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Measuring the effects of monetary policy in Pakistan: A factor augmented vector autoregressive approach

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  • Munir, Kashif
  • Qayyum, Abdul

Abstract

This paper examines the effects of monetary policy in Pakistan economy using a data rich environment. We used the Factor Augmented Vector Autoregressive (FAVAR) methodology, which contains 115 monthly variables for the period 1992:01 to 2010:12. We compare the results of VAR and FAVAR model and the results showed that FAVAR model explains the effects of monetary policy which are consistent with theory and better than VAR model. VAR model shows the existence of price puzzle and liquidity puzzle in Pakistan while FAVAR model did not provide any evidence of puzzles. FAVAR model supports the effectiveness of interest rate channel in Pakistan.

Suggested Citation

  • Munir, Kashif & Qayyum, Abdul, 2012. "Measuring the effects of monetary policy in Pakistan: A factor augmented vector autoregressive approach," MPRA Paper 35976, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:35976
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    1. Mahmood-ul-Hasan Khan, 2008. "Short Run Effects of an Unanticipated Change in Monetary Policy: Interpreting Macroeconomic Dynamics in Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 4, pages 1-30.
    2. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    3. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, December.
    4. Gianluca Laganà & Andrew Mountford, 2005. "Measuring Monetary Policy In The Uk: A Factor‐Augmented Vector Autoregression Model Approach," Manchester School, University of Manchester, vol. 73(s1), pages 77-98, September.
    5. Muhammad Javid & Kashif Munir, 2010. "The Price Puzzle and Monetary Policy Transmission Mechanism in Pakistan: Structural Vector Autoregressive Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 49(4), pages 449-460.
    6. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    7. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic Factor Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 3, pages 25-40, Springer.
    8. Rossi Júnior, José Luiz, 2009. "Identification of monetary policy shocks and its effects: FAVAR methodology for the Brazilian economy," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(2), December.
    9. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    10. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    11. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    12. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    13. Bagliano, Fabio C. & Favero, Carlo A., 1998. "Measuring monetary policy with VAR models: An evaluation," European Economic Review, Elsevier, vol. 42(6), pages 1069-1112, June.
    14. Karrar Hussain, 2009. "Monetary Policy Channels of Pakistan and Their Impact on Real GDP and Inflation," CID Working Papers 41, Center for International Development at Harvard University.
    15. Alain Kabundi & Nonhlanhla Ngwenya, 2011. "Assessing Monetary Policy In South Africa In A Data‐Rich Environment," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 91-107, March.
    16. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    17. Noor Ahmed & Hastam Shah & Asif Idrees Agha & Yasir Ali Mubarik, 2005. "Transmission Mechanism of Monetary Policy in Pakistan," SBP Working Paper Series 09, State Bank of Pakistan, Research Department.
    18. Masahiko Shibamoto, 2007. "An Analysis Of Monetary Policy Shocks In Japan: A Factor Augmented Vector Autoregressive Approach," The Japanese Economic Review, Japanese Economic Association, vol. 58(4), pages 484-503, December.
    19. Blaes, Barno, 2009. "Money and monetary policy transmission in the euro area: evidence from FAVAR- and VAR approaches," Discussion Paper Series 1: Economic Studies 2009,18, Deutsche Bundesbank.
    20. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    21. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    22. Asif Idrees Agha & Noor Ahmed & Yasir Ali Mubarik & Hastam Shah, 2005. "Transmission Mechanism of Monetary Policy in Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 1, pages 1-23.
    23. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
    24. Peersman, Gert & Smets, Frank, 2001. "The monetary transmission mechanism in the euro area: more evidence from VAR analysis," Working Paper Series 91, European Central Bank.
    25. Jon Faust & John H. Rogers & Eric Swanson & Jonathan H. Wright, 2003. "Identifying the Effects of Monetary Policy Shocks on Exchange Rates Using High Frequency Data," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1031-1057, September.
    26. Muhammad Sadiq Ansari, 2007. "An Empirical Investigation of Cost Efficiency in the Banking Sector of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 3, pages 209-231.
    27. Miyao, Ryuzo, 2002. "The Effects of Monetary Policy in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 376-392, May.
    28. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    29. Rita Soares, 2011. "Assessing monetary policy in the euro area: a factor-augmented VAR approach," Working Papers w201111, Banco de Portugal, Economics and Research Department.
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    Cited by:

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    4. Abdullah, Muhammad & Gul, Zarro & Waseem, Faiza & Islam, Tanweer, 2021. "The State of Pakistan’s Economy and the Ineffectiveness of Monetary Policy," MPRA Paper 112678, University Library of Munich, Germany.
    5. Rozina Shaheen, 2020. "Credit market conditions and impact of monetary policy in a developing economy context," International Economics and Economic Policy, Springer, vol. 17(2), pages 409-425, May.
    6. Tayyaba Mukhtar & Muhammad Zeeshan Younas, 2019. "Monetary Policy Transmission Mechanism of Pakistan: Evidence from Bank Lending and Asset Price Channels," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(3), pages 121-139, September.
    7. Afsin Sahin & Volkan Ulke, 2015. "Farkli Belirsizlik Duzeylerinde Faiz Oraninin Makroekonomik Degiskenlere Etkileri : Turkiye Uzerine Etkilesimli Vektor Otoregresif Modeli Uygulamasi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 15(1), pages 65-93.
    8. Elif ERER & Deniz ERER & Mustafa ÇAYIR & Nasuh Oğuzhan ALTAY, 2016. "TCMB, FED ve ECB Para Politikalarının Türkiye Ekonomisi Üzerindeki Etkileri: 1994-2014 Dönemi Analizi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(29).
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    10. Arikan, Cengiz & Yalcin, Yeliz, 2017. "Do The Countries’ Monetary Policies Have Spatial Impact?," MPRA Paper 83407, University Library of Munich, Germany.

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    JEL classification:

    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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