4 resultados para temporal analysis


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903 páginas, bibliografía en páginas 854-895, glosario en páginas 896-903

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The main objective of this paper is to estimate wage differentials between permanent and temporal workers for different qualification levels and decompose such differentials to see which factors contribute more to explain them. The data we use is the "Encuesta de Estructura Salarial", a survey carried out in 1995 in all countries of the European Union, which contains very detailed information on wages and other characteristics for about 180.000 workers. The empirical results indicate that (a) the wage gap between permanent and temporal workers increases with qualification and it is smaller for females than for males, (b) when decomposing average wage differentials for each qualification level, we observe that the vast majority of such differential is explainedby differences in characteristics, and in particular by differences in tenure and occupation. With respect to differences in returns, our results indicate that the returns to tenure are higher for temporal workres relative to permanent workers for both males and females and for every qualification level. Returns to occupation are higher for permanent than for temporal workers, and the differenceis particularly high for females.

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Background: The impact of socio-demographic factors and baseline health on the mortality burden of seasonal and pandemic influenza remains debated. Here we analyzed the spatial-temporal mortality patterns of the 1918 influenza pandemic in Spain, one of the countries of Europe that experienced the highest mortality burden. Methods: We analyzed monthly death rates from respiratory diseases and all-causes across 49 provinces of Spain, including the Canary and Balearic Islands, during the period January-1915 to June-1919. We estimated the influenza-related excess death rates and risk of death relative to baseline mortality by pandemic wave and province. We then explored the association between pandemic excess mortality rates and health and socio-demographic factors, which included population size and age structure, population density, infant mortality rates, baseline death rates, and urbanization. Results: Our analysis revealed high geographic heterogeneity in pandemic mortality impact. We identified 3 pandemic waves of varying timing and intensity covering the period from Jan-1918 to Jun-1919, with the highest pandemic-related excess mortality rates occurring during the months of October-November 1918 across all Spanish provinces. Cumulative excess mortality rates followed a south-north gradient after controlling for demographic factors, with the North experiencing highest excess mortality rates. A model that included latitude, population density, and the proportion of children living in provinces explained about 40% of the geographic variability in cumulative excess death rates during 1918-19, but different factors explained mortality variation in each wave. Conclusions: A substantial fraction of the variability in excess mortality rates across Spanish provinces remained unexplained, which suggests that other unidentified factors such as comorbidities, climate and background immunity may have affected the 1918-19 pandemic mortality rates. Further archeo-epidemiological research should concentrate on identifying settings with combined availability of local historical mortality records and information on the prevalence of underlying risk factors, or patient-level clinical data, to further clarify the drivers of 1918 pandemic influenza mortality.