Methodology is proposed for the construction of prediction intervals for integrals of Gaussian random fields over bounded regions (called block averages in the geostatistical literature) based on observations at a finite set of sampling locations. Two bootstrap calibration algorithms are...

This work proposes a class of hierarchical models for geostatistical count data that includes the model proposed by Diggle et al. (1998)  [13] as a particular case. For this class of models the main second-order properties of the count variables are derived, and three models within this class...

This work considers the problem of constructing prediction intervals in log-Gaussian random fields. New prediction intervals are derived that are shorter than the standard prediction intervals of common use, where the reductions in length can be substantial in some situations. We consider both...

Gaussian Markov random fields (GMRF) are important families of distributions for the modeling of spatial data and have been extensively used in different areas of spatial statistics such as disease mapping, image analysis and remote sensing. GMRFs have been used for the modeling of spatial data,...

We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer...

This paper presents the first cross-country estimation of needs-adjusted income and education-related inequalities in the use of a whole set of preventive care treatments. Analysis is based on the last three waves of the Survey of Health, Ageing and Retirement (SHARE) for individuals aged 50 and...

Working conditions in Western countries have changed dramatically in the last twenty years, witnessing the emergence of new forms of employment contracts. The number of "standard" fulltime permanent jobs has decreased, while non-standard work arrangements such as temporary, contingent or...

We propose an empirical model to estimate inequality of opportunity (IOp) among workers and to distinguish two different sources of inequality: (i) inequality in the labour attachment and (ii) inequality in the remuneration of each working hour. Considering working hours as a measure of effort,...

We propose a structural model to estimate inequality of opportunity (IOp) among workers and to distinguish two different sources of inequality: (i) inequality in the labour attachment and (ii) inequality in the remuneration of each working hour. Considering working hours as a measure of effort,...

We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer...