In this paper, we first rely on small area techniques to derive from EU statistics on income and living conditions (EU‐SILC) survey new indicators of compensatory and social‐investment policies at regional level. While compensatory policies have mainly the goal of protecting individuals from “old” risks (e.g., old‐age), investment‐related social policies tend to focus more on “new social risks” (e.g., skill deficits). We rely on these new indicators to perform a data‐driven structural vector autoregressive (SVAR) analysis to investigate the causal relationships between youth labor market outcomes and these two types of spending. Our results support the view that social‐investment policies are effective for tackling new social challenges.

Social Investment and Youth Labour Market Participation

GIULIO ECCHIA;
2020

Abstract

In this paper, we first rely on small area techniques to derive from EU statistics on income and living conditions (EU‐SILC) survey new indicators of compensatory and social‐investment policies at regional level. While compensatory policies have mainly the goal of protecting individuals from “old” risks (e.g., old‐age), investment‐related social policies tend to focus more on “new social risks” (e.g., skill deficits). We rely on these new indicators to perform a data‐driven structural vector autoregressive (SVAR) analysis to investigate the causal relationships between youth labor market outcomes and these two types of spending. Our results support the view that social‐investment policies are effective for tackling new social challenges.
2020
GIULIO ECCHIA; FRANCESCA GAGLIARDI; CATERINA GIANNETTI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/743211
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