[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v7y2020i4p89-100.html
   My bibliography  Save this article

Have Macron’s Recent Labour Reforms Been as Impactful as Past German Reforms?

Author

Listed:
  • Colin Ellis
Abstract
Structural reforms can sometimes take many years for the effects to be visible in economic data- but one area where impacts can manifest more swiftly is the labour market. In particular, Germany’s experience in the mid-2000s is often cited as a clear example of how macroeconomic dynamics can shift relatively swiftly if the reforms are effective. More recently, France has seen a number of structural reforms, driven by President Macron’s desire to revitalize the French economy after his 2016 election. This paper examines the macroeconomic impact of recent French labour market reforms, comparing and contrasting this impact against the German experience in the 2000s. If idiosyncratic policy changes were a significant driver of labour market dynamics, then empirical outcomes should be different for those countries experiencing policy changes, relative to their peers. Using a variety of different statistical techniques, we find that – while there is clear evidence of the German labour market outperforming its peers when the Hartz reforms were enacted – there is no sign of the French labour market doing so under Macron’s presidency.

Suggested Citation

  • Colin Ellis, 2020. "Have Macron’s Recent Labour Reforms Been as Impactful as Past German Reforms?," Applied Economics and Finance, Redfame publishing, vol. 7(4), pages 89-100, July.
  • Handle: RePEc:rfa:aefjnl:v:7:y:2020:i:4:p:89-100
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/aef/article/download/4909/5070
    Download Restriction: no

    File URL: http://redfame.com/journal/index.php/aef/article/view/4909
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sebastian Barnes & Romain Bouis & Philippe Briard & Sean Dougherty & Mehmet Eris, 2013. "The GDP Impact of Reform: A Simple Simulation Framework," OECD Economics Department Working Papers 834, OECD Publishing.
    2. 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.
    3. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    4. Jennifer V Greenslade & Richard G Pierse & Jumana Saleheen, 2003. "A Kalman filter approach to estimating the UK NAIRU," Bank of England working papers 179, Bank of England.
    5. Colin Ellis & Haroon Mumtaz & Pawel Zabczyk, 2014. "What Lies Beneath? A Time‐varying FAVAR Model for the UK Transmission Mechanism," Economic Journal, Royal Economic Society, vol. 0(576), pages 668-699, May.
    6. Hervé Boulhol & Alain de Serres & Margit Molnár, 2008. "The contribution of economic geography to GDP per capita," OECD Journal: Economic Studies, OECD Publishing, vol. 2008(1), pages 1-37.
    7. World Bank, 2019. "Finance for Growth," World Bank Publications - Reports 33563, The World Bank Group.
    8. Romain Bouis & Romain Duval, 2011. "Raising Potential Growth After the Crisis: A Quantitative Assessment of the Potential Gains from Various Structural Reforms in the OECD Area and Beyond," OECD Economics Department Working Papers 835, OECD Publishing.
    9. Nombulelo Gumata & Eliphas Ndou, 2019. "Accelerated Land Reform, Mining, Growth, Unemployment and Inequality in South Africa," Springer Books, Springer, number 978-3-030-30884-1, January.
    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. Aikman, David & Bush, Oliver & Davis, Alan, 2016. "Monetary versus macroprudential policies causal impacts of interest rates and credit controls in the era of the UK Radcliffe Report," Bank of England working papers 610, Bank of England.
    2. Miss Anna R Bordon & Mr. Christian H Ebeke & Ms. Kazuko Shirono, 2016. "When Do Structural Reforms Work? On the Role of the Business Cycle and Macroeconomic Policies," IMF Working Papers 2016/062, International Monetary Fund.
    3. Ana Gouveia & Sílvia Santos & Inês Gonçalves, 2017. "The short-term impact of structural reforms on productivity growth: beyond direct effects," GEE Papers 0065, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Feb 2017.
    4. Ms. Lusine Lusinyan, 2018. "Assessing the Impact of Structural Reforms Through a Supply-side Framework: The Case of Argentina," IMF Working Papers 2018/183, International Monetary Fund.
    5. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2016. "Monetary policy transmission in an open economy:new data and evidence from the United Kingdom," LSE Research Online Documents on Economics 86235, London School of Economics and Political Science, LSE Library.
    6. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    7. Anastasios Evgenidis & Costas Siriopoulos, 2015. "What are the International Channels Through Which a US Policy Shock is Transmitted to The World Economies? Evidence from a Time Varying FAVAR," Working Papers 190, Bank of Greece.
    8. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2020. "The Effectiveness Of Monetary Policy In South Africa Under Inflation Targeting: Evidence from a Time-Varying Factor-Augmented Vector Autoregressive Model," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(4), pages 55-73, October-D.
    9. Ansgar Belke & Thomas Osowski, 2019. "International Effects Of Euro Area Versus U.S. Policy Uncertainty: A Favar Approach," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 453-481, January.
    10. Sebastian Barnes & Romain Bouis & Philippe Briard & Sean Dougherty & Mehmet Eris, 2013. "The GDP Impact of Reform: A Simple Simulation Framework," OECD Economics Department Working Papers 834, OECD Publishing.
    11. Evans, Jocelyn D. & Robertson, Mari L., 2018. "The effects of the Fed’s monetary tightening campaign on nonbank mortgage lending," Economics Letters, Elsevier, vol. 171(C), pages 164-168.
    12. Robert P. Hagemann, 2012. "Fiscal Consolidation: Part 6. What Are the Best Policy Instruments for Fiscal Consolidation?," OECD Economics Department Working Papers 937, OECD Publishing.
    13. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    14. Colin Ellis & Haroon Mumtaz & Pawel Zabczyk, 2014. "What Lies Beneath? A Time‐varying FAVAR Model for the UK Transmission Mechanism," Economic Journal, Royal Economic Society, vol. 0(576), pages 668-699, May.
    15. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    16. Ms. Lusine Lusinyan & Mr. Dirk V Muir, 2013. "Assessing the Macroeconomic Impact of Structural Reforms The Case of Italy," IMF Working Papers 2013/022, International Monetary Fund.
    17. Ana Gouveia & Sílvia Santos & Gustavo Monteiro, 2017. "Short-run effects of product markets’ deregulation: a more productive, more efficient and more resilient economy?," GEE Papers 0069, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Mar 2017.
    18. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
    19. Borzykh, Olga, 2016. "Bank lending channel in Russia: A TVP-FAVAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 96-117.
    20. Juan S. Holguín & Jorge M. Uribe, 2020. "The credit supply channel of monetary policy: evidence from a FAVAR model with sign restrictions," Empirical Economics, Springer, vol. 59(5), pages 2443-2472, November.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:rfa:aefjnl:v:7:y:2020:i:4:p:89-100. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.