Most of the existing literature on residential location choice is cross-sectional and assumes no history effect in people’s residential location preferences. However, human beings are constantly adjusting themselves to the local environment and thus it seems reasonable to assume that preferences are formed over time. We hypothesize a historical deposition effect, which states that people’s location preferences are likely to be a function of the attributes of where they lived before. Furthermore, this historical deposition influence can interact with lifecycle, such that it can become less important or insignificant during a life stage, like parenthood. Our study tests the existence of the historical deposition effect and analyzes its interaction with lifecycle. The study results support the historical deposition influence. Furthermore, we show that the historical deposition effect can be subdued by parenthood. The study also makes a methodological contribution by developing a distance-based GEV (generalized extreme value) model to account for spatial correlation. Spatial correlation is rarely treated in existing studies. The few existing studies typically assume a constant spatial correlation coefficient for adjacent zones. The distance-based GEV model relaxes the constant coefficient assumption and allows a distance-based correlation between nonadjacent zones. The results confirm this distance-based spatial correlation.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 41 (2009) Issue (Month): 11 (November) Pages: 2760-2777 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF