Agent Based Models For Economic Policy Advice Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Agent Based Models For Economic Policy Advice book. This book definitely worth reading, it is an incredibly well-written.
Agent Based Models for Economic Policy Advice by Blake LeBaron,Peter Winker Pdf
This special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.
Agent-Based Modelling in Economics by Lynne Hamill,Nigel Gilbert Pdf
Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.
Agent-based Models of the Economy by R. Boero,M. Morini,M. Sonnessa,P. Terna Pdf
Agent-based models are tools that provide researchers in economic fields with unprecedented analytical capabilities. This book describes the power of agent-based models along their methodology, and it provides several examples of applications spanning from public policy evaluation to financial markets.
Agent-Based Models in Economics by Domenico Delli Gatti,Giorgio Fagiolo,Mauro Gallegati,Alberto Russo Pdf
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.
Economics with Heterogeneous Interacting Agents by Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati Pdf
This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.
Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-based-models-2e.
Institute of Medicine,Board on Population Health and Public Health Practice,Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation
Author : Institute of Medicine,Board on Population Health and Public Health Practice,Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation Publisher : National Academies Press Page : 290 pages File Size : 40,6 Mb Release : 2015-07-17 Category : Medical ISBN : 9780309317252
Assessing the Use of Agent-Based Models for Tobacco Regulation by Institute of Medicine,Board on Population Health and Public Health Practice,Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation Pdf
Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products - specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco - to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future.
Agent-based Models of the Economy by R. Boero,M. Morini,M. Sonnessa,P. Terna Pdf
Agent-based models are tools that provide researchers in economic fields with unprecedented analytical capabilities. This book describes the power of agent-based models along their methodology, and it provides several examples of applications spanning from public policy evaluation to financial markets.
Economics with Heterogeneous Interacting Agents by Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati Pdf
This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.
The Oxford Handbook of Computational Economics and Finance by Shu-Heng Chen,Mak Kaboudan,Ye-Rong Du Pdf
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.
Network Theory and Agent-Based Modeling in Economics and Finance by Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji Pdf
This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.
Innovation Networks for Regional Development by Ben Vermeulen,Manfred Paier Pdf
This book brings together original research on the role of networks in regional economic development and innovation. It presents a comprehensive framework synthesizing extant theories, a palette of real-world cases in the aerospace, automotive, life science, biotechnology and health care industries, and fundamental agent-based computer models elucidating the relation between regional development and network dynamics. The book is primarily intended for researchers in the fields of innovation economics and evolutionary economic geography, and particularly those interested in using agent-based models and empirical case studies. However, it also targets (regional) innovation policy makers who are not only interested in policy recommendations, but also want to understand the state-of-the-art agent-based modeling methods used to experimentally arrive at said recommendations.
Economic Policy and the Financial Crisis by Łukasz Mamica,Pasquale Tridico Pdf
The consequences of the global economic crisis which started in the United States in 2007-08 are still being felt in most of the advanced economies, and the mainstream tools of recovery are not having the required results. It seems that many of the after-effects of the crisis, including the instability of the financial markets, increasing public debts and limited economic growth, require new solutions from both economic policy and theory. Lower aggregate demand during the crisis increased the pressure on firms to be more competitive and at the same time, the crisis in the banking system has had a negative impact on the willingness of financial institutions to give credit to companies for investment. Therefore, the key issue for current economic policy is to find a balance between the stabilisation of public finance and maintaining the momentum of long-term growth. This book offers an evolutionary-developmental analysis, combining elements of neo-Schumpeterian economics, institutional economics and post-Keynesian economics, to show that selection processes within an economy, and the institutional rules shaping those processes, are substantially more important than usually recognised by evolutionary economic theory. Two major challenges for economic theory and policy, in particular, have emerged during the crisis. The first is the rise of unemployment coupled with growing public deficits. The second is the financial instability which threatens the permanence of economic development. This book examines the performance of the advanced economies since the crisis and explores why some of them have been more successful in tackling these challenges than others. It is argued that the reasons for the varied performances of these economies lie in the economic policies which were introduced before and in the aftermath of the crisis and the differences in the regulation of their labour markets. This volume will be of interest to students and academics in the areas of macroeconomics, public economics and public management.
