English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Hedonic price is the most popular determinant of housing market segmentation. Nonetheless, hedonic regression is often criticized for not being able to tackle heterogeneity of hedonic price of urban scapes, which creates structural instability in the regression. Spatial switching regression is used in this paper to develop localized hedonic regression ensuring constancy of the parameters within each localized regression. Central Tokyo and the outskirts are clearly divided into two segments. This research provides a new dimension to the existing methods of housing market segmentation. Additionally, this research also improves the predictive capability and model fitting statistics of hedonic regression

Addressing Structural Instability in Housing Market Segmentation of the Used Houses of Tokyo, Japan