In many scientific studies, the response variable bears a generalized nonlinear regression relationship with a certain covariate of interest, which may, however, be confounded by other covariates with unknown functional form. We propose a new class of models, the partly parametric generalized...

Um Rückschlüsse über eine sinnvolle Integration einer Biogasanlage in das strategische Gesamtkonzept eines landwirtschaftlichen Betriebes ziehen zu können, werden Interdependenzen der Investitionsinputs mittels Sensitivitätsanalyse bewertet. Darauf aufbauend werden die Investitionserfolge...

Valuing American options is a central problem in option pricing since the early-exercise feature is very common among financial or insurance derivatives products. For high-dimensional American options, Monte Carlo simulation is generally regarded as the only viable approach to price them, and...

The financial crisis of 2007-2008 led to extraordinary government intervention in firms and markets. The scope and depth of government action rivaled that of the Great Depression. Many traded markets experienced dramatic declines in liquidity leading to the existence of conditions normally...

This dissertation quantitatively evaluates selected labor market policies in a search-matching model with skill heterogeneity where high-skilled workers can take temporary jobs with skill requirements below their skill levels. The joint posterior distribution of structural parameters of the...

We present an hierarchical Bayes approach to modeling parameter heterogeneity in generalized linear models. The model assumes that there are relevant subpopulations and that within each subpopulation the individual-level regression coefficients have a multivariate normal distribution. However,...

The statistical inference based on the ordinary least squares regression is sub-optimal when the distributions are skewed or when the quantity of interest is the upper or lower tail of the distributions. For example, the changes in Total Sharp Scores (TSS), the primary measurements of the...

This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster (BHOF), which forecasts daily heating oil demand for individual customers who are enrolled in an automatic delivery...

Este trabajo presenta un modelo de frontera estocástica con parámetros aleatorios en el componente de ineficiencia aplicado al sector bancario. Este modelo permite capturar la influencia de las exposiciones de riesgo sobre la eficiencia bancaria y distingue estos efectos entre bancos con...

This paper analyzes the determinants of Spain's macroeconomic fluctuations since the inception of the euro in 1999, with a special attention to observed growth and inflation differentials with respect to the rest of the European Monetary Union (EMU). For that purpose we estimate the Banco de...