Answers are grounded in this paper and cite their sources.
A new housing choice forecasting model is developed here to answer a practical question: how to forecast housing demand at a disaggregate level. Being different from the previous housing choice models, this model is derived from housing sub-market structure based on a random utility approach. Housing choice is thought to be a joint choice of all the components associated with a dwelling, These components create a huge bundle of dwelling alternatives resulting in an empirical calculation problem. To avoid this problem, the model developed in this paper separates the joint choice behaviour into two stages: the choices of the key dwelling components which construct the housing sub-markets and the choices of the non-key dwelling components which distinguish individual dwellings in each housing sub-market. Some policy simulations are presented based on this model.
No takes yet. Share an insight, caveat, or question.
Tu et al. (1996) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: