Residential mobility in Dutch housing markets
A one percent stratified random sample of all Dutch households (comprising 62 000 households) is used to examine mobility in the Dutch housing market. Two techniques, proportional reduction in uncertainty (PRU), and logit analysis are used to evaluate the relative contribution of independent variables in explaining mobility across the tenure types and by housing market regions. The PRU technique is used to select the best variables and to simplify the categories of those variables before logit analyses. Given a reduced set of variables and combinations of categories, logit models are utilized to provide parameter estimates of the contributions of the independent variables. The PRU technique shows that it is possible to make considerable simplifications in the combinations of categories for variables, and the logit models (for owners, public renters, and private renters) indicate distinct differences in the combinations of variables which are most appropriate in each of these sectors. In particular, the logit analysis shows that the relationship between age and mobility is almost linear, but between income and mobility it is curvilinear, and that evaluating interaction effects adds significantly to our understanding of the reason to move or to stay. The models show that it is necessary to treat the three tenure sectors separately, even though age, just as we expected, dominates all sectors in terms of its explanatory power. Although there are not large regional effects, the models change for different regions of the country.
If you experience problems downloading a file, check if you have the proper application to view it first. 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.
When requesting a correction, please mention this item's handle: RePEc:pio:envira:v:18:y:1986:i:6:p:763-788. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.