Description:

Evaluation of the effectiveness of public policies on poverty, inequality, education and health, including for the purpose of promoting greater economic and social inclusion; development of counterfactual techniques, mediation analysis, non-experimental micro-econometric estimation techniques, microeconomic simulation techniques; micro-economic aspects of public intervention in health policy; ex-post evaluation of tax benefits aimed at quantifying the causal effects on the dynamics of labour productivity and wages of Italian companies; methods for estimating intra-family inequalities and individual poverty; analysis of social welfare and welfare state typologies; Comparative study for EU countries of changes in employment protection schemes on total factor productivity and functional income distribution; large-scale assessment of students' skills and learning analytics; statistical methods for the measurement of complex socio-economic phenomena - e.g. poverty, educational poverty, disability, family welfare, refugee vulnerability, corruption in public bodies; student skills for detailed mapping of these phenomena at local level and profiling of statistical units; legal and organisational profiles regarding the use of machine learning, big data analytics, algorithmic rationality as a tool for the preparation, implementation and analysis of public policies.

Scientific domains (SSD)
IUS/10; SECS-P/01; SECS-P/02; SECS-P/03; SECS-S/01; SECS-S/05
ERC Sectors
LS7; PE1_14; PE6; SH1_3; SH1_5; SH1_6; SH1_9; SH1_12; SH3_1; SH2_11; SH3;
SH3_2; SH3_7; SH3_8; SH3_11; SH4;