Theoretical models on the selling process in the housing market are scarce. Taylor (1999) specifies a model where time-on-the-market gives a quality signal of the house to potential buyers if inspection outcomes of the house are not public. We specify a duration model with competing risks, where...

This paper proposes a methodology for using machine learning regression models to create price indices. In our study we developed six commercial real estate price indeces for the city of New York from year 2000 to 2019. The regression models used in this study are eXtreme Gradient Boosting Tree...

We introduce a hedonic price model which enables us to disentangle the value of a property into the value of land and the value of structure. For given reconstruction costs we are able to estimate the impact of physical deterioration, functional obsolescence and vintage effects on the structure...

This paper deals with unobserved heterogeneity in hedonic price models, arising from missing property and locational characteristics. In specific, commercial real estate is very heterogeneous, and data on detailed property characteristics are often lacking. We show that adding mutually...

In this paper we combine a random effects model with different machine learning algorithms via an iterative process when predicting commercial real estate asset values. Using both random effects and machine learning allows us to combine the strengths of both approaches. The random effects will...

In this paper we combine a random effects model with different machine learning algorithms via an iterative process when predicting commercial real estate asset values. Using both random effects and machine learning allows us to combine the strengths of both approaches. The random effects will...

Geographically and temporally granular housing price indexes are difficult to construct. Data sparseness, in particular, is a limiting factor in their construction. In this paper, we introduce a new methodology to construct Census tract level indexes on a quarterly basis that can accommodate...

The repeat sales model is commonly used to construct reliable house price indices in absence of individual characteristics of the real estate. Several adaptations of the original model are proposed in literature. They all have in common using a dummy variable approach for measuring price...