Anna Maccagnan

Gender Differences in Italian Children's Capabilities

This paper analyzes childrens well-being using the capability approach, with a special focus on gender differences. The two areas analyzed are the capability of senses, imagination, and thought; and the capability of play. Using data from the 2008 Multipurpose Survey on Daily Life released by the Italian National Institute of Statistics, a structural equation model is estimated in which the capabilities are defined as latent variables that are intrinsically interrelated. For each capability, a set of indicators of functionings is utilized and the effects of individual and social conversion factors – including parents’ unpaid work, their level of education, and employment status – are analyzed. The model is applied to Italian girls and boys ages 6–10 in 2008. The analysis confirms that the two capabilities are interrelated. Policies aimed at improving childrens achievements in education also improve the capability of play and vice versa. Differences by gender occur in the factors’ effects.

Poverty and Unemployment: The Cases of Italy and Spain

This paper sets out to detect the costs of joblessness in Italy and Spain, two countries that show major differences in labour market structure and in their reaction to the crisis. We describe the different unemployment insurance systems in the two countries and how the crisis has hit the two labour markets. A multivariate analysis is then carried out to provide an initial estimate of the possible effects of the current crisis on Spanish and Italian households’ well-being by using the European Statistics on Income and Living Conditions Surveys for Italy and Spain. Our results indicate that the unemployed experience a higher degree of income poverty and costs in terms of people’s reduced likelihood of being able to access medical or dental treatment and their being able to afford a week’s holiday in both countries. These costs also change on the basis of people’s employment status prior to unemployment.

Does Inequality Harm Democracy? An Empirical Investigation on the UK

This paper presents an empirical investigation about the effect of an increase in economic inequality on some aspects of the quality of a democracy. The main novelty of the paper lies in its methodology: it applies to a single country (instead of a pool of countries) - the UK - in a long run perspective. Using survey data, we select three questions and check whether an increase in inequality alters the answers to these questions, subject to other control variables. Another novelty is the use of several measures of inequality (rather than the usual GINI only) both for disentangling what happens in the different parts of the income distribution and for avoiding the dependence of the results on the choice of the indicator. The main finding is that a higher level of income inequality impacts negatively on citizens’ satisfaction with democracy and positively on their political participation.

A microsimulation model to measure the impact of the economic crisis on household income

Purpose - – The current economic crisis has significantly increased unemployment, showing higher persistence than expected. However, since microdata from household surveys are issued with delay, they do not allow a prompt analysis of the impact of the economic cycle on households’ living conditions. The purpose of this paper is to propose a microsimulation methodology to achieve an evaluation of the impact of economic shocks in terms of household’s living conditions to guide policy makers. Design/methodology/approach - – The microsimulation technique developed in this paper is based on a nowcasting approach by using different sources of data and by taking into account a whole set of potential transitions across the different statuses of the labour market and the related changes in income. To validate this microsimulation method, the authors apply it to Italy, a country that has been deeply affected by the crisis. Findings - – Data have been drawn from the European Statistics on Income and Living Conditions Survey for Italy (IT SILC) and from the Labour Force Survey for Italy. The latter data allow us to take into account the changes in the labour market status of individuals due to economic shocks. The validation results support the capability of the model to simulate the effect of the cycle before actual data on income are available. Social implications - – The results obtained would encourage the use of the suggested methodology to anticipate the effect of the economic cycle on household’s income therefore enabling the design of effective policies to sustain household income with positive practical and social implications. Originality/value - – Distinct from other microsimulation techniques the methodology proposed in this paper allows us to take into account behavioural effects and the change in the composition of employment and unemployment. Moreover, the authors contribute to the existing literature by considering a whole set of transitions across different labour market statuses and the related changes in income.