Budget-constrained environmental agencies across the United States are limited in their ability to monitor water quality changes using traditional in situ sampling. Satellite-based monitoring systems represent a lower-cost alternative. It is unclear, however, how this transition will impact...

We apply additive mixed regression models (AMM) to estimate hedonic price equations. Non-linear effects of continuous covariates as well as a smooth time trend are modeled non-parametrically through P-splines. Unobserved district-specific heterogeneity is modeled in two ways: First, by location...

We use a hedonic house price model to estimate the value of green spaces and parks to homeowners in the Dublin area. Using a dataset of house sales between 2001 and 2006 and combining it with available data on the location of green spaces in Dublin it is possible to assess the different values...

A new heteroskedastic hedonic regression model is suggested which takes into account time-varying volatility and is applied to a blue chips art market. A nonparametric local likelihood estimator is proposed, and this is more precise than the often used dummy variables method. The empirical...

Price indices for heterogenous goods such as real estate or fine art constitute crucial information for institutional or private investors considering alternative investments in times of financial markets turmoil. Classical mean-variance analysis of alternative investments has been hampered by...

Due to the constantly growing interest in alternative investments, the art market has become the subject of numerous studies. By publishing sales data, many services and auction houses provide a foundation for further research on the latest trends. Determining the definition of the artistic...