Italy – Research services – New methodologies to assess inequality

Support for measuring regional, urban vs rural, neighborhood segregation, human capital, health, digital, energy, environmental, transport, time poverty, and subjective well-being inequalities using multidimensional indices, distribution-sensitive indicators, life-cycle measures, and integration of micro and administrative data.

Support for modelling inequality bridging micro heterogeneity and macro dynamics, including variable data coverage, missing values, measurement errors, differing data frequencies, robust imputation, harmonization methods, and advanced estimation techniques (pseudovariables models, distributional VARs, nonlinear econometric models, quantile regressions, mixed-effects models, Bayesian nonparametric modelling).

Support for generating novel insights on household finances and financial behaviour, key drivers of wealth accumulation and inequality, using emerging data sources, analysis of savings and borrowing decisions.