{ "item_title" : "Agent-Based Modelling in Economics", "item_author" : [" Lynne Hamill "], "item_description" : "Agent-based modelling in economicsLynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UKNew 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 featuresIntroduces 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/11/845/607/1118456076_b.jpg", "price_data" : { "retail_price" : "71.95", "online_price" : "71.95", "our_price" : "71.95", "club_price" : "71.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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