IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v55y2019i1p201-217.html

Long Memory in Turkish Unemployment Rates

Author

Listed:
  • Luis Alberiko Gil-Alana
  • Zeynel Abidin Ozdemir
  • Aysit Tansel

Abstract

In this article we have examined the unemployment rate series in Turkey by using long memory models and in particular employing fractionally integrated techniques. Our results suggest that unemployment in Turkey is highly persistent, with orders of integration equal to or higher than 1 in the majority of the cases. This implies lack of mean reversion and persistence of the shocks. We found evidence in favor of mean reversion in the case of female unemployment and this happens for all the groups of non-agricultural, rural, urban, and youth unemployment series. The possibility of nonlinearities are observed only in the case of female unemployment and the degree of persistence is higher in the cases of female and youth unemployment series. Important policy implications emerge from our empirical results. Thus, for example, positive shocks reducing unemployment will have permanent effects being good for the economy, but negative shocks increasing unemployment will also have permanent effects and strong measures should then be adopted to reduce it. Labor and macroeconomic policies will most likely have long-lasting effects on the unemployment rates.

Suggested Citation

  • Luis Alberiko Gil-Alana & Zeynel Abidin Ozdemir & Aysit Tansel, 2019. "Long Memory in Turkish Unemployment Rates," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(1), pages 201-217, January.
  • Handle: RePEc:mes:emfitr:v:55:y:2019:i:1:p:201-217
    DOI: 10.1080/1540496X.2018.1425837
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2018.1425837
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2018.1425837?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Murat Demirci & Meltem Poyraz, 2021. "A Practitioner’s Guide to Handling Irregularities Resulting from the 2014 Revisions to the Turkish Household Labor Force Survey," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 35(1), pages 1-25.
    2. OlaOluwa S. Yaya & Ahamuefula E. Ogbonna & Robert Mudida, 2019. "Hysteresis of unemployment rates in Africa: new findings from Fourier ADF test," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2781-2795, November.
    3. Boughabi, Houssam, 2025. "Modeling Wage Expectations and Long-Memory Dynamics in the German Labor Market, 1914–1920," MPRA Paper 126295, University Library of Munich, Germany.
    4. Shelton Peiris & Richard Hunt, 2023. "Revisiting the Autocorrelation of Long Memory Time Series Models," Mathematics, MDPI, vol. 11(4), pages 1-8, February.
    5. Sakiru Adebola Solarin & Luis A. Gil-Alana & Carmen Lafuente, 2020. "Persistence of the Misery Index in African Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 825-841, February.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:mes:emfitr:v:55:y:2019:i:1:p:201-217. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/MREE20 .

    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.