We investigate the common conjecture in applied econometric work that the inclusion of
spatial fixed effects in a regression specification for a single cross‐sectional data set …

The current literature often values intangible goods like cultural heritage by applying stated
preference methods. In recent years, however, the increasing availability of large databases …

This article discusses how standard spatial autoregressive models and their estimation can
be extended to accommodate geographically hierarchical data structures. Whereas …

Although a number of researchers have used the hedonic pricing model to value transit
improvements by comparing prices of real estate properties within a certain distance from a …

In the aftermath of the recent boom and bust of US real estate, both a refinement and a
deeper understanding of real estate valuation methods have become critical concerns …

The objective of this study was to propose and test a methodology that allow destination
managers and hoteliers improve the allocation of resources. For this purpose, this paper …

Individual behavior is influenced by factors intrinsic to the decision-maker but also
associated with other individuals and their ownerships with such relationship intensified by …

Small-sized housing samples and price predictions at nonobserved locations require
geostatistical approaches, particularly the kriging estimator. Nevertheless, geostatistics has …

This paper introduces an integrative approach to hedonic house price modeling which
utilizes high density 3D airborne laser scanning (ALS) data. In general, it is shown that …

The recent progress of spatial econometrics has developed a new technique called the
“spatial hedonic approach,” which considers the elements of spatial autocorrelation among …