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Social Investment And Youth Labor Market Participation

Author

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  • Giulio Ecchia
  • Francesca Gagliardi
  • Caterina Giannetti

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. (JEL C18, C54, E02)

Suggested Citation

  • Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2020. "Social Investment And Youth Labor Market Participation," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 343-358, April.
    • Handle: RePEc:bla:coecpo:v:38:y:2020:i:2:p:343-358
    DOI: 10.1111/coep.12446
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    References listed on IDEAS

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    1. Karin Heitzmann & Florian Wukovitsch, 2015. "Towards social investment and social innovation in EU member states? First observations of recent developments in Austria," ImPRovE Working Papers 15/19, Herman Deleeck Centre for Social Policy, University of Antwerp.
    2. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    3. Niall O'Higgins, 2012. "This Time It's Different? Youth Labour Markets during ‘The Great Recession’," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 54(2), pages 395-412, June.
    4. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, October.
    5. Marco Caliendo & Ricarda Schmidl, 2016. "Youth unemployment and active labor market policies in Europe," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-30, December.
    6. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2018. "Causal relations between knowledge-intensive business services and regional employment growth," Regional Studies, Taylor & Francis Journals, vol. 52(2), pages 172-183, February.
    7. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2011. "Subnational indicators of poverty and deprivation in Europe: methodology and applications," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 5(1), pages 129-147.
    8. David A. Bessler & Seongpyo Lee, 2002. "Money and prices: U.S. Data 1869-1914 (A study with directed graphs)," Empirical Economics, Springer, vol. 27(3), pages 427-446.
    9. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    10. Francesco Pastore, 2018. "Why is youth unemployment so high and different across countries?," IZA World of Labor, Institute of Labor Economics (IZA), pages 420-420, January.
    11. Tingyun Chen & Jean-Jacques Hallaert & Alexander Pitt & Haonan Qu & Maximilien Queyranne & Alaina Rhee & Anna Shabunina & Jérôme Vandenbussche & Irene Yackovlev, 2018. "Inequality and Poverty across Generations in the European Union," IMF Staff Discussion Notes 18/01, International Monetary Fund.
    12. Tingyun Chen & Mr. Jean-Jacques Hallaert & Mr. Alexander Pitt & Mr. Haonan Qu & Mr. Maximilien Queyranne & Ms. Alaina P Rhee & Ms. Anna Shabunina & Mr. Jerome Vandenbussche & Irene Yackovlev, 2018. "Inequality and Poverty across Generations in the European Union," IMF Staff Discussion Notes 2018/001, International Monetary Fund.
    13. Iva TOMIĆ, 2018. "What drives youth unemployment in Europe? Economic vs non‐economic determinants," International Labour Review, International Labour Organization, vol. 157(3), pages 379-408, September.
    14. Giovanni S F Bruno & Enrico Marelli & Marcello Signorelli, 2014. "The Rise of NEET and Youth Unemployment in EU Regions after the Crisis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 56(4), pages 592-615, December.
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    More about this item

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy

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