The Impact of Job Stability on Monetary Poverty in Italy: Causal Small Area Estimation
收藏DataCite Commons2026-02-17 更新2026-05-03 收录
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Job stability—encompassing secure contracts, adequate wages, social benefits, and career opportunities—is a critical determinant in reducing monetary poverty, as it provides households with reliable income and enhances economic well-being. This study draws on EU-SILC survey and census data to estimate the causal effect of job stability on monetary poverty across Italian provinces, quantifying its influence, and analyzing regional disparities. We introduce a novel causal small area estimation (CSAE) framework that integrates global and local estimation strategies for heterogeneous treatment effect estimation, effectively addressing data sparsity at the provincial level. Furthermore, we develop a general bootstrap scheme to construct reliable confidence intervals, applicable regardless of the method used for estimating nuisance parameters. Extensive simulation studies demonstrate that our proposed estimators outperform classical causal inference methods in terms of stability while maintaining computational scalability for large datasets. Applying this methodology to real-world data, we uncover significant relationships between job stability and poverty in six Italian regions, offering critical insights into regional disparities and their implications for evidence-based policy design. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
提供机构:
Taylor & Francis
创建时间:
2025-12-10



