative of a group of university professors from Mexico and Ecuador. The Association has developed an intense work in the investigative context, expression of the capacity that neutrosophy has as a tool for understanding and transformation of reality in social benefit. Neutrosophic sets as a generalization fuzzy set (especially intuitionistic fuzzy sets), allows handling a greater number of situations that occur in reality and becomes a facilitator of the approach to the studied object without undermining its complex and multivariate essence. In this special edition, researchers from six Ecuadorian universities show the results of research projects addressing a wide range of topics related to the social environment of these Higher Education Institutions. The contents include law, criminology, public and administrative management, evaluation of pedagogical scenarios, prospective analysis, artificial intelligence, among other topics. They are many different texts with a common denominator, the social sciences, and their relationship with neutrosophy. The progress of these investigations originates a significant change in the ways of validating and reasoning the proposals, the appreciation of neutrality increases the interpretability and the inferential efficacy from the analysis of the results, which enunciates a methodological, perceptive and objective enrichment in the humanistic sciences in Latin American geographical region.
This volume highlights the importance of replicating previous economic experiments for understanding the robustness and generalizability of behavior. Readers will gain a better understanding of the role that replication plays in scientific discovery as well as valuable insights into the robustness of previously reported findings.