While there is a growing literature that examines the issue of cointegration (co-movement over the long run) among health expenditures, there are no studies that examine the issue of common cycles (co-movement over the short run) among health expenditures. We undertake a multivariate variance...

We investigate whether relative contributions of genetic and shared environmental factors are associated with an increased risk in melanoma. Data from the Queensland Familial Melanoma Project comprising 15,907 subjects arising from 1912 families were analyzed to estimate the additive genetic,...

The thesis analyzes the changing employment and economic situation of females when they become mothers. Two major questions are focused in the thesis: First, when do mothers return to their previous employment after bearing a child? Secondly, what are the individual economic consequences after...

Linear mixed models are frequently used to analyze data with random effects and/or repeated measures. A common approach to such analyses requires choosing a covariance structure. Information criteria, such as AIC and BIC, are often used by statisticians to help with this task. However, these...

Mixed model estimation methods were used to fit individual-tree basal area growth models to tree and stand-level measurements available from permanent plots established in naturally regenerated shortleaf pine (Pinus echinata Mill.) even-aged stands in western Arkansas and eastern Oklahoma in the...

A diameter increment model is developed and evaluated for individual trees of ponderosa pine throughout the species range in the United States using a multilevel linear mixed model. Stochastic variability is broken down among period, locale, plot, tree and within-tree components. Covariates...

We propose a method of simultaneous model selection and estimation in additive regression models (ARMs) forindependent normal data. We use the mixed model representation of the smoothing spline estimators of thenonparametric functions in ARMs, where the importance of these functions is...

El proceso de internacionalización que muchos bancos españoles han emprendido en años recientes ha resultado en la necesidad de un seguimiento más cercano de las economías en las que están presentes, especialmente para un organismo supervisor como el Banco de España. En este trabajo se...

Este artículo propone un conjunto de modelos de Vectores Autorregresivos Estructurales Bayesianos (SBVAR), el cual es usado para: distinguir los principales choques que influencian a la economía española a través del tiempo, y proveer predicciones de PIB e inflación de corto y medio plazo....

In randomized clinical trials where the effects of post-randomization factors are of interest, the standard regression analyses are biased due to unmeasured confounding. The instrumental variables (IV; Angrist et al., 1996) and G-estimation procedures under structural nested mean models (SNMMs;...