New methodologies to assess inequality

Original TED description

In Lot 1 JRC will require support for measuring the following aspects of inequality: regional and urban vs. rural inequality; neighborhood segregation; human capital, health and digital inequality, energy and environmental disparities, transport access, time poverty, and subjective well-being. Measurement approaches will need to incorporate multidimensional indices, distribution-sensitive indicators, life-cycle measures, and the integration of micro and administrative data to capture new dimensions of inequalities.

Original TED description

In Lot 2 JRC will ask for support on modelling inequality bridging micro heterogeneity and macro dynamics to reflect how shocks propagate unevenly. Support will be requested for variable data coverage, missing values, measurement errors, and differing data frequencies, requiring support for robust imputation and harmonization methods. Support on advanced estimation techniques applied to inequality will be also required for one or more of the following: pseudovariables models, distributional VARs, nonlinear econometric models, quantile regressions, mixed-effects models, and Bayesian nonparametric modelling, all capturing inequality.

Original TED description

In Lot 3 JRC is looking for support to generate novel insights on household finances and household financial behaviour, key drivers of wealth accumulation and inequality using the emerging data sources mentioned above. The support will also be requested for analysis of savings and borrowing decisions shaping financial markets and economic outcomes.