Abstract
Traditionally, residential choice—a classical theme in geographical analysis— is tackled using revealed preference methods (based on observed realworld behaviour). More recently, however, stated preference modelling has raised an increasing interest among geographers. This methodology rests on stated evaluations of choice items that are collected in a controlled experiment. This paper shows that some characteristics of housing goods and markets generate specific advantages while others raise problems when applying stated preference decompositional modelling to residential choice. The advantages come from the control of the experiment by the analyst. The problems arise because of the possibly poor validity and transferability of residential choice models and because of the high complexity and importance of housing choice for most households. As a conclusion a large research agenda is opened, since theoretical, methodological, and empirical progresses have to be accomplished in order to make applications of stated residential preference models more reliable.
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