xsmle is a new user-written command for spatial analysis. We consider the quasi–maximum
likelihood estimation of a wide set of both fixed-and random-effects spatial models for …

In this article, we review quantile models with endogeneity. We focus on models that achieve
identification through the use of instrumental variables and discuss conditions under which …

Despite its long history, hedonic pricing for housing valuation remains an active research
area, and applications of new estimation methods continually push research frontiers …

We provide an overview of linear quantile regression models for continuous responses
repeatedly measured over time. We distinguish between marginal approaches, that explicitly …

Abstract Analysis of changes over time in the spatial structure of housing prices provides
reliable information to infer latent patterns and processes of urban growth. Although the …

Environmental goods are sometimes considered a luxury that only the rich can afford. This is
no less true in the case of green spaces. However, a typical microeconomic lens is not …

Educational facilities are valued highly by citizens and play an important part in improving
housing prices. Most existing studies applied the hedonic price model to obtain the average …

BACKGROUND Demography is an inherently spatial science, yet the application of spatial
data and methods to demographic research has tended to lag that of other disciplines. In …

Quantile regression analysis differs from more conventional regression models in its
emphasis on distributions. Whereas standard regression procedures show how the …

To seek mitigation strategies of urban heat island (UHI), many statistical methods have been
applied to quantitatively explore the impact of driving factors on UHI. Nonetheless, the …