11 research outputs found
Top incomes in the Netherlands and the United Kingdom over the 20th Century
A method is developed for using income-tax data to investigate the evolution of the highest incomes over virtually the entire 20th century. The income shares of the top 10, 5, 1, 0.5, 0.1, and 0.05 percent are analysed for the UK and the Netherlands. For considering the top shares among themselves the "Pareto–Lorenz coefficient" is proposed. Between the two countries, the top shares appear to undergo a strikingly similar and strong decline up to the mid-1970s. Since then British top shares have increased significantly while Dutch shares remained basically unchanged. This outcome parallels similar results for the US and France obtained by Piketty and Saez and poses interesting questions for research
The prevalence of poor reading in Dutch Special Elementary Education
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Occupational exposure to carcinogens and risk of lung cancer: results from The Netherlands cohort study.
Clinical experience of rehabilitation therapists with chronic diseases: a quantitative approach
How Does the General Public Evaluate Risk Information? The Impact of Associations with Other Risks
Tobacco advertising restrictions, price, income and tobacco consumption in OECD countries, 1960-1986
Higher prevalence of mental disorders in socioeconomically deprived urban areas in The Netherlands: community or personal disadvantage?
OBJECTIVE: Major mental disorders occur more frequently in deprived urban areas. This study examines whether this occurs for all mental disorders, including less serious ones. It further assesses whether such a concentration can be explained by the socioeconomic status (SES) of the residents concerned or that a cumulation of problems in deprived areas reinforces their occurrence. DESIGN: Mental disorders were assessed by means of the General Health Questionnaire (GHQ) among 4892 residents. Additional data were obtained on area deprivation, and on individual SES. Multilevel logistic regression models were used to take the hierarchical structure of the data into account, residents being nested in boroughs. SETTING: General population of the city of Amsterdam, the Netherlands. MAIN OUTCOME MEASURE: Prevalence of an increased (> or = 2) score on the GHQ, 12 item version. RESULTS: Mental disorders occur more frequently in deprived areas but this can be explained by the lower SES of the residents concerned. CONCLUSIONS: The cumulation of mental disorders in deprived urban areas is mainly a result of a concentration of low SES people in these areas. Contextual factors of deprived urban areas give hardly any additional risk above that resulting from a low individual SES.