Welfare regimes and household income packaging in the European Union

This paper uses harmonized data for the member states of the European Union to analyse household income packaging from a 'welfare regimes' perspective. Using data from the third wave of the ECHP, it looks at how the role of welfare transfers in the income package varies across countries and welfare regimes, and assesses whether this is consistent with the predictions of welfare regime theory, having first elaborated some specific hypotheses in that regard. It finds that when one focuses on averages across countries categorized into regimes, many of these hypotheses about the role of transfers are in broad terms borne out by the evidence. However, when one focuses on individual countries rather than regime averages the picture is a good deal more complex and consistency with the range of hypotheses more limited. It is essential that this variation across countries is taken into account in interpreting and using welfare regime theory and typologies.

Understanding the mismatch between income poverty and deprivation: A dynamic comparative analysis

In this paper we seek to shed light on the mismatch between income poverty and deprivation through a comparative and dynamic analysis of both forms of disadvantage. By extending analysis over five waves of the ECHP we are able to take into account the key dimensions characterizing poverty profiles overtime. Our conclusions turn out to be remarkably stable across countries. While persistent income poverty measures are systematically related to both cross-sectional and longitudinal measures of deprivation, the scale of mismatch is no less at the latter than at the former level. There is some evidence that although rates of volatility for income and deprivation measures are roughly similar, the processes of change themselves are somewhat different. Further light is shed on the underlying processes by cross-classifying the forms of deprivation. Those exposed to both types of deprivation are differentiated from others in terms of need and resource variables. Conclusions relating to the socio-demographic influences on risk levels are influenced by choice and combination of indicators. The results of our analysis confirm the need to devote considerably more attention than heretofore to the analysis of multi-dimensional poverty dynamics.

Persistent income poverty and deprivation in the European Union: An analysis of the first three waves of the European Community Household Panel

Poverty research has increasingly focused on persistent income poverty, both as a crucial social indicator and as a target for policy intervention. Such an approach can lead to an identification of a sub-set of poor individuals facing particularly adverse circumstances and/or distinctive problems in escaping from poverty. Here we seek to establish whether, in comparison with cross-sectional measures, persistent poverty measures also provide a better measure of exclusion from a minimally acceptable way of life and relate with other important variables in a logical fashion. Our analysis draws upon the first three waves of the ECHP and shows that a persistent poverty measure does constitute a significant improvement over its cross-sectional counterpart in the explanation of levels of deprivation. Persistent poverty is related to life-style deprivation in a manner that comes close to being uniform across countries. The measure of persistence also conforms to our expectations of how a poverty measure should behave in that, unlike relative income poverty lines, defining the threshold level more stringently enables us to identify progressively groups of increasingly deprived respondents. Overall the persistent poverty measure constitutes a significant advance on cross-sectional income measures. However, there is clearly a great deal relating to the process of accumulation and of erosion of resources, which is not fully captured in the persistent poverty measure. In the absence of such information, there is a great deal to be said for making use of both types of indictors in formulating and evaluating policies while we continue to improve our understanding of longer-term processes.

Income, deprivation, and economic strain. An analysis of the European community household panel

This paper is concerned with the relationship between household income and life-style deprivation, and their combined impact on households' perceptions of economic strain. It takes as a point of departure findings from a number of European countries showing that the relationship between income and deprivation is weaker than widely assumed and that relative income poverty lines may perform poorly in terms of identifying the most deprived households. It proceeds to examine how far these conclusions about income and deprivation can be generalized to the countries included in the first wave of the European Community Household Panel. Results show that five distinct dimensions of deprivation emerge from an overall European analysis and that these are consistent across individual countries. While a good deal of similarity is observed in the income-deprivation relationship, countries differ in the strength of relationship between income and what is termed 'current liferstyle deprivation' with the relationship being generally weakest in the richer countries. The implications of these findings for the use of relative income poverty lines are developed. Extending this analysis to an assessment of how income and deprivation combine to influence perceptions of economic strain, we show that within-nation reference group processes operating in a uniform manner across countries can account for the bulk of the variation in strain. Cross-national differences can be accounted for by corresponding variation in income and deprivation levels.

Analyzing Intergenerational Influences on Income Poverty & Economic Vulnerability with EU-SILC

The European Union Statistics of Income and Living Conditions
(EU-SILC) 2005 wave includes a special module on inter-generational
transmission of poverty. In addition to the standard data relating to income
and material deprivation, information relating to parental background and
childhood circumstances was collected for all household members aged over
24 and less than 66 at the end of the income reference period. In principle,
the module provides an unprecedented opportunity to apply a welfare regime
perspective to a comparative European analysis of the relationship between
poverty and social exclusion and parental characteristics and childhood
economic circumstances. In this paper, we seek to exploit such potential. In
pursuing this objective, it is necessary to take into account some of the
limitations of the data. We do by restricting our attention to a set of
countries where data issues seem less extreme. Finally, we compare findings
from one dimensional and multidimensional approaches to poverty and social
exclusion in order to provide an assessment of the extent to which our
analysis of welfare regime variation provides a coherent account of the
intergenerational transmission of disadvantage.

Dimensions of Financial Autonomy in Low-/Moderate-Income Couples from a Gender Perspective and Implications for Welfare Reform

The ‘unitary household’ lives on in policymakers’ assumptions about couples sharing their finances. Yet financial autonomy is seen as a key issue in gender relations, particularly for women. This article draws on evidence from semi-structured individual interviews with men and women in thirty low-/moderate-income couples in Britain. The interviews explored whether financial autonomy had any meaning to these individuals; and, if so, to what extent this was gendered in the sense of there being differences in men's and women's understanding of it. We develop a framework for the investigation of financial autonomy, involving several dimensions: achieving economic independence, having privacy in one's financial affairs and exercising agency in relation to household and/or personal spending. We argue that financial autonomy is a relevant issue for low-/moderate-income couples, and that women are more conscious of tensions between financial togetherness and autonomy due to their greater responsibility for managing togetherness and lower likelihood of achieving financial independence. Policymakers should therefore not discount the aspirations of women in particular for financial autonomy, even in low-/moderate-income couples where there remain significant obstacles to achieving this. Yet plans for welfare reform that rely on means testing and ignore intra-household dynamics in relation to family finances threaten to exacerbate these obstacles and reinforce a unitary family model.

Economic globalization, inequality and body mass index:a cross-national analysis of 127 countries

This article investigates to what extent the worldwide increase in body mass index (BMI) has been affected by economic globalization and inequality. We used time-series and longitudinal cross-national analysis of 127 countries from 1980 to 2008. Data on mean adult BMI were obtained from the Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group. Globalization was measured using the Swiss Economic Institute (KOF) index of economic globalization. Economic inequality between countries was measured with the mean difference in gross domestic product per capita purchasing power parity in international dollars. Economic inequality within countries was measured using the Gini index from the Standardized World Income Inequality Database. Other covariates including poverty, population size, urban population, openness to trade and foreign direct investment were taken from the World Development Indicators (WDI) database. Time-series regression analyses showed that the global increase in BMI is positively associated with both the index of economic globalization and inequality between countries, after adjustment for covariates. Longitudinal panel data analyses showed that the association between economic globalization and BMI is robust after controlling for all covariates and using different estimators. The association between economic inequality within countries and BMI, however, was significant only among high-income nations. More research is needed to study the pathways between economic globalization and BMI. These findings, however, contribute to explaining how contemporary globalization can be reformed to promote better health and control the global obesity epidemic. © 2013 Copyright Taylor and Francis Group, LLC.

Seasonality of cardiovascular risk factors: an analysis including over 230 000 participants in 15 countries

Objective: To assess the seasonality of cardiovascular risk factors (CVRF) in a large set of population-based studies.

Methods: Cross-sectional data from 24 population-based studies from 15 countries, with a total sample size of 237 979 subjects. CVRFs included Body Mass Index (BMI) and waist circumference; systolic (SBP) and diastolic (DBP) blood pressure; total, high (HDL) and low (LDL) density lipoprotein cholesterol; triglycerides and glucose levels. Within each study, all data were adjusted for age, gender and current smoking. For blood pressure, lipids and glucose levels, further adjustments on BMI and drug treatment were performed.

Results: In the Northern and Southern Hemispheres, CVRFs levels tended to be higher in winter and lower in summer months. These patterns were observed for most studies. In the Northern Hemisphere, the estimated seasonal variations were 0.26 kg/m2 for BMI, 0.6 cm for waist circumference, 2.9 mm Hg for SBP, 1.4 mm Hg for DBP, 0.02 mmol/L for triglycerides, 0.10 mmol/L for total cholesterol, 0.01 mmol/L for HDL cholesterol, 0.11 mmol/L for LDL cholesterol, and 0.07 mmol/L for glycaemia. Similar results were obtained when the analysis was restricted to studies collecting fasting blood samples. Similar seasonal variations were found for most CVRFs in the Southern Hemisphere, with the exception of waist circumference, HDL, and LDL cholesterol.

Conclusions: CVRFs show a seasonal pattern characterised by higher levels in winter, and lower levels in summer. This pattern could contribute to the seasonality of CV mortality.

Inequality and Heights

This chapter discusses opportunities and limitations of height inequality, especially the role of social status and income distribution in determining height inequality. The more unequal the income distribution in a society, the more unequal the corresponding height distribution. At one time, the height gap between rich and poor teenagers in industrializing England was as high as 22 cm (8.7 inches); today, height inequality tends to be much lower (on the order of a few centimeters) because the gap between rich and poor in developed countries tends to be smaller. Results presented here suggest that height inequality is driven by differences in purchasing power, education, physical workload, and epidemiological environment. In a modern setting, social safety and redistribution of income is also relevant. An introduction into the literature helps illustrate opportunities this methodology has to offer to understand better the dynamics of the way populations experience economic development.

Global surveillance of cancer survival 1995–2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2)

BACKGROUND: Worldwide data for cancer survival are scarce. We aimed to initiate worldwide surveillance of cancer survival by central analysis of population-based registry data, as a metric of the effectiveness of health systems, and to inform global policy on cancer control.

METHODS: Individual tumour records were submitted by 279 population-based cancer registries in 67 countries for 25·7 million adults (age 15-99 years) and 75,000 children (age 0-14 years) diagnosed with cancer during 1995-2009 and followed up to Dec 31, 2009, or later. We looked at cancers of the stomach, colon, rectum, liver, lung, breast (women), cervix, ovary, and prostate in adults, and adult and childhood leukaemia. Standardised quality control procedures were applied; errors were corrected by the registry concerned. We estimated 5-year net survival, adjusted for background mortality in every country or region by age (single year), sex, and calendar year, and by race or ethnic origin in some countries. Estimates were age-standardised with the International Cancer Survival Standard weights.

FINDINGS: 5-year survival from colon, rectal, and breast cancers has increased steadily in most developed countries. For patients diagnosed during 2005-09, survival for colon and rectal cancer reached 60% or more in 22 countries around the world; for breast cancer, 5-year survival rose to 85% or higher in 17 countries worldwide. Liver and lung cancer remain lethal in all nations: for both cancers, 5-year survival is below 20% everywhere in Europe, in the range 15-19% in North America, and as low as 7-9% in Mongolia and Thailand. Striking rises in 5-year survival from prostate cancer have occurred in many countries: survival rose by 10-20% between 1995-99 and 2005-09 in 22 countries in South America, Asia, and Europe, but survival still varies widely around the world, from less than 60% in Bulgaria and Thailand to 95% or more in Brazil, Puerto Rico, and the USA. For cervical cancer, national estimates of 5-year survival range from less than 50% to more than 70%; regional variations are much wider, and improvements between 1995-99 and 2005-09 have generally been slight. For women diagnosed with ovarian cancer in 2005-09, 5-year survival was 40% or higher only in Ecuador, the USA, and 17 countries in Asia and Europe. 5-year survival for stomach cancer in 2005-09 was high (54-58%) in Japan and South Korea, compared with less than 40% in other countries. By contrast, 5-year survival from adult leukaemia in Japan and South Korea (18-23%) is lower than in most other countries. 5-year survival from childhood acute lymphoblastic leukaemia is less than 60% in several countries, but as high as 90% in Canada and four European countries, which suggests major deficiencies in the management of a largely curable disease.

INTERPRETATION: International comparison of survival trends reveals very wide differences that are likely to be attributable to differences in access to early diagnosis and optimum treatment. Continuous worldwide surveillance of cancer survival should become an indispensable source of information for cancer patients and researchers and a stimulus for politicians to improve health policy and health-care systems.

Waiting time for cataract surgery and its influence on patient attitudes.

PURPOSE:

To characterize willingness to pay for private operations and preferred waiting time among patients awaiting cataract surgery in Hong Kong.

METHODS:

This was a cross-sectional survey. Subjects randomly selected from cataract surgical waiting lists in Hong Kong (n = 467) underwent a telephone interview based on a structured, validated questionnaire. Data were collected on private insurance coverage, preferred waiting time, amount willing to pay for surgery, and self-reported visual function and health status.

RESULTS:

Among 300 subjects completing the interview, 144 (48.2%) were 76 years of age or older, 177 (59%) were women, and mean time waiting for surgery was 17 +/- 15 months. Among 220 subjects (73.3%) willing to pay anything for surgery, the mean amount was US$552 +/- 443. With adjustment for age, education, and monthly household income, subjects willing to pay anything were less willing to wait 12 months for surgery (OR = 4.34; P = 0.002), more likely to know someone having had cataract surgery (OR = 2.20; P = 0.03), and more likely to use their own savings to pay for the surgery (OR = 2.21; P = 0.04). Subjects considering private cataract surgery, knowing people who have had cataract surgery, using nongovernment sources to pay for surgery, and having lower visual function were willing to pay more.

CONCLUSIONS:

Many patients wait significant periods for cataract surgery in Hong Kong, and are willing to pay substantial amounts for private operations. These results may have implications for other countries with cataract waiting lists.

Parallel Time Series Analysis and Income Inequality: A New Approach to Comparative Case Studies

This case study deals with the role of time series analysis in sociology, and its relationship with the wider literature and methodology of comparative case study research. Time series analysis is now well-represented in top-ranked sociology journals, often in the form of ‘pooled time series’ research designs. These studies typically pool multiple countries together into a pooled time series cross-section panel, in order to provide a larger sample for more robust and comprehensive analysis. This approach is well suited to exploring trans-national phenomena, and for elaborating useful macro-level theories specific to social structures, national policies, and long-term historical processes. It is less suited however, to understanding how these global social processes work in different countries. As such, the complexities of individual countries - which often display very different or contradictory dynamics than those suggested in pooled studies – are subsumed. Meanwhile, a robust literature on comparative case-based methods exists in the social sciences, where researchers focus on differences between cases, and the complex ways in which they co-evolve or diverge over time. A good example of this is the inequality literature, where although panel studies suggest a general trend of rising inequality driven by the weakening power of labour, marketisation of welfare, and the rising power of capital, some countries have still managed to remain resilient. This case study takes a closer look at what can be learned by applying the insights of case-based comparative research to the method of time series analysis. Taking international income inequality as its point of departure, it argues that we have much to learn about the viability of different combinations of policy options by examining how they work in different countries over time. By taking representative cases from different welfare systems (liberal, social democratic, corporatist, or antipodean), we can better sharpen our theories of how policies can be more specifically engineered to offset rising inequality. This involves a fundamental realignment of the strategy of time series analysis, grounding it instead in a qualitative appreciation of the historical context of cases, as a basis for comparing effects between different countries.