IDEAS home Printed from https://ideas.repec.org/p/inq/inqwps/ecineq2022-603.html
   My bibliography  Save this paper

Unemployment Shocks and Material Deprivation in the European Union: A Synthetic Control Approach

Author

Listed:
  • Luis Ayala

    (UNED)

  • Javier Martín-Román

    (UNED)

  • Carolina Navarro

    (UNED)

Abstract

This paper analyzes how material deprivation responds to drastic changes in unemployment levels. We explore unemployment shocks registered in some European Union countries during the so-called Great Recession. To do so, we apply the synthetic control methodology, which has been rarely used in the field of distributive analyses. We use this approach to identify the impact of unemployment shocks on material deprivation and conduct different sensitivity analyses to test the results. We find that contrary to the traditional assumption of the low sensitivity of material deprivation measures to changes in the economic cycle, unemployment shocks have a significant and rapid impact on material deprivation. This conclusion holds even when extending the period of analysis, changing the indicator of material deprivation, or modifying the definition of unemployment shock.

Suggested Citation

  • Luis Ayala & Javier Martín-Román & Carolina Navarro, 2022. "Unemployment Shocks and Material Deprivation in the European Union: A Synthetic Control Approach," Working Papers 603, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2022-603
    as

    Download full text from publisher

    File URL: http://www.ecineq.org/milano/WP/ECINEQ2022-603.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    2. Christelis, Dimitris & Georgarakos, Dimitris & Jappelli, Tullio, 2015. "Wealth shocks, unemployment shocks and consumption in the wake of the Great Recession," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 21-41.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    4. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    5. Rolf Aaberge & Tom Wennemo & Anders Bjorklund & Markus Jantti & Peder J. Pedersen & Nina Smith, 2000. "Unemployment Shocks and Income Distribution: How did the Nordic Countries Fare during their Crises?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 102(1), pages 77-99, March.
    6. Cantó, Olga & García-Pérez, Carmelo & Romaguera-de-la-Cruz, Marina, 2020. "The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach," Economic Systems, Elsevier, vol. 44(3).
    7. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    8. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    9. Dibooglu, Selahattin & Enders, Walter, 2001. "Do Real Wages Respond Asymmetrically to Unemployment Shocks? Evidence from the U.S. and Canada," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 495-515, October.
    10. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    11. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, December.
    12. Bradley Heim & Ithai Lurie, 2014. "Does health reform affect self-employment? Evidence from Massachusetts," Small Business Economics, Springer, vol. 43(4), pages 917-930, December.
    13. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    14. Burda, Michael C. & Hamermesh, Daniel S., 2010. "Unemployment, market work and household production," Economics Letters, Elsevier, vol. 107(2), pages 131-133, May.
    15. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    16. Mark Visser & Maurice Gesthuizen & Peer Scheepers, 2014. "The Impact of Macro-Economic Circumstances and Social Protection Expenditure on Economic Deprivation in 25 European Countries, 2007–2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(3), pages 1179-1203, February.
    17. Bruce D. Meyer & James X. Sullivan, 2011. "Consumption and Income Poverty Over the Business Cycle," Research in Labor Economics, in: Who Loses in the Downturn? Economic Crisis, Employment and Income Distribution, pages 51-82, Emerald Group Publishing Limited.
    18. David M. Cutler & Lawrence F. Katz, 1991. "Macroeconomic Performance and the Disadvantaged," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 1-74.
    19. repec:eme:rlec11:s0147-9121(2011)0000032005 is not listed on IDEAS
    20. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    21. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    22. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    23. Indranil Dutta & Prasanta K. Pattanaik & Yongsheng Xu, 2003. "On Measuring Deprivation and the Standard of Living in a Multidimensional Framework on the Basis of Aggregate Data," Economica, London School of Economics and Political Science, vol. 70(278), pages 197-221, May.
    24. Pim Verbunt & Anne-Catherine Guio, 2019. "Explaining Differences Within and Between Countries in the Risk of Income Poverty and Severe Material Deprivation: Comparing Single and Multilevel Analyses," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 827-868, July.
    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. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    2. Tomasz Serwach, 2023. "The European Union and within‐country income inequalities. The case of the new member states," The World Economy, Wiley Blackwell, vol. 46(7), pages 1890-1939, July.
    3. Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
    4. Pier Basaglia & Sophie Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: How Tax Salience and Fuel Substitution Mediate Climate and Health Benefits," Discussion Papers of DIW Berlin 2041, DIW Berlin, German Institute for Economic Research.
    5. Pier Basaglia & Sophie M. Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: Causal Effects of Fuel Taxation and Mediating Mechanisms for Reducing Climate and Pollution Costs," CESifo Working Paper Series 10508, CESifo.
    6. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    7. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    8. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    9. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    10. Kuosmanen, Timo & Zhou, Xun & Eskelinen, Juha & Malo, Pekka, 2021. "Design Flaw of the Synthetic Control Method," MPRA Paper 106328, University Library of Munich, Germany.
    11. Debdeep Chattopadhyay, 2023. "Did the Massachusetts Health Reform Program increase self-employment?," Empirical Economics, Springer, vol. 65(3), pages 1309-1344, September.
    12. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    13. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy [Using synthetic controls: Feasibility, data requirements, and methodological aspects]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    14. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    15. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    16. Klößner, Stefan & Pfeifer, Gregor, 2015. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113207, Verein für Socialpolitik / German Economic Association.
    17. Keller, Michael, 2022. "Oil revenues vs domestic taxation: Deeper insights into the crowding-out effect," Resources Policy, Elsevier, vol. 76(C).
    18. Grier, Kevin & Mahmood, Towhid & Powell, Benjamin, 2023. "Anti-sweatshop activism and the safety-employment tradeoff: Evidence from Bangladesh's Rana Plaza disaster," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 174-190.
    19. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    20. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.

    More about this item

    Keywords

    material deprivation; unemployment shocks; synthetic control method; EUSILC;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:inq:inqwps:ecineq2022-603. 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: Maria Ana Lugo (email available below). General contact details of provider: https://edirc.repec.org/data/ecineea.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.