Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02332809.html
   My bibliography  Save this paper

Are larger labor market more resilient? Evidence of the French army restructuring on exit from unemployment

Author

Listed:
  • Mathieu Sanch-Maritan

    (CREAM - Centre de Recherche en Economie Appliquée à la Mondialisation - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - IRIHS - Institut de Recherche Interdisciplinaire Homme et Société - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université)

  • Lionel Vedrine

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - INRA - Institut National de la Recherche Agronomique - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement)

Abstract
This article explore how the relation between economic shocks and local unemployment can be mitigated by labor market size. We exploit a quasi-natural experiment by studying the economic impact of 357 local shocks both negative and positive generated by the reform and the restructuring of the French army. Exploiting a geo-referenced dataset of unemployment spell over an extensive period of time (2005-2014), we are able to measure the impact of these local shock on the rate at which unemployed workers find a job. To construct a credible counterfactual for each zone which experienced a closure, we use an interactive fixed effects model. We show that contractions in military personnel reduce the local likelihood of finding a job. Moreover, our results reveal some heterogeneity in the local economy's resilience. In line with our theoretical model, we show that city size is a relevant explanation for the observed heterogeneity in resilience: the likelihood of finding a job is less affected in denser area by a relative equal-sized shift in labor demand.

Suggested Citation

  • Mathieu Sanch-Maritan & Lionel Vedrine, 2019. "Are larger labor market more resilient? Evidence of the French army restructuring on exit from unemployment," Working Papers hal-02332809, HAL.
  • Handle: RePEc:hal:wpaper:hal-02332809
    Note: View the original document on HAL open archive server: https://hal.science/hal-02332809
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02332809/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frank van Oort & Stefan de Geus & Teodora Dogaru, 2015. "Related Variety and Regional Economic Growth in a Cross-Section of European Urban Regions," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1110-1127, June.
    2. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Timothy J. Bartik, 2014. "How Effects of Local Labor Demand Shocks Vary with Local Labor Market Conditions," Upjohn Working Papers 14-202, W.E. Upjohn Institute for Employment Research.
    5. Andini, Monica & de Blasio, Guido & Duranton, Gilles & Strange, William C., 2013. "Marshallian labour market pooling: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 1008-1022.
    6. Roberta Capello & Andrea Caragliu & Ugo Fratesi, 2015. "Spatial heterogeneity in the costs of the economic crisis in Europe: are cities sources of regional resilience?," Journal of Economic Geography, Oxford University Press, vol. 15(5), pages 951-972.
    7. W. Walker Hanlon, 2017. "Temporary Shocks and Persistent Effects in Urban Economies: Evidence from British Cities after the U.S. Civil War," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 67-79, March.
    8. Steven Brakman & Harry Garretsen & Charles van Marrewijk, 2015. "Regional resilience across Europe: on urbanisation and the initial impact of the Great Recession," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(2), pages 225-240.
    9. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    10. Dario Diodato & Anet B. R. Weterings, 2015. "The resilience of regional labour markets to economic shocks: Exploring the role of interactions among firms and workers," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 723-742.
    11. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    12. Henry G. Overman & Diego Puga, 2010. "Labor Pooling as a Source of Agglomeration: An Empirical Investigation," NBER Chapters, in: Agglomeration Economics, pages 133-150, National Bureau of Economic Research, Inc.
    13. Yu Xiao, 2011. "Local Economic Impacts Of Natural Disasters," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 804-820, October.
    14. Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
    15. Gathmann, Christina & Helm, Ines & Schönberg, Uta, 2014. "Spillover Effects in Local Labor Markets: Evidence from Mass Layoffs," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100378, Verein für Socialpolitik / German Economic Association.
    16. repec:hal:spmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    17. Bada, Oualid & Liebl, Dominik, 2014. "phtt: Panel Data Analysis with Heterogeneous Time Trends in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i06).
    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. Kinateder, Harald & Wagner, Niklas, 2017. "Quantitative easing and the pricing of EMU sovereign debt," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 1-12.
    2. Givord, Pauline & Quantin, Simon & Trevien, Corentin, 2018. "A long-term evaluation of the first generation of French urban enterprise zones," Journal of Urban Economics, Elsevier, vol. 105(C), pages 149-161.
    3. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    4. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    5. Guangliang Yang & Lixing Li & Shihe Fu, 2020. "Do rural migrants benefit from labor market agglomeration economies? Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 910-931, September.
    6. Andini, Monica & de Blasio, Guido & Duranton, Gilles & Strange, William C., 2013. "Marshallian labour market pooling: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 1008-1022.
    7. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    8. Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
    9. Gergő Tóth & Zoltán Elekes & Adam Whittle & Changjun Lee & Dieter F. Kogler, 2022. "Technology Network Structure Conditions the Economic Resilience of Regions," Economic Geography, Taylor & Francis Journals, vol. 98(4), pages 355-378, August.
    10. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    11. 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.
    12. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    13. Liu, Hao, 2019. "The communication and European Regional economic growth: The interactive fixed effects approach," Economic Modelling, Elsevier, vol. 83(C), pages 299-311.
    14. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    15. Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2018. "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," ISER Discussion Paper 1019, Institute of Social and Economic Research, Osaka University.
    16. Huang, Wenxin & Jin, Sainan & Phillips, Peter C.B. & Su, Liangjun, 2021. "Nonstationary panel models with latent group structures and cross-section dependence," Journal of Econometrics, Elsevier, vol. 221(1), pages 198-222.
    17. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
    18. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    19. Bai, Jushan, 2024. "Likelihood approach to dynamic panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 240(1).
    20. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.

    More about this item

    Keywords

    Labor market shocks; Resilience; Common factor panel; Heterogeneous effects; Urban-Rural gradient 1;
    All these keywords.

    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:hal:wpaper:hal-02332809. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.