IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-02194-8_12.html
   My bibliography  Save this book chapter

Inflation, Unemployment and the NAIRU in Poland

In: Advances in Time Series Data Methods in Applied Economic Research

Author

Listed:
  • Pavlos Stamatiou

    (Western Macedonia University of Applied Sciences)

  • Chaido Dritsaki

    (Western Macedonia University of Applied Sciences)

Abstract

The purpose of this paper is to investigate the relationship between inflation and unemployment rate, in the case of Poland over the period 1992–2017, within the Phillips curve context. Several econometric techniques are applied, including the bounds testing (ARDL) approach developed by Pesaran et al. (J Appl Econometrics 16(3):289–326, 2001) as well as Toda and Yamamoto (J Econometrics 66:225–250, 1995) modification of the Granger causality test (no-causality approach) in a two-variable vector autoregression (VAR) model. The results of the study confirm a long run relationship among the examined variables for the aforementioned period. Finally, the findings of Toda and Yamamoto (J Econometrics 66:225–250, 1995) analysis indicate a unidirectional causality between unemployment rate and inflation with direction from unemployment rate to inflation. Policy implications are then explored in the conclusions.

Suggested Citation

  • Pavlos Stamatiou & Chaido Dritsaki, 2018. "Inflation, Unemployment and the NAIRU in Poland," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Time Series Data Methods in Applied Economic Research, chapter 0, pages 159-176, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-02194-8_12
    DOI: 10.1007/978-3-030-02194-8_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Inflation; Unemployment; NAIRU; Poland; Autoregressive distributed lag cointegration test; Toda-Yamamoto causality test;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - 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:spr:prbchp:978-3-030-02194-8_12. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.