IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v32y2000i6p705-715.html
   My bibliography  Save this article

Threshold nonlinearities in unemployment rates: further evidence for the UK and G3 economies

Author

Listed:
  • D. A. Peel
  • A. E. H. Speight

Abstract

The paper appraises the in-sample and out-of-sample adequacy of linear AR and nonlinear SETAR models of unemployment rates for Germany, Japan, the UK and the US. Tests are reported for the presence and specification of threshold nonlinearities, SETAR model estimates, limiting dynamic properties and residual diagnostics, and out-of-sample forecasting performance. In-sample, threshold non-linearities are confirmed to be strongly present for the UK, US and Germany, and more marginally so for Japan. Out-of-sample, excepting Japan, SETAR models provide superior onestep-ahead forecast on RMSE grounds, most notably for the US. Final tests indicate that these models exhibit predictive accuracy in the sense of parameter and residual variance stability, implying the potential for exploitation of such nonlinearity in official forecasting.

Suggested Citation

  • D. A. Peel & A. E. H. Speight, 2000. "Threshold nonlinearities in unemployment rates: further evidence for the UK and G3 economies," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 705-715.
    • Handle: RePEc:taf:applec:v:32:y:2000:i:6:p:705-715
    DOI: 10.1080/000368400322327
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368400322327
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/000368400322327?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    2. Tsong, Ching-Chuan & Wu, Chien-Wei & Chiu, Hsien-Hung & Lee, Cheng-Feng, 2013. "Covariate unit root tests under structural change and asymmetric STAR dynamics," Economic Modelling, Elsevier, vol. 33(C), pages 101-112.
    3. Milas, Costas & Rothman, Philip, 2008. "Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 101-121.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. R. Inglesi-Lotz & A. Hakimi & A. Pouris, 2018. "Patents vs publications and R&D: three sides of the same coin? Panel Smooth Transition Regression (PSTR) for OECD and BRICS countries," Applied Economics, Taylor & Francis Journals, vol. 50(45), pages 4912-4923, September.
    6. Uctum, Remzi, 2007. "Économétrie des modèles à changement de régimes : un essai de synthèse," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 447-482, décembre.
    7. Amaia Altuzarra, 2015. "Measuring Unemployment Persistence by Age and Gender," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 110-133, December.
    8. Lee, Cheng-Feng, 2010. "Testing for unemployment hysteresis in nonlinear heterogeneous panels: International evidence," Economic Modelling, Elsevier, vol. 27(5), pages 1097-1102, September.
    9. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    10. Umi Mahmudah, 2017. "Predicting unemployment rates in Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 9(1), pages 20-28, April.
    11. Cai, Yuzhi, 2007. "A quantile approach to US GNP," Economic Modelling, Elsevier, vol. 24(6), pages 969-979, November.
    12. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    14. Chang, Tsangyao & Lee, Chia-Hao, 2011. "Hysteresis in Unemployment for G-7 Countries: Threshold Unit Root Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-14, December.
    15. Hamdi, Helmi & Hakimi, Abdelaziz, 2019. "Does Liquidity Matter on Bank Profitability? Evidence from a Nonlinear Framework for a Large Sample," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(1), pages 13-26, January.
    16. Floros, Ch., 2005. "Forecasting the UK Unemployment Rate: Model Comparisons," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(4), pages 57-72.
    17. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    18. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    19. Tarlok Singh, 2012. "Testing nonlinearities in economic growth in the OECD countries: an evidence from SETAR and STAR models," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3887-3908, October.
    20. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
    21. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    22. Chang, Ming-Jen & Su, Che-Yi, 2014. "Hysteresis versus natural rate in Taiwan's unemployment: Evidence from the educational attainment categories," Economic Modelling, Elsevier, vol. 43(C), pages 293-304.
    23. Abdelaziz Hakimi & Rim Boussaada & Majdi Karmani, 2022. "Is the relationship between corruption, government stability and non‐performing loans non‐linear? A threshold analysis for the MENA region," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4383-4398, October.
    24. Adriana AnaMaria Davidescu & Simona-Andreea Apostu & Liviu Adrian Stoica, 2021. "Socioeconomic Effects of COVID-19 Pandemic: Exploring Uncertainty in the Forecast of the Romanian Unemployment Rate for the Period 2020–2023," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

    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. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    2. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    3. Anton Muscatelli & Patrizio Tirelli & Carmine Trecroci, 2001. "Monetary and Fiscal Policy Interactions over the Cycle: Some Empirical Evidence," Working Papers 2002_13, Business School - Economics, University of Glasgow, revised Oct 2002.
    4. repec:wyi:journl:002087 is not listed on IDEAS
    5. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
    6. Magdalena Osińska & Tadeusz Kufel & Marcin Błażejowski & Paweł Kufel, 2020. "Modeling mechanism of economic growth using threshold autoregression models," Empirical Economics, Springer, vol. 58(3), pages 1381-1430, March.
    7. Gengnan Chiang & Chin-Chi Liu & Hui-Hsuan Liu, 2022. "The Threshold Effect of Regulatory Quality on the Relationship between Financial Development and Economic Growth: Evidence from Asian Countries," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-6.
    8. Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 237-251, July.
    9. Ana Venâncio & João Jorge, 2022. "The role of accelerator programmes on the capital structure of start-ups," Small Business Economics, Springer, vol. 59(3), pages 1143-1167, October.
    10. Munehisa Kasuya, 2003. "Regime-Switching Approach to Monetary Policy Effects: Empirical Studies using a Smooth Transition Vector Autoregressive Model," Bank of Japan Working Paper Series Research and Statistics D, Bank of Japan.
    11. Chao Wang & Richard Gerlach, 2021. "A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting," Papers 2106.00288, arXiv.org, revised Oct 2022.
    12. John T. Barkoulas & Christopher F. Baum & Joseph Onochie, 1997. "A nonparametric investigation of the 90‐day t‐bill rate," Review of Financial Economics, John Wiley & Sons, vol. 6(2), pages 187-198.
    13. Álvaro Escribano & Oscar Jordá, 2001. "Testing nonlinearity: Decision rules for selecting between logistic and exponential STAR models," Spanish Economic Review, Springer;Spanish Economic Association, vol. 3(3), pages 193-209.
    14. Sokbae Lee & Myung Hwan Seo & Youngki Shin, 2017. "Correction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 883-883, April.
    15. Sangyup Choi & Davide Furceri & Chansik Yoon, 2021. "International Fiscal-Financial Spillovers:the Effect of Fiscal Shocks on Cross-Border Bank Lending," Open Economies Review, Springer, vol. 32(2), pages 259-290, April.
    16. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    17. Franses Philip Hans & de Bruin Paul, 2000. "Seasonal Adjustment and the Business Cycle in Unemployment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(2), pages 1-14, July.
    18. Boldea, Otilia & Hall, Alastair R., 2013. "Estimation and inference in unstable nonlinear least squares models," Journal of Econometrics, Elsevier, vol. 172(1), pages 158-167.
    19. Michael Arghyrou, 2009. "Monetary policy before and after the euro: evidence from Greece," Empirical Economics, Springer, vol. 36(3), pages 621-643, June.
    20. Richard H. Clarida & Manuela Goretti & Mark P. Taylor, 2007. "Are There Thresholds of Current Account Adjustment in the G7?," NBER Chapters, in: G7 Current Account Imbalances: Sustainability and Adjustment, pages 169-204, National Bureau of Economic Research, Inc.
    21. João Tovar Jalles & Bryn Battersby & Rachel Lee, 2024. "Effectiveness of Fiscal Announcements: Early Evidence from COVID-19," Open Economies Review, Springer, vol. 35(3), pages 623-658, July.

    More about this item

    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:taf:applec:v:32:y:2000:i:6:p:705-715. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.