Do you need less money in retirement?

The literature has documented a one-off drop in consumption at retirement in Italy. We show that respondents\u2019 subjective evaluation of the minimum amount of money needed \u201cto live comfortably but not in luxury\u201d drops at retirement as well. This finding supports the idea that, even if expenditure falls at retirement, this may have the same effect on money needed, hence no effect on the marginal utility of consumption

Multidimensional poverty across Europe

Income poverty is commonly encountered in developing and developed countries alike, but in the latter case the incidence rate is lower. Beyond income, the health dimension is recalling the attention of a wide number of studies about poverty. A disjoint analysis of the two components could potentially lead to misleading results, especially in developed countries (Madden, 2008). In this framework Sen’s Capability Approach emerged as the leading alternative to standard economic analysis of poverty and human development generally, arguing that poverty is not just low level of consumption or income, but it is a broader concept related to the inability of reaching an acceptable standard in several dimensions, e.g. health. This paper presents poverty according to the multidimensional approach. The correlation between these two dimensions of poverty is examined using the Receiver Operating Characteristics curve (ROC). We are interested in comparing the dynamic of multidimensional poverty across European countries for elderly people, therefore we use data from the Survey of Health, Ageing and Retirement in Europe (SHARE) for the years 2004-2006

Inequality in Italy: an approach based on Shapley value decomposition

The aim of this paper is to analyse inequality in Italy between 1997 and 2004. We decompose the Gini index of inequality using the Shapley value decomposition (Shapley, 1953; Shorrocks, 1982) in order to rank the contribution of different socio - economic variables to income inequality among individuals and time. Shapley's value decomposition is a regression based technique that allows to consider different explanatory factors, both economics and demographics. We used data from the Italian Household Budget Survey (ISTAT) in the period 1997 - 2004, previously treated in order to group individuals in cohorts with the aim to understand the dynamic of different factors contribution to inequality, using a Pseudo - Panel approach

Inequality in Italy: an approach based on the Shapley valuedecomposition

The aim of this paper is to analyse inequality in Italy between 1997 and 2004. We decompose the Gini index of inequality using the Shapley value decomposition (Shapley, 1953; Shorrocks, 1982) in order to rank the contribution of different socio - economic variables to income inequality among individuals and time. Shapley's value decomposition is a regression based echnique that allows to consider different explanatory factors, both economics and demographics. We used data from the Italian Household Budget Survey (ISTAT) in the period 1997 - 2004, previously treated in order to group individuals in cohorts with the aim to understand the dynamic of different factors contribution to inequality, using a Pseudo - Panel approach

Early retirement and cognitive decline. A longitudinal analysis on SHARE data.

We use a new measure of cognitive decline that is highly predictive of the onset of dementia and can be computed in standard surveys where recall memory tests are administered to the same individuals over the years. Using SHARE data, we investigate the association between cognitive decline and years in retirement controlling for age, physical health, early life conditions and socio-economic status. We find a positive association and an even stronger causal effect. The evidence we produce confirms the ’mental retirement’ hypothesis and suggests its relevance for the onset of dementia

Further Evidence on the Effect of Clean Indoor Air Laws on Smoking: The Italian Case

The evidence about the effectiveness of anti-smoking legislation on smoking behavior is mixed. We provide new estimates for Italy using unexplored data drawn from the Household Budget Survey. We show that the smoking ban introduced in 2005 has a significant effect on smoking incidence. According to our baseline specification, the ban reduces household-based smoking prevalence by 1.3 percentage points. Results are robust to the various empirical strategies proposed in the literature, even accounting for seasonality