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Inflation in Pakistan

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Author Info

  • Mohsin S. Khan

    (Middle East and Central Asia Department of the International Monetary Fund.)

  • Axel Schimmelpfennig

    (Middle East and Central Asia Department of the International Monetary Fund.)

Abstract

This paper examines the factors that explain and help forecast inflation in Pakistan. A simple inflation model is specified that includes standard monetary variables (money supply, credit to the private sector), an activity variable, the interest and the exchange rates, as well as the wheat support price as a supply-side factor. The model is estimated for the period January 1998 to June 2005 on a monthly basis. The results indicate that monetary factors have played a dominant role in recent inflation, affecting inflation with a lag of about one year. Private sector credit growth and broad money growth are also good leading indicators of inflation which can be used to forecast future inflation developments.

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Bibliographic Info

Article provided by Pakistan Institute of Development Economics in its journal The Pakistan Development Review.

Volume (Year): 45 (2006)
Issue (Month): 2 ()
Pages: 185-202

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Handle: RePEc:pid:journl:v:45:y:2006:i:2:p:185-202

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Keywords: Inflation; Pakistan;

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References

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  1. Mohsin S. Khan & A. Senhadji Semlali & Bruce D. Smith, 2001. "Inflation and Financial Depth," IMF Working Papers 01/44, International Monetary Fund.
  2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-77, Sept.-Oct.
  3. Massimiliano Marcellino, 2005. "Leading Indicators: What Have We Learned?," Working Papers 286, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  4. De Grauwe, Paul & Polan, Magdalena, 2005. "Is inflation always and everywhere a monetary phenomenon?," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/101180, Katholieke Universiteit Leuven.
  5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
  6. International Monetary Fund, 2005. "Three Attempts at Inflation Forecasting in Pakistan," IMF Working Papers 05/105, International Monetary Fund.
  7. David F. Hendry & Hans-Martin Krolzig, 2004. "We Ran One Regression," Economics Papers 2004-W17, Economics Group, Nuffield College, University of Oxford.
  8. Nathan S. Balke & Kenneth M. Emery, 1994. "Understanding the price puzzle," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q IV, pages 15-26.
  9. Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
  10. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec..
  11. Ashfaque H. Khan & Mohammad Ali Qasim, 1996. "Inflation in Pakistan Revisited," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 35(4), pages 747-759.
  12. Paul De Grauwe & Magdalena Polan, 2005. "Is Inflation Always and Everywhere a Monetary Phenomenon?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 239-259, 06.
  13. A. Senhadji Semlali & Mohsin S. Khan, 2000. "Threshold Effects in the Relationship Between inflation and Growth," IMF Working Papers 00/110, International Monetary Fund.
  14. Zulfiqar Hyder & Sardar Shah, 2005. "Exchange Rate Pass-Through to Domestic Prices in Pakistan," Macroeconomics 0510020, EconWPA.
  15. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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