A Practical Guide to Macroeconomics by Jeremy B. RuddThere is an uncomfortably large gulf between academic research and what policy economists use to understand the economy. A Practical Guide to Macroeconomics shows how economists at policy institutions approach important real-world questions and explains why existing academic work - theoretical and empirical - has little to offer them. It argues that this disconnect between theory and practice is problematic for policymaking and the economics profession and looks at what's needed to make academic research more relevant for policy. The book also covers topics related to economic measurement and provides a compact overview of US macroeconomic statistics that will help researchers use these data in a better-informed way.
ISBN: 9781009465779
Publication Date: 2024-03-28
Reconsidering Central Bank Independence by Stan Du Plessis; Andreas Freytag; Dawie van LillCentral bank independence has become one of the most widely accepted tenets of modern monetary policy. According to this view, the main role of independent central banks is to maintain price stability through the adjustment of short-term interest rates. Reconsidering Central Bank Independence argues that the global financial crisis has undermined confidence in this view as central banks increasingly have to address concerns other than price stability, such as financial stability, the need for output recovery and other broader policy goals. Large balance-sheet expansion by central banks followed the global financial crisis, which overlapped considerably with the financial policy of their respective governments. Exploring the consequences of this shift to a more diverse set of policy challenges, this book calls for a return to the consensus role for central banks and analyses what this might mean for their future independence.
ISBN: 9781108681186
Publication Date: 2024-04-25
Impact of Renewable Energy on Corporate Finance and Economics by Ali Ahmadi (Editor)The world faces escalating challenges in sustainable development, corporate social responsibility, and green finance, compounded by the complexities of accounting and modern economics. These challenges demand urgent solutions that recognize their gravity and offer tangible, actionable strategies. Traditional approaches need to be revised in the face of these multifaceted issues, requiring a fresh perspective and innovative solutions to navigate the complexities of today's global economies. Impact of Renewable Energy on Corporate Finance and Economics provides a comprehensive and timely solution to these pressing challenges. Through a meticulous examination of real-world case studies and proven strategies, this book offers a roadmap for stakeholders to address these issues effectively. It explores sustainable finance mechanisms, collaborative stakeholder efforts, and visionary project objectives that have successfully overcome these obstacles. By delving into topics such as the renewable revolution, sustainable infrastructure transformations, and climate finance, the book equips readers with the knowledge and tools to confidently navigate the sustainable development landscape. This book is essential for researchers, professionals, policymakers, and business leaders seeking to understand the intricate relationship between renewable energy, corporate finance, and economics. It is a valuable resource for those looking to integrate sustainable practices into their decision-making processes. It offers practical guidance for leveraging digital technologies to address social and environmental challenges. With its holistic approach and actionable insights, this book is a must-read for anyone passionate about driving positive change in our world.
Limit Theorems for Nonlinear Cointegrating Regression by Qiying WangThis book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak convergence to a local time process, weak convergence to a mixture of normal distributions and weak convergence to stochastic integrals. This book also investigates estimation and inference theory in nonlinear cointegrating regression.The core context of this book comes from the author and his collaborator's current researches in past years, which is wide enough to cover the knowledge bases in nonlinear cointegrating regression. It may be used as a main reference book for future researchers.