Italy

End‐of‐life decision‐making and advance care directives in Italy. A report and moral appraisal of recent legal provisions.

The present article reviews the state of public debate and legal provisions concerning end‐of‐life decision‐making in Italy and offers an evaluation of the moral and legal issues involved. The article further examines the content of a recent law concerning informed consent and advance treatment directives, the main court pronouncements that formed the basis for the law, and developments in the public debate and important jurisprudential acts subsequent to its approval.

A stochastic estimated version of the Italian dynamic General Equilibrium Model (IGEM)

We estimate with Bayesian techniques the Italian dynamic General Equilibrium Model (IGEM), which has been developed at the Italian Treasury Department, Ministry of Economy and Finance, to assess the effects of alter-native policy interventions. We analyze and discuss the estimated effects of various shocks on the Italian economy. Compared to the calibrated version used for policy analysis, we find a lower wage rigidity and higher adjustment costs. The degree of prices and wages indexation to past inflation is much smaller than the indexation level assumed in the calibrated model.

The growth and variability of regional taxes: an application to Italy

The growth and variability of regional taxes: an application to Italy. Regional Studies. This paper investigates the potential
long-term growth and short-term cyclical stability of the Italian regional tax system. Short- and long-run elasticities with
respect to regional gross domestic product (GDP) are estimated between 2001 and 2012 for the surtax on central
personal income tax (RPIT) and for the regional tax on productive activities (RTPA). Cyclical reactions are more marked

Italy. Para-subordinate workers and their social protection

This chapter focuses on para-subordinate workers in Italy, i.e. individuals who are legally self-employed but who are often “economically dependent” on a single employer.
The chapter first presents the welfare provisions that para-subordinate workers are entitled to receive, pointing out that the disadvantages facing para-subordinate workers
relative to employees have been recently reduced. Afterwards, making use of the most suitable available longitudinal data, statistics about the evolution over time of the number

From the cradle to the grave. The influence of family background on the career path of Italian men

Using a longitudinal data set that contains detailed information on working histories of
Italian men,we investigate the relationship between parental background and sons’earnings
profiles.We find that the parental influence on sons’ earnings persists over the career and
that the direct influence controlling for sons’ education is large and grows during the
working career. After twenty years of experience, our baseline specification indicates that
an additional year of parental education is associated with a 2.0% increase in sons’wages,

Earnings inequality and workers’ skills in Italy

The increasing trend of earnings inequality observed in many countries is usually ascribed to a higher premium to skills, commonly proxied by education. Focusing on Italy, a country characterized by a steep rise in earnings inequality since the ‘90 s, we aim at verifying whether this trend is attributable to education. Making use of administrative data about private employees, we carry out Theil decompositions and estimate wage equations to investigate how much of this trend is linked with education and other observable worker's and firm's characteristics.

Intergenerational earnings persistence in Italy between actual father–son pairs accounting for lifecycle and attenuation bias

Using a longitudinal dataset built merging administrative and survey data, we contribute to the literature on intergenerational inequality providing the first estimate of the intergenerational earnings elasticity (IGE) in Italy based on actual father–son pairs, taking into account issues related to measurement biases and comparing the size of the lifecycle bias when sons are selected by age or by potential experience (i.e. the number of years since the end of their studies). Our findings confirm that Italy is a low-mobility country.

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