Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects PDF Author: Tohid Atashbar
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 32

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Book Description
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects PDF Author: Tohid Atashbar
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 32

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Book Description
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.

AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC Model

AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC Model PDF Author: Tohid Atashbar
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 31

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Book Description
This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the technological shock and the other is stochastic. The objective of the deterministic environment is to compare the learning agent's behavior to a deterministic steady-state scenario. We demonstrate that in both deterministic and stochastic scenarios, the agent's choices are close to their optimal value. We also present cases of unstable learning behaviours. This AI-macro model may be enhanced in future research by adding additional variables or sectors to the model or by incorporating different DRL algorithms.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance PDF Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

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Book Description
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.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence PDF Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Technology and the Future of Work

Technology and the Future of Work PDF Author: Balwant Singh Mehta
Publisher: Taylor & Francis
ISBN: 1040155367
Category : Social Science
Languages : en
Pages : 233

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Book Description
This book examines how the progress of digital technology is transforming the world of work, skill demand, labour market institutions, and regulations in countries like India. It studies the challenges, opportunities, and current and future contributions of digital technologies. The volume poses salient questions regarding the ICT sector, I4.0 technologies, the gig economy, remote work, and the regulatory environment, and interrogates the policy and regulatory measures needed to promote more inclusive and decent work in the future. Part of the Towards Sustainable Futures series, this book will be an essential read for scholars and researchers of economics, sustainable development, sociology of work, labour economics, Indian economy, public policy, and human resource management. It will also be extremely useful to policymakers, government organisations, civil society organisations, and those in the corporate sector.

The Fourth Industrial Revolution

The Fourth Industrial Revolution PDF Author: Klaus Schwab
Publisher: Crown Currency
ISBN: 1524758876
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

Macroeconomics

Macroeconomics PDF Author: Olivier Blanchard
Publisher:
ISBN: 9781292360911
Category : Europe
Languages : en
Pages : 0

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Book Description
This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. For intermediate courses in economics. A unified view of the latest macroeconomic events In Macroeconomics, Blanchard presents an integrated, global view of macroeconomics, enabling students to see the connections between goods markets, financial markets, and labor markets worldwide. Organized into two parts, the text contains a core section that focuses on short-, medium-, and long-run markets and two major extensions that offer more in-depth coverage of the issues at hand. From the major economic crisis that engulfed the world in the late 2000s, to monetary policy in the US, to the problems of the Euro area, and growth in China, the text helps students make sense not only of current macroeconomic events but also of those that may unfold in the future. Integrated, detailed boxes in the 8th Edition have been updated to convey the life of macroeconomics today, reinforce lessons from the models, and help students employ and develop their analytical and evaluative skills. Also available with MyLab Economics By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

The Ocean Economy in 2030

The Ocean Economy in 2030 PDF Author: OECD
Publisher: OECD Publishing
ISBN: 9264251723
Category :
Languages : en
Pages : 256

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Book Description
This report explores the growth prospects for the ocean economy, its capacity for future employment creation and innovation, and its role in addressing global challenges. Special attention is devoted to the emerging ocean-based industries.

Handbook of US Consumer Economics

Handbook of US Consumer Economics PDF Author: Andrew Haughwout
Publisher: Academic Press
ISBN: 0128135247
Category : Business & Economics
Languages : en
Pages : 456

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Book Description
Handbook of U.S. Consumer Economics presents a deep understanding on key, current topics and a primer on the landscape of contemporary research on the U.S. consumer. This volume reveals new insights into household decision-making on consumption and saving, borrowing and investing, portfolio allocation, demand of professional advice, and retirement choices. Nearly 70% of U.S. gross domestic product is devoted to consumption, making an understanding of the consumer a first order issue in macroeconomics. After all, understanding how households played an important role in the boom and bust cycle that led to the financial crisis and recent great recession is a key metric.

Machine-learning Techniques in Economics

Machine-learning Techniques in Economics PDF Author: Atin Basuchoudhary
Publisher: Springer
ISBN: 3319690140
Category : Business & Economics
Languages : en
Pages : 97

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Book Description
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.