This open access book encompasses a collection of in-depth analyses showcasing the challenges and ways forward for macroeconomic modelling of R&D and innovation policies. Based upon the proceedings of the EC-DG JRC-IEA workshop held in Brussels in 2017, it presents cutting-edge contributions from a number of leading economists in the field. It provides a comprehensive overview of the current academic and policy challenges surrounding R&D as well as of the state-of-the-art modelling techniques. The book brings to the forefront outstanding issues related to the assessment of the macroeconomic impact of R&D policies and its modelling. It speaks to the rising importance of R&D and innovation policy, and the proliferation of macroeconomic models featuring endogenous technological change. The contents of this book will be of interest to both academic and policy audiences working in the fields of R&D and innovation.

The recent financial crisis and the difficulty of using mainstream macroeconomic models to accurately monitor and assess systemic risk have stimulated new analyses of how we measure economic activity and the development of more sophisticated models in which the financial sector plays a greater role. Markus Brunnermeier and Arvind Krishnamurthy have assembled contributions from leading academic researchers, central bankers, and other financial-market experts to explore the possibilities for advancing macroeconomic modeling in order to achieve more accurate economic measurement. Essays in this volume focus on the development of models capable of highlighting the vulnerabilities that leave the economy susceptible to adverse feedback loops and liquidity spirals. While these types of vulnerabilities have often been identified, they have not been consistently measured. In a financial world of increasing complexity and uncertainty, this volume is an invaluable resource for policymakers working to improve current measurement systems and for academics concerned with conceptualizing effective measurement.

This book looks at the distribution of income and wealth and the effects that this has on the macroeconomy, and vice versa. Is a more equal distribution of income beneficial or harmful for macroeconomic growth, and how does the distribution of wealth evolve in a market economy? Taking stock of results and methods developed in the context of the 1990s revival of growth theory, the authors focus on capital accumulation and long-run growth. They show how rigorous, optimization-based technical tools can be applied, beyond the representative-agent framework of analysis, to account for realistic market imperfections and for political-economic interactions. The treatment is thorough, yet accessible to students and nonspecialist economists, and it offers specialist readers a wide-ranging and innovative treatment of an increasingly important research field. The book follows a single analytical thread through a series of different growth models, allowing readers to appreciate their structure and crucial assumptions. This is particularly useful at a time when the literature on income distribution and growth has developed quickly and in several different directions, becoming difficult to overview.

The role of the state in modern capitalism has gone beyond fixing market failures. Those regions and countries that have succeeded in achieving “smart” innovation-led growth have benefited from long-term visionary “mission-oriented” policies—from putting a man on the moon to tackling societal challenges such as climate change and the wellbeing of an ageing population. This book collects the experience of different types of mission-oriented public institutions around the world, together with thought-provoking chapters from leading economists. As the global debate on deficits and debt levels continues to roar, the book offers a challenge to the conventional narrative—asking what kinds of visionary fiscal policies we need to help promote "smart” innovation-led, inclusive, and sustainable growth.

An essential introduction to one of the most timely and important subjects in economics International Macroeconomics presents a rigorous and theoretically elegant treatment of real-world international macroeconomic problems, incorporating the latest economic research while maintaining a microfounded, optimizing, and dynamic general equilibrium approach. This one-of-a-kind textbook introduces a basic model and applies it to fundamental questions in international economics, including the determinants of the current account in small and large economies, processes of adjustment to shocks, the determinants of the real exchange rate, the role of fixed and flexible exchange rates in models with nominal rigidities, and interactions between monetary and fiscal policy. The book confronts theoretical predictions using actual data, highlighting both the power and limits of given theories and encouraging critical thinking. Provides a rigorous and elegant treatment of fundamental questions in international macroeconomicsBrings undergraduate and master’s instruction in line with modern economic researchFollows a microfounded, optimizing, and dynamic general equilibrium approachAddresses fundamental questions in international economics, such as the role of capital controls in the presence of financial frictions and balance-of-payments crisesUses real-world data to test the predictions of theoretical modelsFeatures a wealth of exercises at the end of each chapter that challenge students to hone their theoretical skills and scrutinize the empirical relevance of modelsAccompanied by a website with lecture slides for every chapter

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

The potential failure of a large bank presents vexing questions for policymakers. It poses significant risks to other financial institutions, to the financial system as a whole, and possibly to the economic and social order. Because of such fears, policymakers in many countries—developed and less developed, democratic and autocratic—respond by protecting bank creditors from all or some of the losses they otherwise would face. Failing banks are labeled "too big to fail" (or TBTF). This important new book examines the issues surrounding TBTF, explaining why it is a problem and discussing ways of dealing with it more effectively. Gary Stern and Ron Feldman, officers with the Federal Reserve, warn that not enough has been done to reduce creditors' expectations of TBTF protection. Many of the existing pledges and policies meant to convince creditors that they will bear market losses when large banks fail are not credible, resulting in significant net costs to the economy. The authors recommend that policymakers enact a series of reforms to reduce expectations of bailouts when large banks fail.