"This paper reviews, appraises, and critiques theoretical and empirical research on the connections between the operation of the financial system and economic growth. While subject to ample qualifications and countervailing views, the preponderance of evidence suggests that both financial intermediaries and markets matter for growth and that reverse causality alone is not driving this relationship. Furthermore, theory and evidence imply that better developed financial systems ease external financing constraints facing firms, which illuminates one mechanism through which financial development influences economic growth. The paper highlights many areas needing additional research"--NBER website

This book contains the most sustained and serious attack on mainstream, neoclassical economics in more than forty years. Nelson and Winter focus their critique on the basic question of how firms and industries change overtime. They marshal significant objections to the fundamental neoclassical assumptions of profit maximization and market equilibrium, which they find ineffective in the analysis of technological innovation and the dynamics of competition among firms. To replace these assumptions, they borrow from biology the concept of natural selection to construct a precise and detailed evolutionary theory of business behavior. They grant that films are motivated by profit and engage in search for ways of improving profits, but they do not consider them to be profit maximizing. Likewise, they emphasize the tendency for the more profitable firms to drive the less profitable ones out of business, but they do not focus their analysis on hypothetical states of industry equilibrium. The results of their new paradigm and analytical framework are impressive. Not only have they been able to develop more coherent and powerful models of competitive firm dynamics under conditions of growth and technological change, but their approach is compatible with findings in psychology and other social sciences. Finally, their work has important implications for welfare economics and for government policy toward industry.

This Element introduces the replicator dynamics for symmetric and asymmetric games where the strategy sets are metric spaces. Under this hypothesis the replicator dynamics evolves in a Banach space of finite signed measures. The authors provide a general framework to study the stability of the replicator dynamics for evolutionary games in this Banach space. This allows them to establish a relation between Nash equilibria and the stability of the replicator for normal a form games applicable to oligopoly models, theory of international trade, public good models, the tragedy of commons, and War of attrition game among others. They also provide conditions to approximate the replicator dynamics on a space of measures by means of a finite-dimensional dynamical system and a sequence of measure-valued Markov processes.

While dating from post-Classical economists such as Thorstein Veblen and Joseph Schumpeter, the inception of the modern field of evolutionary economics is usually dated to the early 1980s. Broadly speaking, evolutionary economics sees the economy as undergoing continual, evolutionary change. Evolutionary change indicates that these changes were not planned, but rather were the result of innovations and selection processes. These often involved winners and losers, but most importantly, they resulted in actors learning what was and was not working. Evolutionary economics, in contrast to mainstream economics, emphasises the relevance of variables such as technology, institutions, decision rules, routines, or consumer preferences for explaining the complex evolutionary changes in the economy. In so doing, evolutionary economics significantly broadens the scope of economic analysis, and sheds new light on key concepts and issues of the discipline. This handbook draws on a stellar cast list of international contributors, ranging from the founders of the field to the newest voices. The volume explores the current state of the art in the field of evolutionary economics at the levels of the micro (e.g. firms and households), meso (e.g. industries and institutions), and macro (e.g. economic policy, structure, and growth). Overall, the Routledge Handbook of Evolutionary Economics provides an excellent overview of current trends and issues in this rapidly developing field.

Provides an in-depth overview of the Federal Reserve System, including information about monetary policy and the economy, the Federal Reserve in the international sphere, supervision and regulation, consumer and community affairs and services offered by Reserve Banks. Contains several appendixes, including a brief explanation of Federal Reserve regulations, a glossary of terms, and a list of additional publications.

Contemporary Financial Intermediation, 4th Edition by Greenbaum, Thakor, and Boot continues to offer a distinctive approach to the study of financial markets and institutions by presenting an integrated portrait that puts information and economic reasoning at the core. Instead of primarily naming and describing markets, regulations, and institutions as is common, Contemporary Financial Intermediation explores the subtlety, plasticity and fragility of financial institutions and credit markets. In this new edition every chapter has been updated and pedagogical supplements have been enhanced. For the financial sector, the best preprofessional training explains the reasons why markets, institutions, and regulators evolve they do, why we suffer recurring financial crises occur and how we typically react to them. Our textbook demands more in terms of quantitative skills and analysis, but its ability to teach about the forces shaping the financial world is unmatched. - Updates and expands a legacy title in a valuable field - Holds a prominent position in a growing portfolio of finance textbooks - Teaches tactics on how to recognize and forecast fluctuations in financial markets

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.