Many empirical studies challenged the parametric approach to estimate nonlinear house price models and to use instead nonparametric or semiparametric model specifications. In the area of environmental analysis using house price models, Stock (1991) and McMillen and Thorsen (2000) applied...

The estimation of conditional probability distribution functions (PDFs) in a kernel nonparametric framework has recently received attention. As emphasized by Hall, Racine and Li (2004), these conditional PDFs are extremely useful for a range of tasks including modelling and predicting consumer...

The objective of this paper is to study the problem of management of irrigation water. We analyse farmers' economic rules of tactical irrigation scheduling in a certain or uncertain environment under water scarcity. The optimal plans depend on uncertain weather conditions and expectations. We...

The estimation of conditional probability distribution functions (PDFs) in a kernel nonparametric framework has recently received attention. As emphasized by Hall, Racine and Li (2004), these conditional PDFs are extremely useful for a range of tasks including modelling and predicting consumer...

Many empirical studies challenged the parametric approach to estimate nonlinear house price models and to use instead nonparametric or semiparametric model specifications. In the area of environmental analysis using house price models, Stock (1991) and McMillen and Thorsen (2000) applied...