Before revision:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution , i. e., the noise distribution , is non-parametric .
After revision:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution . We develop a semi-parametric model in which the residual distribution is non-parametric .