This paper compares the results of two models, one hedonic and other geostatistical, when obtaining housing price estimates in Rumiñahui canton, Ecuador. In first model, different parameterizations variables that make up model are used to obtain best predictions. For geostatistical case, predictions composed a trend function depends on certain characteristics spatial error term, which is modele...

We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based models (GLM). Using intrinsic extrinsic factors available from Redfin, we show that GAM is capable describing 84% to 92% variance expected ln(sales price), based upon 2021 data. In con...

This paper estimates hedonic price models for a sample of 610 vacation rental houses located in the vicinity of a lake and four-season ski-golf resort. Hedonic semilogarithmic regression models are estimated for peak summer and peak winter rentals for 2008. The regression estimates for weekly rental prices are conditioned on explanatory variables for house size, house quality, and locational fe...

Hedonic pricing is an indirect valuation method that applies to heterogeneous goods investigating the relationship between the prices of tradable goods and their attributes. It can be used to measure the value of irrigation water through the estimation of the model that describes the relation between the market value of the land parcels and its characteristics. Because many of the land parcels ...

Applying a hedonic difference-in-differences framework to a census of residential property transactions in New York City 2003-2016.5, we estimate the effects of 3 flood risk signals: 1) the Biggert-Waters Flood Insurance Reform Act of 2012, which increased premiums; 2) Hurricane Sandy; and 3) new FEMA floodplain maps. On average each signal decreases sale prices by approximately 5 percent. Prop...