Social Capital, Satisfaction and Quality of Life in the Workplace

This article is an empirical analysis of the relationship between social capital and satisfaction and quality of life in the workplace in Spain. Social capital has been defined as the set of cooperative relationships between social actors that facilitate collective action. This concept has been measured based on five dimensions: trust, social relations, commitment, communication and influence. An analysis has been carried out applying regression and causal models to determine the influence on satisfaction and quality of life at work of social capital dimensions and of characteristics of the worker, work environment and company or organization. The data is based on Spain's 2001 Quality of Life at Work Survey. The results of the analysis indicate that the models applied are significant, which confirms the examined propositions. Higher levels of social capital imply greater levels of satisfaction and quality of life at work. Social capital is a better predictor of quality of life at work and job satisfaction than the characteristics of the worker, the company or organization, and the work environment.     

Immigrants’ economic performance across Europe – does immigration policy matter?

Drawing on panel data from the European Community Household Panel (ECHP), the British Household Panel Survey (BHPS) and the German Socio-Economic Panel Study (SOEP), we compare the economic performance of immigrants to Great Britain, West Germany, Denmark, Luxembourg, Ireland, Italy, Spain and Austria to that of the respective indigenous population. The unit of analysis is the individual in the household context. This allows us to define immigrants state of integration into the host society at the family level taking into account issues such as immigrant/native intermarriage. Economic performance is measured in terms of the country-specific pre-government income position and change in the relative income position due to redistribution processes within the respective tax and social security systems. Our work is based on the premise that countries may be categorized – similarly to existing categorizations based on the type of welfare regime – according to the nature of their immigration policy. From an economic point of view, a successful and integrative immigration policy should result – at least when controlling for background characteristics such as education – in a non-significant differential between the economic performance of immigrants and that of the indigenous population. At first glance, our results indicate that this ideal is not attained in all of the countries analysed, particularly not in Germany and Denmark, where the economic performance of immigrants is much lower than that of the indigenous population. However, results from GLS random-effects models show that immigrants to these countries improve their economic situation rapidly with increasing duration of stay in the host country. This implies that these countries also do fairly well in fostering in the economic integration of immigrants. Our empirical results further reveal that the substantial cross-country differences in the immigrant/native-born performance differential persist even when controlling in detail for socioeconomic characteristics of the household and for indicators of the state of the immigrants integration, such as years since migration and immigrant/native intermarriage. This suggests that not only the conditions of entry to a country impact on immigrants economic performance, but also country-specific institutional aspects such as restrictions on access to the labour market and parts of the social security system that are related to citizenship or immigrant status. There still is a great deal of heterogeneity across EU member states in this respect. This should be taken into account when working towards the harmonization of national EU immigration policies.This paper benefited substantially from discussions at the EEA 2003 Conference in Stockholm, Sweden, and the EPUNet 2003 Conference in Colchester, UK. We also acknowledge very helpful comments resulting from the reviewing process     

The terrible twos: How children cope with frustration and tantrums and the effect of maternal and paternal behaviors

Experimental Frustration Procedures with 158 children (15–39 months) of two-parent families were conducted, with each parent separately involved. We examined diverse characteristics of children's frustration and focused on specific behaviors of how children coped and parents supported them. In addition, external observers measured child attachment security (via Attachment Q Sort) toward the mother and the father during two home visits. Children with high attachment security became frustrated later and for a shorter time, and fathers, as compared to mothers, relieved these frustration patterns and reduced them. Although 22.2% children exhibited intense frustration responses up to tantrums, levels remained unaffected by child gender, but decreased with child age. Time-lag analyses revealed that children's self-comforting behaviors reduced frustration responses only by around 20%, but self-distracting (in younger children) and pretend-playing (in older children) by around 50% and 70%. Of the parent behaviors, demonstrating reduced children's frustration by up to 40% whereas distracting and reframing by around 60% (mothers) and 80% (fathers). In general, mothers tended to protect the child from distress, whereas fathers assisted the child in coping with frustration. However, if mothers soothed and fathers encouraged, children's frustration intensified.     

Restricted generalized poisson regression model

The family of generalized Poisson distribution has been found useful in describing over-dispersed and under-dispersed count data. We propose the use of restricted generalized Poisson regression model to predict a response variable affected by one or more explanatory variables. Approximate tests for the adequacy of the model and the estimation of the parameters are considered. Restricted generalized Poisson regression model has been applied to an observed data set.