Parental Anger and Trajectories of Emotional Well‐Being from Adolescence to Young Adulthood

This study assesses the relationship of parental anger on children’s anger and self‐derogation from adolescence to young adulthood. We examine a life‐course perspective and incorporate theories of emotion regulation and self‐referent behavior. Using structural equation models and hierarchical growth curve models with the Kaplan Longitudinal and Multigenerational data, the results indicate that parental anger leads to anger in adolescence, supporting theories of learning through modeling in adolescence. In young adulthood, as predicted by self‐referent behavior theory, parental anger contributes to increases in self‐derogation. Interestingly, maternal anger, but not paternal anger, is correlated with child’s anger and self‐derogation.     

Ein Mixed-Methods-Evaluations-Ansatz zur Untersuchung von Makro-Mikro-Interaktionen

Especially in the case of longitudinal evaluations, mixed-methodological approaches appear to be useful, since the studies are basically suitable for evaluating evaluation objects of a high degree of complexity, such as, for example, dynamic processes in educational structures. Basing on the longitudinal development of professions-related beliefs of mathematics student teachers, this article describes how macro- and microstructures can be taken into account by integrating results obtained through different research methods. With the help of latent growth curve models the development of beliefs of 235 student teachers at five universities could be modeled longitudinally. On the basis of 19 interviews, afterwards interrelationships between institutional frameworks and the individual development of beliefs could be identified on the basis of case studies. Amongst others, a high degree of agreement to constructivist-oriented forms of teaching and learning could be revealed, which can be partly attributed to the experience of university teaching.     

An Integrated Approach to Managing Change

Complex systems often involve a huge number of variables whose interdependence must be taken into account. This makes the adoption of an integrated approach essential for the proper management of a wide range of aspects related to human life, from social matters to the environment. In particular, this paper takes into consideration three different experiences in which the use of an integrated approach represented the most effective response for managing the evolving realities we took into consideration. We focused on the issue of land management, with particular attention to the problem of monoculture in Brazil. Then we analyzed the attempted cooperation between the States of the Aral Sea area for efficient water management of the basin and, finally, we dealt with the matter of energy efficiency and how the production of home integrated systems could lead to a better rationalization of energy consumption in the near future.      

Recoverable robust timetabling for single delay: Complexity and polynomial algorithms for special cases

In this paper, we study the problem of planning a timetable for passenger trains considering that possible delays might occur due to unpredictable circumstances. If a delay occurs, a timetable could not be able to manage it unless some extra time has been scheduled in advance. Delays might be managed in several ways and the usual objective function considered for such purpose is the minimization of the overall waiting time caused to passengers. We analyze the timetable planning problem in terms of the recoverable robustness model, where a timetable is said to be recoverable robust if it is able to absorb small delays by possibly applying given limited recovery capabilities. The quality of a robust timetable is measured by the price of robustness that is the ratio between the cost of the recoverable robust timetable and that of a non-robust optimal one.     

Missing data methods in official statistics in the United Kingdom: Some recent developments

In recent years an increase in nonresponse rates in major government and social surveys has been observed. It is thought that decreasing response rates and changes in nonresponse bias may affect, potentially severely, the quality of survey data. This paper discusses the problem of unit and item nonresponse in government surveys from an applied perspective and highlights some newer developments in this field with a focus on official statistics in the United Kingdom (UK). The main focus of the paper is on post-survey adjustment methods, in particular adjustment for item nonresponse. The use of various imputation and weighting methods is discussed in an example. The application also illustrates the close relationship between missing data and measurement error. JEL classification C42, C81     

Multivariate linear regression with non-normal errors: a solution based on mixture models

In some situations, the distribution of the error terms of a multivariate linear regression model may depart from normality. This problem has been addressed, for example, by specifying a different parametric distribution family for the error terms, such as multivariate skewed and/or heavy-tailed distributions. A new solution is proposed, which is obtained by modelling the error term distribution through a finite mixture of multi-dimensional Gaussian components. The multivariate linear regression model is studied under this assumption. Identifiability conditions are proved and maximum likelihood estimation of the model parameters is performed using the EM algorithm. The number of mixture components is chosen through model selection criteria; when this number is equal to one, the proposal results in the classical approach. The performances of the proposed approach are evaluated through Monte Carlo experiments and compared to the ones of other approaches. In conclusion, the results obtained from the analysis of a real dataset are presented.     

A tobit model with garch errors

In the context of time series regression, we extend the standard Tobit model to allow for the possibility of conditional heteroskedastic error processes of the GARCH type. We discuss the likelihood function of the Tobit model in the presence of conditionally heteroskedastic errors. Expressing the exact likelihood function turns out to be infeasible, and we propose an approximation by treating the model as being conditionally Gaussian. The performance of the estimator is investigated by means of Monte Carlo simulations. We find that, when the error terms follow a GARCH process, the proposed estimator considerably outperforms the standard Tobit quasi maximum likelihood estimator. The efficiency loss due to the approximation of the likelihood is finally evaluated.     

The Impacts of the Basel II Accord on the Concentration of the Entrepreneurial and Banking System

From the econometric analysis model, even though based on the US economy, one deduces the existence of an important correlation between the intervened changes in the role of banks’ prudential capital and in merger and acquisition dealings: the latter have increased, at least in number, after the reviewing of prudential capital requirements in favour of better structured banking organizations. The analysis of the Italian entrepreneurial and banking system shows a country characterised by small-scale enterprises with meagre growth capability (even though the Accord, paradoxically, is meant to facilitate the granting of loans to the development of small-scale enterprises), but also by the great expanding potential of banking enterprises that, contrarily to the other productive entities, can count of high re-investible margins and, consequently, of wide capabilities of investing in private equity.