Panel data in housing research: A reaction to the paper by Myers on cohort longitudinal estimation of housing careers

被引:2
|
作者
Dieleman, FM [1 ]
机构
[1] Univ Utrecht, Fac Geog Sci, Urban Res Ctr Utrecht, NL-3508 TC Utrecht, Netherlands
关键词
cross-sectional data; panel data; housing market dynamics; housing career;
D O I
10.1080/02673030020015155
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Both cross-sectional and panel data can be used to analyse the dynamics of housing markets over time. Myers proposes the method of longitudinal cohort analysis of repeated cross-sectional data for the study of trends in housing market circumstances. He emphasises the problems and limitations of the use of panel data for such purposes. In this article it is argued that Myers underestimates the potentials of panel data for the study of housing market dynamics over time. Panel data are now relatively easy to obtain and use, also for the analysis of long-term changes in housing markets. Prices and turnover rates in housing markets have been shown to be strongly auto-correlated across geographical space. Therefore, panel data can be used to analyse regional differences in housing markets, even if these data have a relatively small sample size.
引用
收藏
页码:115 / 121
页数:7
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