Integration of datasets to provide insights about households' natural gas expenditure as trigger to building stock decarbonisation.

Deep-renovations measures are identified as possible solutions to support European Union's natural gas phase-out and fuel independency. However, it has been difficult to increase renovation rates (about 1% per year), and previous studies have recognized socio-economic barriers as one of the reasons for that. Then, integrated (techno-socio-economic) datasets are vital to support building policy measures that circumvent the negative consequences of high gas prices. This paper's main objective is to develop and to test a methodology that merges two data sources: the European Union Statistics on Income and Living Conditions and the Household Budget Survey in order to create an integrated techno-socio-economic dataset. The following research questions are answered: What is the replicable methodology for merging both datasets in order to create an accurate statistical model? What can we learn about household savings and natural gas expenditures of household types characterised by ownership status and dwelling type? The modelling results show that the developed logistic regression model presented an accuracy of 77% using 2015 data from Spain. The explorative statistical analysis showed that the owner-occupied single-family houses predominate in the highest natural gas expenditure quintiles, while the rented single-family houses in the lowest quintiles, indicating that ownership status may have a stronger influence on the natural gas expenditure than building type. The mean annual household savings are negative, an evidence of households' budget restrictions to finance deep renovation activities. As a conclusion, the generated techno-socio-economic synthetic dataset provides useful information about the relation between household budget restrictions, natural gas expenditure and potential investment on deep renovation. Based on the generated dataset, it is also concluded that higher natural gas prices alone are not sufficient to stimulate deep renovations. For boosting renovation activities, the design of financing and incentive schemes should be end-user targeted considering the households' heterogeneity. Then, the definition of households' profiles should include ownership status and other socio-economic parameters not only dwelling type. This work prepares the ground for setting techno-socio-economic databases that can be used to design more accurate incentives and financing schemes to accelerate European building stock decarbonisation and fossil fuel independency.

Education and active labour market policy complementarities in promoting employment: Reinforcement, substitution and compensation.

This paper theorises and empirically assesses how education and active labour market policy (ALMP) relate to each other in shaping individuals' employment chances in Europe. It provides a theoretical base for assessing policy complementarities building on sociological skill-formation literature, varieties of capitalism and social investment literature. Two hypotheses of complementarity are advanced: reinforcement whereby higher investment in general skills via education boosts ALMP effectiveness; and substitution-compensation whereby investments in either policy suffice, rendering individual employment chances less dependent on ALMPs at higher (prior) educational investment levels. The advanced theoretical propositions are empirically tested by looking at how individual employment chances are affected by national ALMP efforts conditional on workforce education, distinguishing between individual- and national-level educational attainment. Analyses draw on micro-level EU-SILC longitudinal data 2003-2015 from 29 European countries and 285 country-years applying mixed-effects dynamic panel regression models. Results highlight the complementarity of education in the functioning of ALMPs and show that the education-ALMP interplay follows different dynamics when individual or national education are considered, with substitution-compensation for the former and reinforcement for the latter. Higher individual educational attainment is associated with lower marginal returns from national ALMP efforts, with higher ALMP effectiveness among the lower-educated. By contrast, higher national educational attainment is associated with increased ALMP effectiveness, with ALMPs tending to be far less effective at low levels of highly educated workforce. Different interaction patterns are observed for youth, indicating increased difficulty in activating this risk group.

Size or Content of the Pie? Source of Income and Perceived Income Adequacy of Older Europeans.

While public pensions are usually the main source of income in old age, other sources of income may have various consequences for pensioners' economic well-being across households and countries. In this study, we analyze how perceived income adequacy of older Europeans is shaped by the source and the income level. We hypothesize that the source of income can be related to a household's perceived income adequacy beyond the money it provides. We distinguish four categories of income sources: (old age) pensions, other social benefits, work, and capital. We show that the source of income is related to perceived adequacy beyond the money it provides. Compared with pensions, income from other social benefits or work is associated with lower, and income from capital with higher perceptions of adequacy. Perceived adequacy of income from different sources varied further across the household income level. The results convey important messages to the policy makers. Pensions are a powerful policy tool, as they provide positive externalities beyond their monetary value. Attention should also be paid to the low-income households' possibilities to save.

Determinants of individual income in EU countries: implications for social policy targeting.

Introduction: The introduction of the Income Index constructed by authors as well as the identification of demographic, socio-economic and occupation-related factors influencing the income of individuals in EU countries is the main contribution of the paper. The Income Index makes it possible to analyze data of individuals from all EU countries. Methods: The multiple hierarchical regression of EU-SILC microdata provides the factors that influence individuals' income. Results: Outcomes show through which factors can be intervened in social policy settings to reduce income inequality. Factors significantly affecting the Income Index are the household composition, occupation sector (typically agriculture and accommodation and services are related to low incomes) and the degree of urbanization (rural areas with the lowest incomes of individuals). Discussion: Findings confirm ongoing discussions about the specific position of single parent households in the labour market and their need for social support.

Well-Being Adjusted Health Expectancy: A New Summary Measure of Population Health.

We propose a new summary measure of population health (SMPH), the well-being-adjusted health expectancy (WAHE). WAHE belongs to a subgroup of health-adjusted life expectancy indicators and gives the number of life years equivalent to full health. WAHE combines health and mortality information into a single indicator with weights that quantify the reduction in well-being associated with decreased health. WAHE's advantage over other SMPHs lies in its ability to differentiate between the consequences of health limitations at various levels of severity and its transparent, simple valuation function. Following the guidelines of a Committee on Summary Measures of Population Health, we discuss WAHE's validity, universality, feasibility sensitivity and ensure its reproducibility. We evaluate WAHE's performance compared to life expectancy, the most commonly used indicators of health expectancy (HE) and disability-adjusted life expectancy (DALE) in an empirical application for 29 European countries. Data on health and well-being are taken from the 2018 EU-SILC, and the life tables are from Eurostat. DALE is taken from the database of the Global Burden of Disease Programme. WAHE's sensitivity to univariate and multivariate state specifications is studied using the three Minimum European Health Module health dimensions: chronic morbidity, limitations in activities of daily living, and self-rated health. The empirical tests of the indicators' correspondence reveal that WAHE has the strongest correlation with the other SMPHs. Moreover, WAHE estimates are in agreement with all other SMPHs. Additionally, WAHE and all other SMPHs form a group of reliable indicators for studying population health in European countries. Finally, WAHE estimates are robust, regardless of whether health is defined across one or multiple simultaneous dimensions of health. We conclude that WAHE is a useful and reliable indicator of population health and performs at least as well as other commonly used SMPHs. Supplementary Information: The online version contains supplementary material available at 10.1007/s10680-022-09628-1.

Role of Age and Education as the Determinant of Income Inequality in Poland: Decomposition of the Mean Logarithmic Deviation.

Measures of inequality can be used to illustrate inequality between and within groups, but the choice of the appropriate measure can have different implications. This study focused on the Mean Logarithmic Deviation, the measure proposed by Theil and based on the techniques of statistical information theory. The MLD was selected because of its attractive properties: fulfillment of the principle of monotonicity and the possibility of additive decomposition. The following study objectives were formulated: (1) to assess the degree of inequality in the population and in the distinguished subgroups, (2) to determine the extent to which education and age influence the level of inequality, and (3) to ascertain what factors contribute to changes in the level of inequality in Poland. The study confirmed an association between the level of education and the average income of the groups distinguished on this basis. The education level of the household head remains an important determinant of household income inequality in Poland, despite the decline in the "educational bonus". The study also found that differences in the age of the household head had a smaller effect on income inequality than the level of education. However, it can be concluded that the higher share of older people may contribute to an increase in income inequality between groups, as the income from pension in Poland is more homogeneous than the income from work in younger groups. Moreover, the current paper seeks to situate Theil's approach in the context of scholarly writings since 1967.

Are partner's features important to understand health at older ages? The Spanish case / ¿Son importantes las características de la pareja para entender la salud en edades avanzadas? El caso español

Objective: To analyse health differences among partnered individuals in Spain aged 65-81 considering their combined (education of both partners and age gap) and household (economic capacity of the household) characteristics. Method: A cross-sectional study of the 2015 Spanish sample of the European Union Statistics on Income and Living Conditions survey (EU-SILC) on partnered individuals aged 65-81 years (N=1787). Using logistic regression models separately for women and men we obtained odds and predicted probabilities of having less than good health (95% confidence intervals) according to combined information from both partners on education and age, the household's economic capacity and partner's health status. Results: Probabilities of not having good health are significantly less among lower educated women whose partners are more highly educated (compared to both partners being lower educated) and among women whose partner is younger or has good health status. The latter also applies to men. Living in a household without economic difficulties also favours health (both sexes). Conclusions: For both sexes a partner's health status is the variable that shows the largest effect on elderly partnered Spanish people's health but women's health appears to be more sensitive to their partner's educational attainment and the household's economic situation. (AU)

Objetivo: Analizar las diferencias de salud entre la población española de 65 a 81 años de edad que vive en pareja, considerando características individuales, combinadas de ambos miembros y generales de la pareja. Método: Estudio transversal de la muestra española del año 2015 de la Encuesta Europea de Condiciones de Vida de personas mayores (edades 65-81 años) que conviven en pareja (N=1787). Mediante modelos de regresión logística independientes para mujeres y hombres se obtuvo la estimación de las probabilidades de no tener buena salud autopercibida (intervalos de confianza del 95%) según la combinación del nivel de estudios y la edad de ambos miembros de la pareja, así como la capacidad económica del hogar y el estado de salud del cónyuge. Resultados: Las probabilidades de no tener buena salud son significativamente menores entre las mujeres con menor nivel de educación cuyas parejas son más educadas (en comparación con las que tienen menos educación) y entre las mujeres cuya pareja es más joven o tiene un buen estado de salud. Esto último también se aplica a los hombres. Vivir en un hogar sin dificultades económicas también favorece la salud en ambos sexos. Conclusiones: Para ambos sexos, el estado de salud de la pareja es la variable que muestra el mayor efecto sobre la salud de la población mayor española que vive en pareja, aunque la salud de las mujeres parece ser más sensible al nivel educativo de su pareja y a la situación económica general del hogar. (AU)

Linked lives, linked retirement? Relative income differences within couples and gendered retirement decisions in Europe.

Our article investigates the role of relative income distributions within couples for individuals' retirement risks. It addresses the following questions: How does the share someone provides to the couple income affect that person's retirement decision? What gender differences do we observe and what contextual factors can explain country differences? Our multilevel analyses draw on data from the European Union Statistics on Income and Living Conditions (EU-SILC) study (2010-2016), comparing 26 countries. The results show that female main earners transition to retirement earlier than female secondary earners as they approach the official retirement age. This effect is even stronger in countries with more traditional gender norms. The opposite pattern is found for men, whereby male secondary earners retire earlier than male main earners in more gender traditional societies. We explain this finding on the basis of doing gender theories, which predict that gender-atypical behaviour in one area of life is compensated by traditional gender behaviour in other areas, especially in contexts with traditional gender norms. A further finding relates to the generosity of the country's pension replacement rate, which shows to be a factor facilitating retirement especially for those with an equal earning partner.

Are partner's features important to understand health at older ages? The Spanish case.

OBJECTIVE: To analyse health differences among partnered individuals in Spain aged 65-81 considering their combined (education of both partners and age gap) and household (economic capacity of the household) characteristics. METHOD: A cross-sectional study of the 2015 Spanish sample of the European Union Statistics on Income and Living Conditions survey (EU-SILC) on partnered individuals aged 65-81 years (N=1787). Using logistic regression models separately for women and men we obtained odds and predicted probabilities of having less than good health (95% confidence intervals) according to combined information from both partners on education and age, the household's economic capacity and partner's health status. RESULTS: Probabilities of not having good health are significantly less among lower educated women whose partners are more highly educated (compared to both partners being lower educated) and among women whose partner is younger or has good health status. The latter also applies to men. Living in a household without economic difficulties also favours health (both sexes). CONCLUSIONS: For both sexes a partner's health status is the variable that shows the largest effect on elderly partnered Spanish people's health but women's health appears to be more sensitive to their partner's educational attainment and the household's economic situation.

Until Death Do Us Part. The Influence of Own and Partner's Socioeconomic Status on the Health of Spanish Middle-Aged Population.

OBJECTIVES: To explore whether the influence of a partner's socioeconomic status (SES) on health has an additive or a combined effect with the ego's SES. METHODS: With data on 4533 middle-aged (30-59) different-sex couples from the 2012 Spanish sample of the European Union Statistics on Income and Living Conditions (EU-SILC) survey, we apply separate sex-specific logistic regression models to calculate predicted probabilities of having less than good self-perceived health according to individual and partner's characteristics separately and combined. RESULTS: Both approaches led to similar results: Having a partner with better SES reduces the probabilities of not having good health. However, the combined approach is more precise in disentangling SES effects. For instance, having a higher educated partner only benefits health among Spanish low-educated men, while men's health is worse if they have a working spouse. Conversely, women's health is positively influenced if at least one couple member is economically active. CONCLUSIONS: There are significant health differences between individuals according to their own and their partner's SES in an apparently advantageous population group (i.e., individuals living with a partner). The combinative approach permits obtaining more precise couple-specific SES profiles.

Reasons for unmet needs for health care: the role of social capital and social support in some western EU countries.

This paper focuses on the demand side factors that determine access to health care and analyses the issues of unmet needs for health care and the reasons thereof in western EU countries. A probit model is estimated from a sample of the whole population, accounting for the possibility of individual selection in unmet needs for health care (UN) (selection equation). Expanded probit models (including the inverse Mills ratio) are then used on the reasons for unmet needs (RUN) with social capital and social support as determinants and using the European Union Statistics on Income and Living Conditions dataset from 2006. In the RUN equations, the findings show that females, large households, people with low income and financial constraints, the unemployed and those in poor health have a higher probability of declaring unmet needs due to economic costs. Additionally, people in tertiary education, those with high income and the employed have a higher probability of not visiting a doctor when needed due to time constraints. Furthermore, the frequency of contact with friends and the ability to ask for help are correlated with a lower probability of unmet needs due to economic costs, while the frequency of contact with relatives is correlated with a lower probability of unmet needs due to time constraints and distance. However, the ability to ask for help is also correlated with a higher probability of not having medical care due to time constraints and the wait-and-see approach.

Who supports whom? Do adult children living at home share their incomes with their parents?

Across the developed world, young adults are now more likely to live with their parents than they were two or three decades ago. This is typically viewed, both in the media and in scholarly research, as an economic burden on parents. This article investigates, for the first time, the extent to which financial support is also given in the opposite direction, with young people contributing to their households' living costs. We use data on 19 European countries from the 2010 European Union Statistics on Income and Living Conditions (N = 553 in Austria to N = 2777 in Italy). Many young adults do share their incomes with their families, with the degree of sharing being the highest among the poorest households. In a substantial minority of households, particularly in lower-income countries, the contributions of young adult household members keep households out of poverty.

The Great Recession, financial strain and self-assessed health in Ireland.

In this paper, we study the effects of the 2008 economic crisis on general health in one of the most severely affected EU economies-Ireland. We examine the relationship between compositional changes in demographic and socio-economic factors, such as education, income, and financial strain, and changes in the prevalence of poor self-assessed health over a 5-year period (2008-2013). We apply a generalised Oaxaca-Blinder decomposition approach for non-linear regression models proposed by Fairlie (1999, 2005). Results show that the increased financial strain explained the largest part of the increase in poor health in the Irish population and different sub-groups. Changes in the economic activity status and population structure also had a significant positive effect. The expansion of education had a significant negative effect, preventing further increases in poor health. Wealthier and better educated individuals experienced larger relative increases in poor health, which led to reduced socio-economic health inequalities.

The Structure of Subjective Well-Being and Its Relation to Objective Well-Being Indicators: Evidence from EU-SILC for Serbia.

In this article, we examine the structure of the subjective well-being and its relation to objective well-being indicators using the data from the European Union's Survey on Income and Living Conditions (EU-SILC) from Serbia. This is one of the first papers to analyze a new module on subjective well-being from EU-SILC micro-dataset (with over 20,000 respondents). We investigate the factor structure of the items and the differences in the association of subjective well-being dimensions with objective indicators of well-being within the Organisation for Economic Co-operation and Development Better Life Initiative framework. Three factors emerge from the principal components analysis: general life satisfaction, affective well-being, and satisfaction with the local environment. The analysis further reveals that life satisfaction is more related to the material living conditions, such as income, unemployment, and housing conditions, while affective well-being is more related to non-material indicators of well-being such as perceived health, personal security, and social connections. On the other hand, positive and negative affect within the affective well-being are not clearly separable, nor is the eudaimonic indicator from either life satisfaction or affective well-being.

Water expenses by households living in Flanders: Data availability in the Belgian EU-SILC.

Few data sources in developed countries contain for a representative sample of households information on water expenses alongside a rich set of reliable information on individual and household characteristics. In this Data in Brief we describe the Belgian EU-SILC data, which we used for 'Measuring water affordability in developing economies. The added value of a needs-based approach' (Vanhille et al., 2018) [1]. EU-SILC can be obtained from the Belgian National Statistical Institute and is the most important representative household survey on income and living conditions in the European Union, and contains, among others, an advanced measurement of household income. It is not well-known, though, that national datasets often contain more information, making them suitable for studies that are somewhat outside the 'core scope' of EU-SILC. One example is studying the consumption of water by households, as can be done for Belgium. In this article we briefly introduce the Belgian EU-SILC and present the data on water expenses for households living in Flanders. In 2015, 50 per cent less than 23 EUR on water, while 90 per cent spent less than 45 EUR on water.

Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC.

We take advantage of the fact that for the Austrian SILC 2008-2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Furthermore, we analyze source-specific differences in the distribution of household income and how these differences affect aggregate poverty indicators based on household income. The analysis reveals an increase in the cross-sectional poverty rates for 2008-2011 and the longitudinal poverty rate if register data rather than survey data are used. These changes in the poverty rate are mainly driven by differences in employment income rather than sampling weights and other income components. Regression results show a pattern of mean-reverting errors when comparing household income between the two data sources. Furthermore, differences between data sources for both under-reporting and over-reporting slightly decrease with the number of panel waves in which a household participated. Among the other variables analyzed that are related to the interview situation (mode, proxy, interview month), only the number of proxy interviews was (weakly) positively correlated with the difference between data sources, although this outcome was not robust over different model specifications.

Effect of having private health insurance on the use of health care services: the case of Spain.

BACKGROUND: Several stakeholders have undertaken initiatives to propose solutions towards a more sustainable health system and Spain, as an example of a European country affected by austerity measures, is looking for ways to cut healthcare budgets. METHODS: The aim of this paper is to study the effect of private health insurance on health care utilization using the latest micro-data from the European Community Household Panel (ECHP), the Spanish National Health Survey (SNHS) and the European Union Statistics on Income and Living Conditions (EU-SILC). We use matching techniques based on propensity score methods: single match, four matches, bias-adjustment and allowing for heteroskedasticity. RESULTS: The results demonstrate that people with a private health insurance, use the public health system less than individuals without double health insurance coverage. CONCLUSIONS: Our conclusions are useful when policy makers design public-private partnership policies.

Future trends in the prevalence of severe activity limitations among older adults in Europe: a cross-national population study using EU-SILC.

OBJECTIVE: To project the proportion of population 65+ years with severe long-term activity limitations from 2017 to 2047. DESIGN: Large population study. SETTING: Population living in private households of the European Union (EU) and neighbouring countries. PARTICIPANTS: Participants from the EU Statistics on Income and Living Conditions aged 55 years and older and living in one of 26 EU and neighbouring countries, who answered the health section of the questionnaire. OUTCOME MEASURES: Prevalence of severe long-term activity limitations of particular subpopulations (ie, 55+, 65+, 75+ and 85+ years) by sex and country. RESULTS: We find a huge variation in the prevalence of self-reported severe long-term limitations across Europe for both sexes. However, in 2017, about 20% of the female population aged 65 years and above and about 16% of their male counterparts are expected to report severe long-term activity limitations after accounting for differences in reporting. Accounting for cultural differences in reporting, we expect that European countries will have about 21% (decile 1: 19.5%; decile 9: 22.9%) of female and about 16.8% (decile 1: 15.4%; decile 9: 18.1%) of male 65+ years population with severe long-term activity limitations by 2047. CONCLUSIONS: Overall, despite the expected increase of life expectancy in European countries, our results suggest almost constant shares of older adults with severe long-term activity limitations within the next 30 years.

Dental care coverage and income-related inequalities in foregone dental care in Europe during the great recession.

OBJECTIVES: This study examines income inequalities in foregone dental care in 23 European countries during the years with global economic crisis. Associations between dental care coverage from public health budgets or social insurance, and income-related inequalities in perceived access to dental care, are analysed. METHODS: Survey data 2008-2013 from 23 countries were combined with country data on macro-economic conditions and coverage for dental care. Foregone dental care was defined as self-reported abstentions from needed dental care because of costs or other crisis-related reasons. Age-standardized percentages reporting foregone dental care were estimated for respondents, age 20-74, in the lowest and highest income quartile. Associations between dental care coverage and income inequalities in foregone dental care, adjusted for macro-economic indicators, were examined by country-level regression models. RESULTS: In all 23 countries, respondents in the lowest income quartile reported significantly higher levels of foregone dental care than respondents in the highest quartile. During 2008-2013, income inequalities in foregone dental care widened significantly in 13 of 23 countries, but decreased in only three countries. Adjusted for countries' macro-economic situation and severity of the economic crisis, higher dental care coverage was significantly associated with smaller income inequalities in foregone dental care and less widening of these inequalities. CONCLUSIONS: Income-related inequalities in dental care have widened in Europe during the years with global economic crisis. Higher dental care coverage corresponded to less income-related inequalities in foregone dental care and less widening of these inequalities.

Health Effects of Unemployment in Europe During the Great Recession: The Impact of Unemployment Generosity.

Social and economic security could be particularly important for health among the unemployed. Nevertheless, knowledge is still lacking as to whether and how different policy contexts affect health when people move into unemployment. This article investigates whether and to what degree the unemployment generosity explains why individual health effects of unemployment vary across Europe. The 2008-2011 longitudinal panel of the European Union statistics on income and living conditions (EU-SILC) and fixed-effects models are used to estimate the individual effects of unemployment on self-rated health (SRH). Social spending on unemployment is used as a proxy for unemployment generosity. The results show that unemployment generosity is associated with reduced negative effects of unemployment on SRH. For every increase in adjusted purchasing power standard spending, the negative effect of unemployment on SRH is reduced by 0.003 (SE = 0.001) and the change in SRH is improved by 0.002 (SE = 0.001) for each year following the transition, after controlling for time-variant confounders at the individual level and unemployment rate at the macro level. The association between spending on unemployment and cross-national differences in individual health changes that occur as people enter unemployment provides a robust indication of the mitigating health effects of unemployment generosity.