Comments (2)
As currently implemented, we create new households in the aggregate, according to the national birth probability of first-time buyers and then we distribute them geographically in proportion to the number of jobs in each region. This should be made clear in the paper and model documentation, as there are obvious caveats. To be discussed with Doyne.
from spatial-housing-model.
Bugs and utilities for new algorithm solved or implemented at a553d22, bf306a1, fed9178, c7a9ca1.
New algorithm, which derives the birth rate endogenously to match a target population with a given distribution of ages at birth and a given probability to die dependent on age, implemented at commit f214e49
from spatial-housing-model.
Related Issues (20)
- Remove parameter RENT_GROSS_YIELD
- No statistics are kept for rental prices HOT 1
- Review all the setActive, isActive stuff within the collectors HOT 1
- BTL investors should be able to invest in different regions HOT 2
- Need different reference price for rental HOT 1
- Average Days or Months on Market HOT 1
- Cap factor at getDesiredPurchasePrice (HouseholdBehaviour)
- Rethink number of rounds at the clearing mechanism within the HousingMarket
- Port decideToSellHome bug solution from non-spatial code HOT 2
- The definition of buyer in the class of HouseBuyerRecord is not correct. HOT 4
- Bring parameters updates and other bug solutions from non-spatial code HOT 2
- Subtract commuting cost from bank balance HOT 2
- Remove Authority subclass from housingMarket HOT 1
- Replace Distance class and all corresponding files by commuting times HOT 1
- Re-organise commuting algorithm methods between Household and HouseholdBehaviour classes HOT 1
- Debug new commuting algorithm HOT 1
- Remove decideRentOrPurchaseOld HOT 1
- Remove serialization from all classes HOT 1
- Add total or average commuting cost as output HOT 1
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