The analysis of early life courses: Complex descriptions of the transition to adulthood

The quantitative analysis of life courses has to deal with a complex pattern of interrelated events and trajectories. Such a complex pattern needs complex measurement tools, even if only to describe the experience of cohorts. This paper addresses the methodological issue of describing the transition to adulthood from a life course perspective, following an event-based definition. New proposals are developed and traditional approaches are discussed, using Italy as an example. A generalization of survivor functions for the analysis of the temporal relationships between two events is introduced and applied. The paper then deals with the problem of describing the process of transition to adulthood as a whole, making use of the sequence analysis approach with special emphasis on the empirical analyses of the ‘standardization vs individualization’ hypotheses.     

Integrating macro- and micro-level approaches in the explanation of population change

Demographers study population change across time and place, and traditionally they place a strong emphasis on a long-range view of population change. This paper builds on current reflections on how to structure the study of population change and proposes a two-stage perspective. The first stage, discovery, focuses on the production of novel evidence at the population level. The second stage, explanation, develops accounts of demographic change and tests how the action and interaction of individuals generate what is discovered in the first stage. This explanatory stage also provides the foundation for the prediction of demographic change. The transformation of micro-level actions and interactions into macro-level population outcomes is identified as a key challenge for the second stage. Specific instances of research are discussed.     

Italian Adult Gambling Behavior: At Risk and Problem Gambler Profiles

The present study examined adult gambling behaviours from a local perspective in order to assess the adult at risk and problem gambler’s profile stratified by genre and by different forms of game. 4773 Italian adults from 18 to 94 years old were administered a survey to assess socio-cultural information related to gambling behaviour and the SOGS to evaluate gambling behaviour severity. Logistic regression evidenced that both at risk and problem gamblers are associated with male gender, players that use to play to more than one game, gambling with strategy-based games. People with a gambler father or both parents who used to gamble were significantly more associated with problem gambling behaviour than participants with non-gambler parents. These results present adult profiles of at risk and problem providing a more clear understanding about the relationships between gambling behavior severity and type of gambling.     

Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study

Fitting cross-classified multilevel models with binary response is challenging. In this setting a promising method is Bayesian inference through Integrated Nested Laplace Approximations (INLA), which performs well in several latent variable models. We devise a systematic simulation study to assess the performance of INLA with cross-classified binary data under different scenarios defined by the magnitude of the variances of the random effects, the number of observations, the number of clusters, and the degree of cross-classification. In the simulations INLA is systematically compared with the popular method of Maximum Likelihood via Laplace Approximation. By an application to the classical salamander mating data, we compare INLA with the best performing methods. Given the computational speed and the generally good performance, INLA turns out to be a valuable method for fitting logistic cross-classified models.     

Assessing Quality in Higher Education: Some Caveats

The technology of cognitive and non-cognitive skills formation is characterized by the cumulative nature of learning processes and by the presence of significant complementarities and irreversibilities in the acquisition of such skills. From this it follows that, in order to evaluate the quality of individual phases of skills formation, it is necessary to take account of the quality of the human capital entering the training process. It is evident that this aspect is more important, the more advanced the level of education. This paper evaluates the effects of the quality of Italian matriculants at 24 engineering faculties measured with the results of a standardized test on the regularity of university studies. The preliminary results confirm that failing to take account of the incoming quality of students may give rise to significant distortions in the evaluation of the academic productivity of universities. Meritocratic criteria in the allocation of public funds among schools and universities which do not take account of these considerations, in the absence of effective means to support the right to study (especially in the form of grants) would exacerbate the polarization of the educational systems and penalize the less mobile and more talented students. The same outcome can be generated by a misuse of university rankings based on unadjusted performance measures.     

Tree-structured generalized autoregressive conditional heteroscedastic models

We propose a new generalized autoregressive conditional heteroscedastic (GARCH) model with tree-structured multiple thresholds for the estimation of volatility in financial time series. The approach relies on the idea of a binary tree where every terminal node parameterizes a (local) GARCH model for a partition cell of the predictor space. The fitting of such trees is constructed within the likelihood framework for non-Gaussian observations: it is very different from the well-known regression tree procedure which is based on residual sums of squares. Our strategy includes the classical GARCH model as a special case and allows us to increase model complexity in a systematic and flexible way. We derive a consistency result and conclude from simulation and real data analysis that the new method has better predictive potential than other approaches.     

A model of goal dynamics in technology-based organizations

The purpose of the present work is to build a suitable system dynamics model for goal dynamics in organizations, as proposed by Barlas and Yasarcan (2008). The proposed model does not bear any ambition of being exhaustive: the main objective of this paper is to propose a model of goal dynamics in which Goal Setting, Management by Objectives and Training are viewed as human resource practices able to enhance workers’ goal commitment, and therefore, improve organizational performance. In the first part of this paper, an analysis of the Goal Setting Theory and the role of goal setting practices, in bettering worker's performance, are stressed. In the second part, a case-study, the causal loop and a quantitative model of goal dynamics in organizations are described. In the third part, behaviour reproduction testing, optimization analysis for parameter estimation and scenario analysis are presented. Limitations of the present research and conclusions are finally discussed.     

The Interrelations Between Cohabitation,Marriage and First Birth in Germany and Sweden

We study the interrelationships between union-formation forms and fertility in Swedish and West German female cohorts born in 1949–1971. We apply simultaneous hazard models, permitting the presence of correlated unobserved heterogeneity. This method allows us to control for country-specific composition of the population with respect to several socio-economic variables, as well as with respect to unobserved factors jointly affecting childbearing and union formation behavior. Our results confirm that partnership formation and the transition to parenthood are partially interchangeable. Net of those selection effects, we find that the impact of being in a union on first birth is higher in Sweden than in Germany, in particular for cohabitation.     

Critical decisions and constitutional rules

Many constitutions specify procedures that allow critical decisions to be made with a different rule than routine decisions. We propose a theory of constitutional rules that explains why. The theory is based on the assumption that the type of a decision can be observed, but not verified. We characterize two classes of second-best constitutions, both with clear analogues in real world constitutions: (i) incentive scheme (IS) constitutions that elicit information about the type of a decision through a costly switching procedure and (ii) veto (VT) constitutions that grant limited veto powers to interested parties.