International factors in the formation of refugee movements

The authors construct a theoretical framework for analyzing factors influencing international refugee movements. "On the basis of detailed case studies by the authors of the principal refugee flows generated in Asia, Africa, and Latin America from approximately 1960 to the present, it was found that international factors often intrude both directly and indirectly on the major types of social conflict that trigger refugee flows, and tend to exacerbate their effects. Refugees are also produced by conflicts that are manifestly international, but which are themselves often related to internal social conflict among the antagonists."     

How Satisfied are Spouses with their Leisure Time? Evidence from Europe

This paper first identifies the determinants of spouses’ satisfaction levels within the household with respect to their leisure time and, secondly, characterizes whether their preferences have some degree of altruistic or egoistic character in regard to this particular satisfaction. To that end, it formulates a theoretical framework from the collective family model whose stochastic formulations are estimated for 14 EU countries. The general empirical results first reveal that the presence of children has a significantly negative impact on the leisure satisfaction of both spouses. Then, increases in individual incomes lead to lower own leisure satisfaction levels. Both husbands and wives show egoistic behavior with respect to the labor and non-labor incomes (wage rate) of their respective spouses’ satisfaction levels.

On the minimum expected quantity for the validity of the chi-squared test in 2 2 2 tables

A 2 2 2 contingency table can often be analysed in an exact fashion by using Fisher's exact test and in an approximate fashion by using the chi-squared test with Yates' continuity correction, and it is traditionally held that the approximation is valid when the minimum expected quantity E is E S 5. Unfortunately, little research has been carried out into this belief, other than that it is necessary to establish a bound E>E*, that the condition E S 5 may not be the most appropriate (Martín Andrés et al., 1992) and that E* is not a constant, but usually increasing with the growth of the sample size (Martín Andrés & Herranz Tejedor, 1997). In this paper, the authors conduct a theoretical experimental study from which they ascertain that E* value (which is very variable and frequently quite a lot greater than 5) is strongly related to the magnitude of the skewness of the underlying hypergeometric distribution, and that bounding the skewness is equivalent to bounding E (which is the best control procedure). The study enables estimating the expression for the above-mentioned E* (which in turn depends on the number of tails in the test, the alpha error used, the total sample size, and the minimum marginal imbalance) to be estimated. Also the authors show that E* increases generally with the sample size and with the marginal imbalance, although it does reach a maximum. Some general and very conservative validity conditions are E S 35.53 (one-tailed test) and E S 7.45 (two-tailed test) for alpha nominal errors in 1% h f h 10%. The traditional condition E S 5 is only valid when the samples are small and one of the marginals is very balanced; alternatively, the condition E S 5.5 is valid for small samples or a very balanced marginal. Finally, it is proved that the chi-squared test is always valid in tables where both marginals are balanced, and that the maximum skewness permitted is related to the maximum value of the bound E*, to its value for tables with at least one balanced marginal and to the minimum value that those marginals must have (in non-balanced tables) for the chi-squared test to be valid.     

Violence against women in Spain and Cuba: The same reality,two different visions / Violencia hacia la mujer en España y Cuba: una misma realidad,dos visiones diferentes

This study aims to analyse the acceptance of gender violence in Spanish and Cuban populations. We analysed the influence of sexist beliefs and other ideologies that justify unequal gender relationships. A total of 230 men and women from Spain and 200 from Cuba participated by answering a questionnaire. The results showed the effect of participants’ gender and nationality as well as ideological variables (sexism, beliefs in a just world and codes of honour) that legitimise the status quo of gender violence. The male participants and the Cuban participants accepted violence against women more than the female participants and the Spanish participants. What is more, the results showed a pattern in the influence of the ideological variables that differed depending on the participants’ nationality. In Spain, the relationship between participants’ benevolent sexism and the justification of violence was mediated by codes of honour. In Cuba, the relationship between hostile sexism and acceptance of violence against women was mediated by beliefs in a just world.     

On the recoding of continuous and bounded indexes to a binomial form: an application to quality-of-life scores

The statistical analysis of patient-reported outcomes (PROs) as endpoints has shown to be of great practical relevance. The resulting scores or indexes from the questionnaires used to measure PROs could be treated as continuous or ordinal. The goal of this study is to propose and evaluate a recoding process of the scores, so that they can be treated as binomial outcomes and, therefore, analyzed using logistic regression with random effects. The general methodology of recoding is based on the observable values of the scores. In order to obtain an optimal recoding, the evaluation of the recoding method is tested for different values of the parameters of the binomial distribution and different probability distributions of the random effects. We illustrate, evaluate and validate the proposed method of recoding with the Short Form-36 (SF-36) Survey and real data. The optimal recoding approach is very useful and flexible. Moreover, it has a natural interpretation, not only for ordinal scores, but also for questionnaires with many dimensions and different profiles, where a common method of analysis is desired, such as the SF-36.     

Subjective Welfare, Well-Being, and Self-Reported Food Hypersensitivity in Four European Countries: Implications for European Policy

This study estimates the effects of food hypersensitivity on individuals?? perceived welfare and well-being compared to non-food hypersensitive individuals. Study respondents were recruited in the Netherlands, Poland, Spain and UK. The difference in welfare between food hypersensitive respondents and those asymptomatic to foods was estimated using a subjective welfare approach, including income evaluation. Well-being was measured using the Cantril Ladder-of-Life Scale, and health status using the Self-Perceived Health Scale. The difference in well-being, welfare and health status between participant groups was explained further using a number of background variables. No significant within-country differences in welfare between food hypersensitive respondents and respondents asymptomatic to foods were found. In terms of well-being, adult food hypersensitive respondents and their spouses reported significantly less happiness than respondents and their spouses asymptomatic to foods in the Netherlands and Poland. In Spain, the spouses of the food hypersensitive respondents were significantly less happy than respondents aymptomatic to foods. The well-being of children did not significantly differ between groups. The degree of severity of food hypersensitivity was negatively related to overall health status. In Poland, food hypersensitive respondents reported worse health status compared to asymptomatic respondents. In Spain, the converse was true. Food hypersensitive respondents were generally less happy with their life as a whole than respondents asymptomatic to foods, presumably because they experienced more negative effects, which were not related to perceived health status.     

Notional defined contributions (NDC): Solvency and risk in Spain

The aim of this article is twofold: to demonstrate the actuarial imbalance in the Spanish pension system in its current form; and to measure the degree of aggregate economic risk to which pensioners are exposed when applying formulas for the calculation of retirement pensions based on notional accounts. The model used generates scenarios for various periods encompassing some 10,000 different permutations of the macroeconomic indices needed to calculate such parameters as initial pension, earnings replacement rate, or internal rate of return and value at risk. The findings are analysed both objectively and subjectively. The main conclusions are that if the projections for the macroeconomic indices used bear only a minimal resemblance to reality, the pension system will accumulate further financial imbalance in the future that will force it either to reduce initial pensions considerably or to make some radical adjustments to the parameters. In terms of risk, for beneficiaries with high risk aversion the preferred formulas would be those based on future variations in wages with a constant pension amount in real terms; on the other hand, those less averse to risk would prefer formulas that generate a smaller initial pension but one which grows in real terms with subsequent changes in wage levels.     

Political Activism as Driver of Cooperative Sector

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - It has been shown that, in a context of economic crisis, cooperatives remain more resilient and flexible than other forms...     

Analysis of pseudo-panel data with dependent samples

In this paper, we discuss a model for pseudo-panel data when some but not all of the individuals stay in the sample for more than one period. We use data on the labor market of the Basque Country from 1993 to 1999 treated through FORTRAN 77 programing. We construct economically reasonable age cohorts for active population and use gender, qualification and social status as explanatory variables in our model. Given the class of data we use, we analyze the properties of the random error and estimate the model through maximum likelihood, finding significant results from an applied point of view.