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Spatial agent-based model of the UK housing market.

License: MIT License

Java 100.00%
agent-based-modeling agent-based-simulation agent-based economics housing housing-market uk-housing-market

spatial-housing-model's Introduction

A Spatial Agent-Based Model of the UK Housing Market

This is a spatial agent-based model of the UK housing market written by the Institute of New Economic Thinking (INET) at the Oxford Martin School, University of Oxford. It is based on a previous non-spatial model developed by INET in collaboration with the Bank of England. A detailed description of this initial non-spatial model can be found as a Staff Working Paper of the Bank of England .

The spatial model, while keeping the same agents as in the non-spatial version (owner-occupiers, renters, buy-to-let investors, a private bank, a central bank, a construction sector, and a government), incorporates a number of spatial features with their corresponding agent behaviours. Namely, households have to decide where to bid for housing given a certain spatial distribution of prices and commuting costs. These decisions, in turn, feed back into the market mechanism, possibly modifying the spatial distribution of prices.

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spatial-housing-model's Issues

Average Days or Months on Market

These quantities are currently computed as "flow" variables, i.e., as averages over properties sold this month. Given that the number of properties sold a month can be quite small, wouldn't it make more sense to use instead "stock" variables, i.e., to average over all properties currently on offer in the market?

Revise DecideToSellHome method within HouseholdBehaviour

This method includes 2 unidentified fudge parameters, DECISION_TO_SELL_HPC and DECISION_TO_SELL_INTEREST, which are explicitly explained otherwise in the manuscript. The method explained in the manuscript should be implemented and tested.

Move handleInputArguments to utilities

A new class InputArgumentsHandler should be created within utilities to store the current handleInputArguments method. Then outputFolder and configFileName can be obtained within the Model class through getters at the InputArgumentsHandler class.

Need different reference price for rental

Currently RentalMarketStats, RegionalRentalMarketStats call through their constructor the constructor at HousingMarketStats, RegionalHousingMarketStats, which initiates reference prices from data/HouseSaleMarket.

Remove parameter RENT_GROSS_YIELD

Replace this parameter by a different way of initialising the average yield variables, such as real average rental prices (reference prices for rental market) (times 12 months) divided by the sale market reference prices.

Revise inheritance at Demographics

Currently, inheritance is always done at random and within the same region (which is the jobRegion of the households, not even the region where they live!). We should think of how to improve on this.

Improve households HPA expectations with exponential average of annual HPA

Replace current longTermHousePriceAppreciation field (and getLongTermHPA method) within both regionalHousingMarketStats and housingMarketStats in order to implement an exponential moving average. Thus, the current parameter HPA_YEARS_TO_CHECK would also need to be replaced with the corresponding smoothing parameter of the exponential average.

Rethink Demographics (remove fudge multiplier!)

Need to remove the fudge multiplier introduced at Demographics so as to ensure that the model would reach the target number of households. This fudge parameter should be removed or its value re-defined so as to make it adaptable to different system sizes.

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