We develop a general class of factor-analytic models for the analysis of multivariate (truncated) count data. Dependencies in multivariate counts are of interest in many applications, but few approaches have been proposed for their analysis. Our model class allows for a variety of distributions...

Excess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process has two rates, a lower rate until the first event, and a higher one thereafter. We derive the...

This paper analyzes whether taxation has an influence on the location decisions of multinational enterprises. As a tax measure, we employ the Tax Attractiveness Index (see Keller and Schanz 2013). This index covers 18 different tax factors, such as the taxation of dividends and capital gains,...

This paper analyzes whether taxation has an influence on the location decisions of multinational enterprises. As a tax measure, we employ the Tax Attractiveness Index (see Keller and Schanz 2013). This index covers 18 different tax factors, such as the taxation of dividends and capital gains,...

Generalized additive models for location, scale and shape define a flexible, semi-parametric class of regression models for analyzing insurance data in which the exponential family assumption for the response is relaxed. This approach allows the actuary to include risk factors not only in the...

Frequent problems in applied research that prevent the application of the classical Poisson log-linear model for analyzing count data include overdispersion, an excess of zeros compared to the Poisson distribution, correlated responses, as well as complex predictor structures comprising...

After introducing the different data sources used in this dissertation in Chapter 2, I evaluate the linkage of the ALWA survey data with the administrative data of the IAB. I examine both consent bias and selectivity in linkage success based on survey and paradata. My results are informative for...

Recent empirical work in several economic fields, particularly environmental and energy economics, has adapted the regression discontinuity (RD) framework to applications where time is the running variable and treatment begins at a particular threshold in time. In this guide for practitioners,...