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This paper investigates whether two popular poverty indicators, namely income poverty and material deprivation, reach similar conclusions about the poverty reduction effects of income transfers. Such evaluations generally use income poverty. It is well-known, however, that poverty indicators regularly disagree about a person's poverty status. What is less known is whether such disagreement also confounds estimates of a program's poverty reduction effects. This paper compares the targeting performance of social assistance, housing and family transfers in countries with different welfare states namely Germany, France, Ireland, the Netherlands, Sweden and the United Kingdom. It finds that a transfer's targeting performance does not differ much when defining the transfer's target group either as the poorest income quintile or the poorest material deprivation quintile. Yet, when combining the information from both indicators, transfers appear much more effective in reaching those groups that both poverty indicators identify as part of the target group. Transfers also appear much more efficient in excluding non-target populations. For the groups on which the poverty indicators disagree, more analysis is needed. Triangulation between poverty indicators thus improves the validity of program evaluations as it enables a better separation between (potential) poverty measurement issues and the measurement of a program's (potential) effects. [ABSTRACT FROM AUTHOR]

This paper analyses the effect of income inequality on Europeans' quality of life, specifically on their overall well-being (happiness, life satisfaction), on their financial quality of life (satisfaction with standard of living, affordability of goods and services, subjective poverty), and on their health (self-rated health, satisfaction with health). The simple bivariate correlations of inequality with overall well-being, financial quality of life, and health are negative. But this is misleading because of the confounding effect of a key omitted variable, national economic development (GDP per capita): Unequal societies are on average much poorer (r = 0.46) and so disadvantaged because of that. We analyse the multi-level European Quality of Life survey conducted in 2003 including national-level data on inequality (Gini coefficient) and economic development (GDP) and individual-level data on overall well-being, financial quality of life, and health. The individual cases are from representative samples of 28 European countries. Our variance-components multi-level models controlling for known individual-level predictors show that national per capita GDP increases subjective well-being, financial quality of life, and health. Net of that, the national level of inequality, as measured by the Gini coefficient, has no statistically significant effect, suggesting that income inequality does not reduce well-being, financial quality of life, or health in advanced societies. These result all imply that directing policies and resources towards inequality reduction is unlikely to benefit the general public in advanced societies. [ABSTRACT FROM AUTHOR]

There are few attempts to benchmark job quality in a multi-dimensional perspective across Europe. Against this background, we have created a synthetic job quality index (JQI) for the EU27 countries in an attempt to shed light on the question of how European countries compare with each other and how they are developing over time in terms of job quality. Taking account of the multi-faceted nature of job quality, the JQI is compiled on the basis of six sub-indices which cover the most important dimensions of job quality as identified in the literature. The paper addresses the methods used to construct the JQI and make it comparable over time. It presents the results for 2010 and briefly addresses changes over time to illustrate the potential and limits of a multidimensional European JQI. It also considers alternative specifications for various sub-indices and tests for the impact of changes in the indicators used on the outcomes. Overall, the findings appear to confirm the feasibility and desirability of attempting to assess job quality by means of a composite index that can be periodically updated. The key strength of this approach is the possibility to monitor and benchmark EU countries' overall job quality performances and the outcomes in six sub-dimensions of job quality and compare them with each other, across gender and over time. At the same time, the limitations of such a composite index need to be borne in mind. The most important challenges are the availability (over time), timeliness and periodicity, comparability and disaggregation of data. [ABSTRACT FROM AUTHOR]

A negative effect of unemployment on subjective well-being has been demonstrated in many studies casting substantial doubt about assumptions of decisions of individuals to choose unemployment voluntarily as the utility-maximising option. These studies have been extended to take into account national-level context factors which have been shown to moderate the relationship between unemployment and life-satisfaction. So far most studies focussed mainly on economic indicators, although demographic and cultural differences between countries also affect how unemployment is perceived. An important variable that is not included in the majority of proper multilevel studies is the extent of unemployment benefits. Traditional micro-economic approaches argue that more extensive provisions should reduce the cost of unemployment and therefore reduce the motivation to regain employment-reflected in a reduction of the negative impact of unemployment. This study investigates this claim by using European Values Study data from all European Union countries and Norway as well as harmonised macroeconomic statistics from Eurostat. It finds that the effect of unemployment on life-satisfaction is indeed moderated by economic and demographic national-level factors, but not by unemployment benefits. To what extent unemployment reduces life-satisfaction varies greatly between countries, but appears to not be influenced by the extent of state unemployment provisions. [ABSTRACT FROM AUTHOR]

Ranking of countries with respect to some welfare measure is highly popular and takes places with high frequency. Ranking of a country can change over time given the same welfare measure is applied. Rankings can also change depending on which welfare measure is applied in a given year. To what extent do we see ranking changes and which existing welfare measures best captures an unobserved, yet existing, notion of welfare in society? To investigate this we apply seven welfare indicators for fifteen EU countries covering the years from 2005 until 2011. The results indicate that rankings are particularly volatile for countries in the middle of the ranking distribution, while countries with either high or low welfare generally have lower volatility. A multidimensional poverty index has the highest correlation with the latent welfare measure. It is concluded that the observed rankings do not tell a coherent story, but often point in very different directions, although welfare indicators are often highly correlated. The change in indicator ranks is much less correlated. [ABSTRACT FROM AUTHOR]