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

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 examine in Social Simulation (CRESS), collage of Surrey, UK


New tools of monetary modelling were sought as a result international monetary downturn in 2008.This detailed booklet 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. in contrast to conventional tools, ABM doesn't require humans or organisations to optimise or fiscal structures to arrive equilibrium. ABM bargains the way to hyperlink micro foundations on to the macro situation. 


Key features:

  • Introduces the concept that of agent-based modelling and indicates the way it differs from current approaches.
  • Provides a theoretical and methodological cause for utilizing ABM in economics, in addition to sensible suggestion on easy methods to layout and create the models.
  • Each bankruptcy begins with a quick precis of the correct monetary thought after which indicates find out how to follow ABM.
  • Explores either subject matters lined in uncomplicated economics textbooks and present vital coverage issues; unemployment, trade charges, banking and environmental issues.
  • Describes the types in pseudocode, permitting the reader to increase courses of their selected language.
  • Supported through an internet site that includes the NetLogo types defined within the book.


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


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Sample text

This may leave some items not available on this stall and therefore yet to be bought. To find which items were not bought, because they were not in the stall’s stock, we take the list of purchases, work through it item by item and remove from the shopping list those items that have been bought (lines 45 to 48). Now that the shopper has bought everything it wants that is available from this trader, it is time to check whether there is more shopping to do. If the shopping list is now empty, the shopper is moved to the edge of the grid to be out of the way.

21). 4. 102). 2. 6. 6. 6, and plotting the total against the price to generate that total. In other words, the macro aggregate demand curve has been created from micro assumptions about households’ budgets and utility functions. 4 Assumed budget shares (alphas) for food. 5 Results: distribution of budget shares generated by model (based on a single run using 1000 agents). 6 Results: demand for food based on a Cobb–Douglas utility function (based on a single run of 1000 agents). The impact of price changes on demand is measured by the own‐price elasticity (called ‘own‐price’ to distinguish it from cross‐price elasticities, which measure the effect of a change in the price of one good on the demand for another and which are not used here).

2 Modelling basic consumer demand theory A household’s demand for a good depends on its tastes, its budget, the price of the good in question and the prices of other goods. Tastes, or more formally preferences, can be modelled by a utility function, from which indifference curves are generated, showing which combinations of goods generate the same level of utility. The slope of an indifference curve therefore shows how much of one good the household is willing to give up for more of the other or, put formally, the marginal rate of substitution (MRS).

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

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