The poor outside the lamplight: on the prevalence of poverty among population groups not included in household surveys

Poverty rate calculations are often based on household surveys that exclude some of the groups most vulnerable to poverty such as the homeless. This paper documents the nature of the excluded groups and the quantitative importance of their omission for the Czech Republic. Our study combines European Union Statistics on Income and Living Conditions data for 2011 with information from the 2011 Population Census. Our preferred estimate indicates an increase in the poverty rate by almost one percentage point. The paper contributes to accurately identifying the most vulnerable members of the society, which is essential for setting effective social policies.     

Preferences for redistribution and exposure to tax-benefit schemes in Europe

This paper provides evidence that attitudes towards redistribution are associated with the extent of generosity of the redistributive context experienced by the individual, as measured by the likelihood of receiving positive benefit transfers net of fiscal contribution. We estimate reduced form tax-benefit equations with the EU Statistics on Income and Living Conditions (EU-SILC), and match the implied parameters to the respondents of the European Social Survey (ESS) on the basis of their characteristics. The period of analysis is 2008–2016. For identification, we exploit exogenous cross-country and time variation in tax rules and market income to disentangle implications of exposure to tax-benefit rules on preferences for redistribution from the effects of changes in income inequality. We find that exposure to positive net benefits increases support for redistribution by 1.4%–3% on baseline models, the effect being robust across a variety of specifications.     

Deprivation of Women and Men Living in a Couple: Sharing or Unequal Division?

In standard poverty analyses, all household members are assumed to share equal living conditions. Though a few national studies exist, this paper is the first to present empirical evidence on this issue for the EU, using the 2015 wave of the EU Statistics on Income and Living Conditions. We map the extent of intra-couple inequality in deprivation, and analyze its determinants. We find that for most items, the gender difference in lack between partners, though generally small, is significant and at the disadvantage of women. When aggregating the individual items into a deprivation scale, couples where the number of enforced lacks is higher for the woman (9.2 percent) are (significantly) more numerous than couples where the man is disadvantaged (6.5 percent), at the EU level. Econometric analysis shows that the work status of the partners and their relative contribution to the joint income are important determinants of the intra-couple gender deprivation gap.     

Measuring Economic Insecurity Using a Counting Approach. An Application to Three EU Countries

In this paper, we propose the use of a multidimensional approach to the measurement of economic insecurity in three European countries. We combine six different unidimensional indicators proxying the subjective and objective determinants of economic insecurity into a single index based on a counting approach method, which allows us to measure the incidence and the intensity of the phenomenon. Using longitudinal data from the European Union Statistics on Income and Living Conditions (EU-SILC) from 2008 to 2016, we find that the incidence of insecurity falls as income grows, being significantly present in middle-income households both in Spain and France but not in Sweden. Interestingly, in all three countries, the contribution of different dimensions to insecurity changes as household income grows, while for all income levels a higher education and being employed in a non-fixed term contract are strongly related to a lower probability of being economically insecure.     

The probability of multidimensional poverty: A new approach and an empirical application to EU-SILC data

This paper proposes a novel method to analyze multidimensional poverty by using a large set of feasible weights to summarize the information about the poor, which enables remaining agnostic about the relative importance given to different poverty dimensions. This method allows for the calculation of the individual probability of being poor in a multidimensional perspective. The distribution of individual probabilities can then be combined with Generalized Lorenz dominance techniques to derive unanimous consent for a wide class of social welfare functions with a minimum load of value judgments. The innovations proposed here allow to move from a dual definition of poverty, where poor and non-poor individuals are classified in a mutually exclusive context, to a continuous measure of deprivation capturing both the extensive and intensive margin of multidimensional poverty. The empirical application of the method consists of measuring multidimensional poverty in ten selected countries using four waves of EU-SILC data (2008–2014).