Leaving the labour market: event-history analysis of the female workers' transition to housework in Denmark, Germany, Great Britain and Spain

This paper is aimed at exploring the determinants of female activity from a dynamic perspective. An event-history analysis of the transition form employment to housework has been made resorting to data from the European Household Panel Survey. Four countries representing different welfare regimes and, more specifically, different family policies, have been selected for the analysis: Britain, Denmark, Germany and Spain. The results confirm the importance of individual-level factors, which is consistent with an economic approach to female labour supply. Nonetheless, there are significant cross-national differences in how these factors act over the risk of abandoning the labour market. First, the number of trnasitions is much lower among Danish working women than among British, German or Spanish ones, revealing the relative importance of universal provision of childcare services, vis-à-vis other elements of the family policy, as time or money.

Unobserved heterogeneity and censoring in the demand for health care

This paper analyses the demand for private health care by Spanishhouseholds using a micro budget survey. The methodology used takescare of the three part decision process involved in this type ofbehaviour, namely the decision to use private health care, howoften to do so and how much to spend each time and also the effectsof unobserved heterogeneity. Since the theoretical frameworkcorresponds to the Grossman model of health investment, the resultsalso provide a test of the theory when these issues are considered.Finally, the obtained evidence also suggest that the current systemof tax deductions for private health care expenditures is regressive.

Allowing for heterogeneity in the decomposition of measures of inequality in health

This paper shows how recently developed regression-based methods for the decomposition ofhealth inequality can be extended to incorporate heterogeneity in the responses of health to the explanatory variables. We illustrate our method with an application to the GHQ measure of psychological well-being taken from the British Household Panel Survey. The results suggest that there is an important degree of heterogeneity in the association of health to explanatory variables across birth cohorts and genders which, in turn, accounts for a substantial percentage of the inequality in observed health.

Measurement and explanation of socioeconomic inequality in health with longitudinal data

This paper presents a method for the measurement of changes in health inequality and income-related health inequality over time in a population.For pure health inequality (as measured by the Gini coefficient) andincome-related health inequality (as measured by the concentration index),we show how measures derived from longitudinal data can be related tocross section Gini and concentration indices that have been typicallyreported in the literature to date, along with measures of health mobilityinspired by the literature on income mobility. We also show how thesemeasures of mobility can be usefully decomposed into the contributions ofdifferent covariates. We apply these methods to investigate the degree ofincome-related mobility in the GHQ measure of psychological well-being inthe first nine waves of the British Household Panel Survey (BHPS). Thisreveals that dynamics increase the absolute value of the concentrationindex of GHQ on income by 10%.

Capital humano local y productividad en las provincias españolas

En la última década, distintos estudios han intentado contrastar empíricamente la existencia de una relación entre el stock de capital humanolocal y la productividad del territorio, así como la posible presencia de economías externas asociadas a aquél. El resultado común de dichos estudios ha consistido en encontrar una correlación positiva entre ambas variables Losdiversos autores no coinciden, en cambio, a la hora de explicar dicho resultado: un primer grupo de autores argumenta la presencia de economíasexternas vinculadas al capital humano mientras que un segundo grupo plantea la existencia de relaciones de complementariedad entre los diversos factores productivos y, más en concreto, entre el capital humano y el capital físico.El objetivo de este trabajo es analizar la existencia de una posible relación positiva entre el nivel de capital humano de las provincias españolas y su productividad de éstas y, a continuación, averiguar si el canal a través delcual se produce el efecto son las economías externas. Para ello, se aplica unametodología que consta de dos etapas. En la primera, se estima una ecuación de Mincer utilizando información de la Encuesta de Presupuestos Familiares a fin de obtener una estimación de la productividad media de cada una de las provincias españolas una vez controlado el efecto del capital humano de los individuos sobre su propia productividad. En una segunda etapa, la estimación de la productividad provincial media estimada se introduce como variable endógena en una nueva ecuación cuyas variables explicativas intentan aproximar el nivel de capital humano de cada una de las provincias. A partir de esta segunda regresión se detecta una relación positiva entre la productividad media estimada del territorio y el nivel educativo medio delmismo. Sin embargo, la principal conclusión del análisis realizado es que dicha relación no puede explicarse por el impacto de las economías externas generadas exógenamente por el capital humano, sino que debe atribuirse a otros efectos que, actuando también por lado de la demanda, impulsen al alza la productividad.

Capital humano local y productividad en las provincias españolas

En la última década, distintos estudios han intentado contrastar empíricamente la existencia de una relación entre el stock de capital humanolocal y la productividad del territorio, así como la posible presencia de economías externas asociadas a aquél. El resultado común de dichos estudios ha consistido en encontrar una correlación positiva entre ambas variables Losdiversos autores no coinciden, en cambio, a la hora de explicar dicho resultado: un primer grupo de autores argumenta la presencia de economíasexternas vinculadas al capital humano mientras que un segundo grupo plantea la existencia de relaciones de complementariedad entre los diversos factores productivos y, más en concreto, entre el capital humano y el capital físico.El objetivo de este trabajo es analizar la existencia de una posible relación positiva entre el nivel de capital humano de las provincias españolas y su productividad de éstas y, a continuación, averiguar si el canal a través delcual se produce el efecto son las economías externas. Para ello, se aplica unametodología que consta de dos etapas. En la primera, se estima una ecuación de Mincer utilizando información de la Encuesta de Presupuestos Familiares a fin de obtener una estimación de la productividad media de cada una de las provincias españolas una vez controlado el efecto del capital humano de los individuos sobre su propia productividad. En una segunda etapa, la estimación de la productividad provincial media estimada se introduce como variable endógena en una nueva ecuación cuyas variables explicativas intentan aproximar el nivel de capital humano de cada una de las provincias. A partir de esta segunda regresión se detecta una relación positiva entre la productividad media estimada del territorio y el nivel educativo medio delmismo. Sin embargo, la principal conclusión del análisis realizado es que dicha relación no puede explicarse por el impacto de las economías externas generadas exógenamente por el capital humano, sino que debe atribuirse a otros efectos que, actuando también por lado de la demanda, impulsen al alza la productividad.

2011 Diabetes in Iowa Supplement to the 2009 Iowa Chronic Disease Report, October 1, 2012

The Iowa Behavioral Risk Factor Surveillance System (BRFSS), a household interview survey of adults that began to include a core question covering diagnosed diabetes prevalence in 1988, is the primary source of data in this Iowa Chronic Disease Report supplemental update on diabetes. Most rates in this supplement are age-adjusted, rather than crude rates. Age-adjusting eliminates differences in rates that are attributable to populations being compared having difference age distributions.

Sticky income inequality in the Spanish transition (1973-1990)

This paper investigates the evolution of income inequality in Spain during its transition to democracy, suggesting a method for the correction of under-reporting of earnings and profits in the Household Budget Surveys’ data. The contribution is twofold: the methodological proposal, based on income expenditure discrepancy and scaling-up to National Accounts, improves on previous work, and can be convenient for similar historical sources in other countries. Secondly, its application results in an alternative history of the distribution of income in this case, changing the levels and also the observed trend. Previous literature asserted a substantial equalization, related to the democratization process, while after the adjustment inequality in disposable income is shown to have been quite persistent.

Capacitação tecnológica e Catching Up: o caso das regiões metropolitanas emergentes brasileiras

Since the 1970's the loss of industrial output share of Sao Paulo Metropolitan Area relative to Brazil's industrial output has been explained by a process of "reversal polarization". This article aims to analyze the catching up effect of variables of productive efficiency, such as technological capacity and labor force skill. The main point is to analyze if the behavior of these variables favored or reduced desagglomeration of Sao Paulo city and the resulting agglomeration effect on Brazilian emerging metropolitan areas. Utilizing the Household Sample Survey (PNAD) of the Brazilian Geography and Statistics Institute (IBGE) we will test if there has been technological catching up between São Paulo (defined as the frontier) and second-tier metropolis of southern Brazil (Belo Horizonte, Curitiba and Porto Alegre). A set of panel data tests the importance of the variables referred to on spatial distribution of Brazilian industry.

Possible solution of some essential zero problems in compositional data analysis

One of the tantalising remaining problems in compositional data analysis lies in how to deal with data sets in which there are components which are essential zeros. By an essential zero we mean a component which is truly zero, not something recorded as zero simply because the experimental design or the measuring instrument has not been sufficiently sensitive to detect a trace of the part. Such essential zeros occur in many compositional situations, such as household budget patterns, time budgets, palaeontological zonation studies, ecological abundance studies. Devices such as nonzero replacement and amalgamation are almost invariably ad hoc and unsuccessful in such situations. From consideration of such examples it seems sensible to build up a model in two stages, the first determining where the zeros will occur and the second how the unit available is distributed among the non-zero parts. In this paper we suggest two such models, an independent binomial conditional logistic normal model and a hierarchical dependent binomial conditional logistic normal model. The compositional data in such modelling consist of an incidence matrix and a conditional compositional matrix. Interesting statistical problems arise, such as the question of estimability of parameters, the nature of the computational process for the estimation of both the incidence and compositional parameters caused by the complexity of the subcompositional structure, the formation of meaningful hypotheses, and the devising of suitable testing methodology within a lattice of such essential zero-compositional hypotheses. The methodology is illustrated by application to both simulated and real compositional data

Truancy in secondary pupils: prevalance, trajectories and pupil perspectives

School absenteeism and particularly unauthorized absenteeism or truancy has been the focus of a number of, so far largely unsuccessful, recent policy initiatives. The paper draws upon two sources of data, the British Household Panel Survey and detailed interviews with a group of persistent truants, to consider the extent, consequences and explanations for truancy from secondary schools. Truancy increases steadily across the years of secondary school and, especially in the later years of compulsory schooling there is evidence that patterns of truancy established in one year carry on into the next. Truancy is strongly associated with negative outcomes in terms of not staying in education post-16, GCSE results and becoming unemployed. Coming from families of low socio-economic status, parents not monitoring homework, negative attitudes towards teachers and the value of education are all associated with higher levels of truancy. However, the majority of young people in these situations do not truant and there are many truants who do not have these characteristics. A major explanation given by young people themselves for their non-attendance is poor relationships with teachers, including teachers failing to match their expectations. Other factors mentioned by young people include bullying but also a more general dislike of the atmosphere of the school, sometimes associated with a change of school. There was little evidence of negative responses to the curriculum leading to truancy. It is suggested that we can distinguish between socio-economic and attitudinal factors which make young people vulnerable to truancy and precipitating events or processes which result in truanting behaviour.

Educational participation post-16: a longitudinal analysis of intentions and outcomes

The issue of levels of participation in post-compulsory education has been emphasised by the current policy initiatives to increase the age to which some form of participation is compulsory. One of the acknowledged weaknesses of research in the field of children's intentions with regard to participation is the lack of longitudinal data. This paper offers a longitudinal analysis using the Youth Survey from the British Household Panel Survey. The results show that most children can express intentions with regard to future participation very early in their secondary school careers and that these intentions are good predictors of actual behaviour five years later. Intentions to stay on are more consistent than intentions to leave and most children who finally leave at 16 have at some point said they want to remain in education post-16. The strongest association with participation levels is attainment at GCSE. However, there are also influences of gender and parental background and these remain, even after attainment is held constant. The results show the value of focusing on intentions for participation at a very early stage of children's school careers and also the importance of current attempts to reform curriculum and assessment for the 14-19 age group.

Are happy youth also satisfied adults? An analysis of the impact of childhood factors on adult life satisfaction

This paper aims to consider whether there is a link between youth happiness levels and adult life satisfaction. Our results are unequivocal that such a link exists both because demographic and socio-economic conditions are persistent over a lifetime and also because there is a persistence in personality effects. To test this link, we estimate a model of happiness for a sample of young people. This model provides us with a range of variables measuring socio-economic effects and personality effects amongst young people. These variables are then included in the adult life satisfaction model. The model is estimated using data from the British Household Panel Survey for 1994–2008. In addition to childhood happiness levels influencing adult life satisfaction significantly, we also find that the youthful personality trait for happiness has a larger effect on adult life satisfaction than demographic and socio-economic conditions.

The housing pathways of young people in the UK

The authors examine the housing pathways of young people in the UK in the years 1999 to 2008, and consider the changing nature of these pathways in the run up to 2020. They employ a highly innovative methodology, which begins with the identification and description of key drivers likely to affect young people’s housing circumstances in the future. The empirical identification and analysis of housing pathways is then achieved using multiple-sequence analysis and cluster analysis of the British Household Panel Survey, contextualised by qualitative interviews with a large sample of young people. The authors describe how the interactions between the meanings, perceptions, and aspirations of young people, and the opportunities and constraints imposed by the drivers, are having a major impact on young people’s housing pathways, resulting in considerable housing policy challenges, particularly in relation to the private rented sector

The relationship between size of living space and subjective well-being

Against a background of shrinking new homes and forebodings of “rabbit hutch Britain”, the relationship between size of living space and subjective well-being has never been more topical in the UK. Using the British Household Panel Survey (BHPS) and fixed effects regressions, this paper is the first to examine this relationship comprehensively. Two pathways are proposed between space and subjective well-being. First, space facilitates values and activities. Second, space signals wealth which in turn influences social status. It is proposed that wealth is a more important determinant of status for men than women, and that pathway two is therefore gendered. Part one of the paper examines the effect of a change in number of rooms per person on housing satisfaction and subjective well-being in the BHPS as a whole. Despite having a similar effect on the housing satisfaction of both genders, an increase in living space has only a (weak) positive linear effect on the life satisfaction and mental health of men. This suggests that space affects subjective well-being through pathway two, status. Part two of the paper tracks the housing satisfaction and subjective well-being over time of those individuals who move for “larger accommodation”. Consistent with various theories of adaptation, housing satisfaction increases in the year of the move; then decreases slightly before levelling out. Moving for “larger accommodation” has no positive impact on subjective well-being. Overall the results imply a weak positive relationship between size of living space and subjective well-being, but only for men.