An approach that integrates biophysical simulations in an economic model is used to analyze the impact of climate change on Swiss corn and winter wheat production. Adaptation options such as changes in sowing dates, changes in production intensity, and the adoption of irrigation farming are...

In this paper we consider the Capital Asset Pricing Model under Elliptical (symmetric) Distributions. This class of distributions, which contains the normal distribution, t, contaminated normal and power exponential, among others, offers a more flexible framework for modelling asset prices or...

This paper seeks to characterize the factors that explain crop insurance participation. A stylized model of insurance demand, with a simple setup of one crop. CARA preferences, yield insurance, and PDfs for revenue and yeild with moment-generating functions, provides a number of hypotheses about...

An approach that integrates biophysical simulations in an economic model is used to analyze the impact of climate change on Swiss corn and winter wheat production. Adaptation options such as changes in sowing dates, changes in production intensity, and the adoption of irrigation farming are...

Researchers of uncommon diseases are often interested in assessing potential risk factors. Given the low incidence of disease, these studies are frequently case-control in design. Such a design allows a sufficient number of cases to be obtained without extensive sampling and can increase...

The causal effect of a treatment on an outcome is generally mediated by several intermediate variables. Estimation of the component of the causal effect of a treatment that is not mediated by an intermediate variable (the direct effect of the treatment) is often relevant to mechanistic...

Regular case-control sampling is an extremely common design used to generate data to estimate effects of exposures or treatments on a binary outcome of interest when the proportion of cases (i.e., binary outcome equal to 1) in the population of interest is low. Case-control sampling represents a...

In this paper, we consider parametric density estimation based on minimizing the Havrda-Charvat-Tsallis nonextensive entropy. The resulting estimator, called the Maximum Lq-Likelihood estimator (MLqE), is indexed by a single distortion parameter q, which controls the trade-off between bias and...

The mixed linear models are frequently used in the studies of research in medicine and social science. In this article, we presented the method of robust maximum likelihood for estimating the parameters of these models. Since this method is sensitive to outliers observations, we concentrated on...