• Alleviating child poverty
• Labour market reforms
• Tackling Traffic Congestion
• Determining a house price
• Interrelationship between markets
• The advertising elasticity of demand (AED)
• The cross price elasticity of demand (CPED)
• The price elasticity of demand (PED)

The objective of this simulation is to devise a package of measures that will reduce the level of child poverty in the UK.

The policy measures at your disposal include tax and benefit instruments, such as, income tax, minimum wage, child benefit and working families tax credit.

The impact of your policies are assessed in terms of the number of children in poverty and the extent to which the gains are concentrated on the target group.

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The objective of this simulation is to illustrate how different labour market reforms can influence the hours worked by an individual.

The policy measures are based on tax and benefit options, these include income tax rates, tax allowances, child benefits and the working families tax credit.

The impact of the policies are assessed in terms of the number of hours worked by different income groups. Particular emphasis is placed on the application of indifference curve analysis.

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The objective of this simulation is to devise a package of measures that will reduce the level of road congestion in London, UK.

The policy measures at your disposal, include changing market signals, changing road provision and the use of regulation / legislation.

Your policies are assessed in terms of the number of passengers and vehicles miles per year, the revenues and costs of different modes of transport.

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The objective is to simulate the behaviour of the housing market. This involves modeling how the demand and supply conditions for housing change and the consequences on both the price and quantity.

The simulation allows you to manipulate both demand and supply side determinants, as well as the elasticity conditions.

You can download the simulation as an Excel Spreadsheet.

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The objective of the interrelationship between markets simulation is to examine how changes in the demand and supply conditions of one good (coffee) can influence the demand and supply conditions of other goods (tea and milk).

The simulation includes the use of price, cross price, advertising and income elasticity of demand values as well as the price elasticity of supply. The demand and supply conditions for coffee are influenced by world income, income and corporation tax levels, the level of advertising and weather conditions.

The output variables include the price, quantity and the total revenue for each good.

You can download the simulation as a Excel Spreadsheet.

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The objective of this simulation is to investigate how the AED is calculated and how it can be applied.

The input area is divided into two sections, one section to calculate the AED, the other investigates the impacts for a given AED. The input variables include the original level of advertising, price and quantity, and the new levels of advertising and quantity. The input area also allows for the inclusions of costs per unit of advertising.

The output variables include the AED, the total revenue, the total costs and the profit level.

You can download the simulation as an Excel Spreadsheet.

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The objective of this simulation is to illustrate how to calculate and apply the CPED. The output variables include the calculation of the CPED and the impact on an individual products total revenue.

The input variables include the initial and final price of the Good X, the initial and final quantity of Good Y and the price of Good X.

You can download the simulation as an Excel Spreadsheet.

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The objective of this simulation is to illustrate how to calculate and apply the PED.

The input area is divided into two sections, one area is concerned with calculating the PED, the other investigates the impacts of a user defined PED. The input variables include the original price and quantity, and the new price and quantity. Alternatively, the user can set the PED and investigate the consequences of a percentage change in price on total revenue.

You can download the simulation as an Excel Spreadsheet.

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