IDEAS home Printed from https://ideas.repec.org/p/zbw/euvwdp/409.html

Natural rate estimates differ: By how much?

Author

Listed:
  • Bethencourt, Carlos
  • Stadtmann, Georg

Abstract

We examine the natural rate of unemployment estimates of two international organizations (OECD and European Commission) and various release dates. Since estimates differ to a large extent, empirical research results which use natural rate estimates will also vary depending on the data source chosen. We highlight the extend of these effects by focusing on Spain, but also present evidence for several other EU-countries.

Suggested Citation

  • Bethencourt, Carlos & Stadtmann, Georg, 2019. "Natural rate estimates differ: By how much?," Discussion Papers 409, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
  • Handle: RePEc:zbw:euvwdp:409
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/192945/1/1049291522.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernanda Nechio, 2011. "Monetary policy when one size does not fit all," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue june13.
    2. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    3. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    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. Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
    2. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    3. Michael P. Clements, 2014. "Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets," ICMA Centre Discussion Papers in Finance icma-dp2014-06, Henley Business School, University of Reading.
    4. Monokroussos, George & Zhao, Yongchen, 2020. "Nowcasting in real time using popularity priors," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1173-1180.
    5. Givens, Gregory E. & Salemi, Michael K., 2015. "Inferring monetary policy objectives with a partially observed state," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 190-208.
    6. Kumar, Labesh, 2026. "The Output Gap: Method Choice, Data Revisions, and Policy Implications," MPRA Paper 127829, University Library of Munich, Germany.
    7. Nikolsko-Rzhevskyy, Alex & Papell, David H. & Prodan, Ruxandra, 2021. "Policy Rules and Economic Performance," Journal of Macroeconomics, Elsevier, vol. 68(C).
    8. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    9. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, Centre for Economic Policy Research.
    10. Nicolas Pinkwart, 2011. "Zur Stabilität von Saisonbereinigungsverfahren: Eine Echtzeitdaten-Analyse am Beispiel BV4.1 und X-12-ARIMA," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(2), pages 125-144, August.
    11. Han, Zhao, 2024. "Asymmetric information and misaligned inflation expectations," Journal of Monetary Economics, Elsevier, vol. 143(C).
    12. Carlo Altavilla & Matteo Ciccarelli, 2011. "Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset," CESifo Working Paper Series 3372, CESifo.
    13. Yu, Xiangrong, 2013. "Measurement error and policy evaluation in the frequency domain," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 307-329.
    14. Ralf Fendel & Michael Frenkel & Jan-Christoph Rülke, 2013. "Do professional forecasters trust in Taylor-type rules? -- Evidence from the Wall Street Journal poll," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 829-838, March.
    15. Carlos Madeira & João Madeira & Paulo Santos Monteiro, 2026. "The Origins of Monetary Policy Disagreement: The Role of Supply and Demand Shocks," The Review of Economics and Statistics, MIT Press, vol. 108(2), pages 355-371, March.
    16. Ana Beatriz Galvão & James Mitchell & Johnny Runge, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-20, Economic Statistics Centre of Excellence (ESCoE).
    17. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    18. Frédérique Bec & Kéa Baret & Marion Cochard, 2025. "Quantifying Uncertainty in France's Debt Trajectory: A VAR-Based Analysis [Quantifier l’incertitude autour de la trajectoire de la dette française : une analyse dans le cadre VAR]," Working Papers hal-05574826, HAL.
    19. Ahmad, Saad, 2016. "A multiple threshold analysis of the Fed's balancing act during the Great Moderation," Economic Modelling, Elsevier, vol. 55(C), pages 343-358.
    20. Sharon Kozicki, 2004. "¿De qué forma afectan las revisiones de datos a la evaluación y conducción de la política monetaria?," Monetaria, CEMLA, vol. 0(4), pages 369-405, octubre-d.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate

    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:zbw:euvwdp:409. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/fwffode.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.