1,720,984 research outputs found
Synopsis interdictorum sive extraordinariarum actionum quae pro his competunt
No full textquam ... pro gradu doctoratus in iure utroque impetrando discutiendam proponit Alexander Sohn Wetteravius, ad diem 26. Augusti, hora & loco consuetisEnthält 152 ThesenDiss. iur. Basel, 159
Poor university professors? The relative earnings decline of German professors during the twentieth century
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A new semiparametric approach to analysing conditional income distributions
Full text linkIn this paper we explore the application of Generalised Additive Models of Location, Scale and Shape for the analysis of conditional income distributions in Germany following the reunification. We find that conditional income distributions can generally be modelled using the three parameter Dagum distribution and our results hint at an even more pronounced effect of skill-biased technological change than can be observed by standard mean regression
Six years ahead: a longitudinal analysis regarding course and predictive value of the Strengths and Difficulties Questionnaire (SDQ) in children and adolescents
No full textScientifically sound and valid information concerning course and prediction of mental health problems in children and adolescents in the general population is scarce, although needed for public mental health issues and daily clinical practice. The psychopathological profiles of children and adolescents were analysed using the parent version of the Strengths and Difficulties Questionnaire (SDQ-P) in a longitudinal setting, also investigating the predictive value of the SDQ-scores. SDQ's total psychopathological difficulties, emotional symptoms and hyperactivity-inattention scores of n = 630 children and adolescents (age 6-18;11 years) were examined along four assessment measurement points (T-0-T-3) over 6 years, using data from the BELLA study. According to the English normative data, the participants were categorized as "normal", "borderline" or "abnormal" based on their SDQ-scores. Groups remaining within categories were descriptively determined by means of frequency analysis, a subsequent graphical evaluation displayed the transitions from T-0 to T-3 concerning the different categorical classifications. Finally, ordered probit regression was used to examine whether age, gender, socio-economic status (SES) and baseline impact-score (IS) correspond to the SDQ-predicted classification. As expected, low SES and high SDQ-IS were associated with significantly increased scores on all examined SDQ-scales. Regarding the long-term aspect of SDQ-scores it could be shown that most children and adolescents remained "normal" over a measurement period of 6 years, while only a small number of children and adolescents steadily remained "abnormal" or newly developed mental health problems, respectively. For example, on the "hyperactivity-inattention"-scale, only 1 % of the children and adolescents changed from "normal" to "abnormal" (T-0-T-3), whereas on the "emotional symptoms"-scale, 7 % changed from "normal" to "abnormal" (T-0-T-3). In general, the SDQ-category "borderline" and specifically the subscale "emotional symptoms" change in both directions. Abnormal SDQ-scores at baseline, SES, gender and IS were related to the prediction of the SDQ-sores at T3. An SDQ-screening of children and adolescents may help for early detection, prediction and treatment planning. Also, these results may contribute to a better understanding of the course of mental health problems in childhood and concurrently may allow a better psychoeducation and prevention.Shire; German Research Society; Schwaab
Semiparametric stochastic volatility modelling using penalized splines
No full textStochastic volatility (SV) models mimic many of the stylized facts attributed to time series of asset returns, while maintaining conceptual simplicity. The commonly made assumption of conditionally normally distributed or Student-t-distributed returns, given the volatility, has however been questioned. In this manuscript, we introduce a novel maximum penalized likelihood approach for estimating the conditional distribution in an SV model in a nonparametric way, thus avoiding any potentially critical assumptions on the shape. The considered framework exploits the strengths both of the powerful hidden Markov model machinery and of penalized B-splines, and constitutes a powerful and flexible alternative to recently developed Bayesian approaches to semiparametric SV modelling. We demonstrate the feasibility of the approach in a simulation study before outlining its potential in applications to three series of returns on stocks and one series of stock index returns
Correction: Bayesian structured additive distributional regression with an application to regional income inequality in Germany
No full textBayesian structured additive distributional regression with an application to regional income inequality in Germany
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