Partial equality-of-opportunity orderings

This paper proposes a partial equality-of-opportunity ordering based on the inequality-of-opportunity curve, a mechanism that gives preference to those who are worse off in terms of opportunity. Moreover, it provides a complete ordering that depends on a sensitivity parameter representing the degree of priority in the equality-of-opportunity policy. The Moreno-Ternero approach is obtained as a particular case. This proposal is applied to a set of 12 countries to compare their degree of equality of opportunity. Results show the relevance for economic policy of observing inequality of opportunity over tranches. Denmark dominates, in terms of post-tax income, all other economies in our sample. This paper was written during my visit to the Department of Political Science at Yale University. I am very grateful for the hospitality and helpful comments of John Roemer. I also acknowledge useful comments and suggestions by Juan D. Moreno-Ternero, the audiences at XIV EEP (Santander) and ECINEQ2007 (Berlin) and two anonymous referees. This paper has benefited from the support of the Spanish Ministry of Science and Technology [Project#SEC2003-08397], Fundación BBVA and Instituto de Estudios Fiscales. The usual disclaimer applies.     

Decision‐Making Factors within Paternity and Parental Leaves: Why Spanish Fathers Take Time Off from Work

This article aims to understand how Spanish fathers construct and justify their decisions to use both paternity and parental leaves. Specifically, we analyse the fathers' discourse about paid work conditions, the couple's decision‐making process, formal and informal care resources, and care and gender equality. We divided responders according to the type of leave that they took and the length of time away from work; as a result, participants in this study were placed into three groups: (1) fathers who take 15 days off from work after childbirth, which are usually those who took only paternity leaves; (2) fathers who take off more than 1 month, which are usually fathers who also took parental leave; and (3) fathers who take off less than 5 days from work, which are fathers who do not take any official leave. We analyse 30 in‐depth interviews with Spanish fathers by applying a critical discourse methodology. The findings indicate that paternity leave is mostly considered a right, but not a duty, and the decision whether or not to use it is viewed as an individual choice. Fathers who take longer leaves judge time off from work not only as an individual right, but also as a duty to their families. These fathers show a low work‐connection discourse, an explicit rejection of other care resources, and a care‐sensitive attitude.     

Vital Satisfaction as a Health Indicator in Elderly Women

The long life expentancy of the elderly motivates interest in their quality of life. Our study analyzes vital satisfaction as a global indicator of the three dimensions (physical, mental, and social) of the quality of life in relation to health. The subjects were 310 women, with an average age of 71.22 years old (SD 6.72), with minimum education, and active aging. The reliability was examined with the COOP-WONCA Charts and the Nottingham Health Profile. The results show that vital satisfaction significantly correlates with the three dimensions of health, in particular with the mental domain.     

Revisión teórico-metodológica de los instrumentos para la medición de la identidad de género

Resumen

El objetivo de este artículo es ofrecer una serie de criterios metodológicos de los instrumentos más utilizados en la medición de la identidad de género (BRSI y PAQ). Para ello, se presentan brevemente las perspectivas teóricas actuales para posteriormente avanzar en una serie de criterios metodológicos tales como la descripción y validez de los procedimientos de selección de los ítems y su validez ante sesgos de respuesta; fiabilidad de las escalas; y validez estructural, discriminante, convergente/divergente y de constructo. Por último se presentan diversos criterios de clasificación de los sujetos según estas escalas, así como las técnicas de análisis de datos más apropiadas. Además, se ha intentado recoger las críticas y discusiones que desde las diferentes líneas de investigación se están proponiendo.     

A DEA Approach to Measure the Quality-of-Life in the Municipalities of the Canary Islands

The notion of the quality of life has always intrigued economists, sociologists and other researchers in the area of social science. Since the genesis of the definition of Gross Domestic Product (GDP) as a truthful measure of well-being and economic development, other sophisticated methodologies have been proposed in the literature to measure the quality-of-life (QOL) that extend in a multidimensional way this complex concept. Measuring QOL in municipalities consists in finding a set of comparable attributes that can be weighted by some metric in order to construct a synthetic index. Thus, the narrow vision obtained by a single measure as the GDP, in which differences in the QOL cannot be fully analyzed, is overcome. Based upon a refinement of data envelopment analysis (DEA)—the cross-efficiency method, the current paper develops a synthetic QOL index that is based in 19 partial indicators which present the tradeoffs of different dimension for the 87 municipalities of the Canary Islands in Spain. Marginal rates of substitution are calculated to evaluate the tradeoffs on QOL dimensions. A method is also proposed to determine the scores chart of each municipality which can be used as a tool to policy makers in order to establish a program of improving the ranking position of the municipality identifying the critical QOL factors.     

Reconocimiento de emociones a partir de la expresión y el contexto: Una réplica

Resumen

En el presente estudio se examinan las contribuciones relativas de la expresión facial y el contexto situacional al reconocimiento de emociones. Tras la evaluación independiente de ambas fuentes de información, los sujetos juzgaron distintas combinaciones que variaban en su grado de congruencia. Aunque los resultados indican una preponderancia de la información expresiva sobre la situational en el juicio global, se señala la necesidad de nuevos diseños que permitan investigar el papel modulador del contexto sobre los juicios emocionales.     

On a goodness-of-fit test for normality with unknown parameters and type-II censored data

We propose a new goodness-of-fit test for normal and lognormal distributions with unknown parameters and type-II censored data. This test is a generalization of Michael's test for censored samples, which is based on the empirical distribution and a variance stabilizing transformation. We estimate the parameters of the model by using maximum likelihood and Gupta's methods. The quantiles of the distribution of the test statistic under the null hypothesis are obtained through Monte Carlo simulations. The power of the proposed test is estimated and compared to that of the Kolmogorov–Smirnov test also using simulations. The new test is more powerful than the Kolmogorov–Smirnov test in most of the studied cases. Acceptance regions for the PP, QQ and Michael's stabilized probability plots are derived, making it possible to visualize which data contribute to the decision of rejecting the null hypothesis. Finally, an illustrative example is presented.     

Marginally restricted D-optimal designs for correlated observations

Two practical degrees of complexity may arise when designing an experiment for a model of a real life case. First, some explanatory variables may not be under the control of the practitioner. Secondly, the responses may be correlated. In this paper three real life cases in this situation are considered. Different covariance structures are studied and some designs are computed adapting the theory of marginally restricted designs for correlated observations. An exchange algorithm given by Brimkulov's algorithm is also adapted to marginally restricted D–optimality and it is applied to a complex situation.     

Adjusting for Group Size Effects in Peer Nomination Data

Adjusting nomination‐based sociometric and peer assessment scores for biases due to variations in group size has been a long‐standing concern for peer relations researchers. The techniques that have been typically used to make these adjustments (e.g., proportion and standardized scores) are known to have fundamental problems that limit their utility. This study introduces a regression‐based procedure that adjusts nomination‐based scores for variations in group size and compares it with the standardization and proportion procedures. Analyses were conducted on sociometric and peer assessment scores of 1594 fourth, fifth, and sixth graders from 63 classrooms. The advantages of the regression‐based procedure over standardization and proportion transformations are outlined. Implications for the accuracy and validity of nomination‐based measures and the research findings based on them are discussed.     

Knowledge network dissemination in a family-firm sector

The literature on network often assumes that all firms in the net can benefit from knowledge externalities often reserved to the network area. Based on network analysis (historical and social) we will attempt to confirm the idea that social proximity plays a crucial role, especially in Italian clusters of small firms. We demonstrate that local knowledge relations are confined in the investigated area due to the high socio-familial substrate, the firm's capacity to recognise opportunities and co-ordination ability. The empirical analysis is based on the influence of both the characteristics of each entrepreneur and of each unit of innovation, and of the absorptive capacity (cognitive proximity) and social capital on relationships.