New PDF release: Agent-based modelling in economics

By Lynne Hamill, Nigel Gilbert

ISBN-10: 1118945506

ISBN-13: 9781118945506

ISBN-10: 1118945514

ISBN-13: 9781118945513

ISBN-10: 1118945522

ISBN-13: 9781118945520

Agent-based modelling in economics


Lynne Hamill and Nigel Gilbert, Centre for learn in Social Simulation (CRESS), collage of Surrey, UK


New equipment of financial modelling were sought as a result international fiscal downturn in 2008.This distinctive e-book highlights some great benefits of an agent-based modelling (ABM) method. It demonstrates how ABM can simply deal with complexity: heterogeneous humans, families and companies interacting dynamically. not like conventional tools, ABM doesn't require humans or businesses to optimise or fiscal platforms to arrive equilibrium. ABM deals the way to hyperlink micro foundations on to the macro situation. 


Key features:

  • Introduces the idea that of agent-based modelling and indicates the way it differs from present approaches.
  • Provides a theoretical and methodological reason for utilizing ABM in economics, besides functional recommendation on how you can layout and create the models.
  • Each bankruptcy begins with a brief precis of the proper financial thought after which indicates find out how to observe ABM.
  • Explores either themes lined in uncomplicated economics textbooks and present very important coverage topics; unemployment, alternate premiums, banking and environmental issues.
  • Describes the versions in pseudocode, allowing the reader to improve courses of their selected language.
  • Supported by way of an internet site that includes the NetLogo types defined within the book.


Agent-based Modelling in Economics provides scholars and researchers with the abilities to layout, enforce, and research agent-based versions. 3rd 12 months undergraduate, grasp and doctoral scholars, college economists will locate this publication a useful resource.


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Extra resources for Agent-based modelling in economics

Example text

Nevertheless, the richest quintile actually pay 32% of the total tax revenue compared to only 12% paid by the poorest because the rich spend more on food. 1. Furthermore, the representative agent approach is especially weak in the case of the luxury good which the average household does not consume at all. If the average price e­ lasticity of (−) 2 were applied, demand would fall by 20% and expenditure by 12%. The model using heterogeneous agents suggested a few households would actually stop consuming altogether and total expenditure would fall by 8%, less than the 12% suggested by the representative agent model.

Source: ONS (2011). Thus, households have different incomes, different tastes and different spending patterns. While the spending pattern of the average household may be useful for certain purposes, such as constructing a consumer price index, it is very likely that no household actually spent their budget in that way. Consumers are heterogeneous. One of the key benefits of agent‐based modelling is its ability to deal with heterogeneity, and this chapter demonstrates how this can be done. 2 an agent-based model for basic textbook consumer demand theory is developed.

But if the own‐price elasticity is less than one, total expenditure will rise if the price is increased; and if the elasticity is more than one, expenditure will fall. Given the Cobb–Douglas utility function, a household’s demand for a good depends on the good’s price, the household’s budget, and the good’s budget share in that household (as previously discussed). Because neither the budget nor the budget share changes when the price changes, the amount spent on the good in question does not change, so the own‐price elasticity is always (−) one for small changes.

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Agent-based modelling in economics by Lynne Hamill, Nigel Gilbert

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