IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Estimating Pakistan’s Time Varying Non-Accelerating Inflation Rate of Unemployment: An Unobserved Component Approach

  • Farzana Shaheen

    (School of Social Sciences Federal Urdu University of Arts, Sciences and Technology Islamabad, Pakistan.)

  • Azad Haider

    (School of Economics, Quaid-e-Azam University, Islamabad, Pakistan.)

  • Sajid Amin Javed

    (School of Economics, International Islamic University, Islamabad, Pakistan.)

This paper envisages estimating the Time-Varying Non-Accelerating Inflation Rate of Unemployment (TV-NAIRU) as an unobserved stochastic variable for Pakistan over the time period 1973-74 to 2007-08 using Kalman filter. Results of the study are evident that TV-NAIRU increased from 5.3 percent (1990-91) to 8.12 percent (2004-05) and falls to 6.17 percent again in 2007-08 which is above the actual unemployment rate. The results also indicate that the NAIRU is a relevant concept and the unemployment gap should be one of the factors considered when assessing inflationary pressure in Pakistan.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

File URL:
Download Restriction: no

Article provided by Econjournals in its journal International Journal of Economics and Financial Issues.

Volume (Year): 1 (2011)
Issue (Month): 4 ()
Pages: 172-179

in new window

Handle: RePEc:eco:journ1:2011-04-4
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Gordon, Robert J, 1996. "The Time-varying NAIRU and its Implications for Economic Policy," CEPR Discussion Papers 1492, C.E.P.R. Discussion Papers.
  2. Yasuo Hirose & Koichiro Kamada, 2002. "Time-Varying NAIRU and Potential Growth in Japan," Bank of Japan Working Paper Series Research and Statistics D, Bank of Japan.
  3. Fitzenberger, Bernd & Franz, Wolfgang & Bode, Oliver, 2007. "The Phillips Curve and NAIRU Revisited: New Estimates for Germany," ZEW Discussion Papers 07-070, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. Franco Modigliani & Lucas Papademos, 1975. "Targets for Monetary Policy in the Coming Year," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 6(1), pages 141-166.
  5. Natan P. Epstein & Corrado Macchiarelli, 2010. "Estimating Poland's Potential Output: A Production Function Approach," IMF Working Papers 10/15, International Monetary Fund.
  6. Camille Logeay & Silke Tober, 2006. "Hysteresis And The Nairu In The Euro Area," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(4), pages 409-429, 09.
  7. Gerlach, Stefan & Smets, Frank, 1999. "Output gaps and monetary policy in the EMU area1," European Economic Review, Elsevier, vol. 43(4-6), pages 801-812, April.
  8. Silvia Fabiani & Ricardo Mestre, 2004. "A system approach for measuring the euro area NAIRU," Empirical Economics, Springer, vol. 29(2), pages 311-341, 05.
  9. Gustav Horn & Camille Logeay & Silke Tober, 2007. "Estimating Germany's Potential Output," IMK Working Paper 02-2007, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  10. Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
  11. Aleksejs Melihovs & Anna Zasova, 2009. "The Assessment of Natural Rate of Unemployment and Capacity Utilisation in Latvia," Working Papers 2009/02, Latvijas Banka.
  12. Thomas Laubach, 2001. "Measuring The NAIRU: Evidence From Seven Economies," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 218-231, May.
  13. Pete Richardson & Laurence Boone & Claude Giorno & Mara Meacci & David Rae & David Turner, 2000. "The Concept, Policy Use and Measurement of Structural Unemployment: Estimating a Time Varying NAIRU Across 21 OECD Countries," OECD Economics Department Working Papers 250, OECD Publishing.
  14. Apel, Mikael & Jansson, Per, 1998. "A Theory-Consistent System Approach for Estimating Potential Output and the NAIRU," Working Paper Series 74, Sveriges Riksbank (Central Bank of Sweden).
  15. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2011-04-4. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ilhan Ozturk)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.