IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v38y2020i2p343-358.html
   My bibliography  Save this article

Social Investment And Youth Labor Market Participation

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/coep.12446
    Download Restriction: no
    File URL: https://libkey.io/10.1111/coep.12446?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2018. "Social Investment and youth labour market participation: a EU regional analysis," Discussion Papers 2018/236, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    2. Tommaso Ciarli & Alex Coad & Alessio Moneta, 2019. "Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR," LEM Papers Series 2019/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).
    4. 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.
    5. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023. "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series 2023/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Guerini, Mattia & Moneta, Alessio & Napoletano, Mauro & Roventini, Andrea, 2020. "The Janus-Faced Nature Of Debt: Results From A Data-Driven Cointegrated Svar Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 24-54, January.
    8. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    9. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    10. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.
    11. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    12. Bernoth, Kerstin & Herwartz, Helmut, 2021. "Exchange rates, foreign currency exposure and sovereign risk," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 117, pages 1-1.
    13. Berner, Anne & Bruns, Stephan & Moneta, Alessio & Stern, David I., 2022. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," Energy Economics, Elsevier, vol. 110(C).
    14. Brandts, Jordi & El Baroudi, Sabrine & Huber, Stefanie J. & Rott, Christina, 2021. "Gender differences in private and public goal setting," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 222-247.
    15. Mr. Jose L. Torres, 2020. "Youth Unemployment in Uruguay," IMF Working Papers 2020/281, International Monetary Fund.
    16. Drautzburg, Thorsten & Wright, Jonathan H., 2023. "Refining set-identification in VARs through independence," Journal of Econometrics, Elsevier, vol. 235(2), pages 1827-1847.
    17. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    18. Ondřej Dvouletý & Martin Lukeš & Mihaela Vancea, 2020. "Individual-level and family background determinants of young adults’ unemployment in Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 389-409, May.
    19. Giovanni Luca & Paolo Mazzocchi & Claudio Quintano & Antonella Rocca, 2020. "Going Behind the High Rates of NEETs in Italy and Spain: The Role of Early School Leavers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 345-363, August.
    20. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:coecpo:v:38:y:2020:i:2:p:343-358. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.