A5050936069- Italy: Economic History and Contemporary Issues
- Complex Systems and Time Series Analysis
- Advanced Causal Inference Techniques
- Monetary Policy and Economic Impact
- Employment and Welfare Studies
- Health disparities and outcomes
- Economic Theory and Policy
- Migration and Labor Dynamics
- Labor market dynamics and wage inequality
- Urban, Neighborhood, and Segregation Studies
- Financial Literacy, Pension, Retirement Analysis
- Banking stability, regulation, efficiency
- Poverty, Education, and Child Welfare
- Firm Innovation and Growth
- Housing, Finance, and Neoliberalism
- Intergenerational and Educational Inequality Studies
Bank of Italy
2022-2025
The availability of multidimensional indicators on household economic resources is an indispensable policy tool for the fight against poverty and inequality. In this article, we describe efforts done by Istat Bank Italy to integrate through statistical matching techniques data “EU Statistics Income Living Conditions - EU-SILC” “Household Budget Survey HBS”, “Survey Household Wealth SHIW”. final objective consists in producing microdata that serve as basis studying relationship between...
We provide an analysis of the financial fragilities Italian households in 2000–2020 period, using data from Survey on Household Income and Wealth. comment recent trends ill‐being, different poverty measures, we a descriptive fragile households' characteristics. Then, model persistence dynamics statuses specifications dynamic random‐effects probit to account for observed latent individual heterogeneity endogeneity initial conditions. A strong state dependence is found all considered statuses,...
We provide an analysis of the financial fragilities Italian households in 2000-2020 period, using data from Bank Italy's Survey on Household Income and Wealth. comment recent trends ill-being, different poverty measures, we a descriptive fragile households' characteristics. then model persistence dynamics statuses specifications dynamic random-effects probit to account for observed latent individual heterogeneity endogeneity initial conditions. A strong state dependence is found all...
To assess the effectiveness of remittances on poverty level recipient households, we propose a causal inference approach that may be applied with longitudinal data and time-varying treatments. The method relies integration propensity score based technique, inverse weighting, general latent Markov (LM) framework. It is particularly useful when outcome interest characteristic not directly observable, analysis focused on: (i) clustering units in finite number classes according to this (ii)...
We study the extent of persistence in unemployment and low-pay employment Italy period 2014-2017, using Italian component EU-SILC survey merged with administrative data. model different dynamic random-effects models accounting for observed latent individual heterogeneity as well endogeneity initial conditions. find evidence true state dependence place both employment. Moreover, past spells increase probability being low-paid, conditional on employed, while opposite effect is limited. For...
Abstract We propose a multivariate approach for the estimation of intergenerational transition matrices. Our methodology is grounded on assumption that individuals’ social status unobservable and must be estimated. In this framework, parents offspring are clustered basis observed levels income occupational categories, thus avoiding any discretionary rule in definition class boundaries. The resulting matrix function posterior probabilities young adults belonging to each class. Estimation...