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Modelling the Demand for Money in Pakistan

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  • Qayyum, Abdul

Abstract

The study estimates the dynamic demand for money (M2) function in Pakistan by employing cointegration analysis and error correction mechanism. The parameters of preferred model are found to be super-exogenous for the relevant class of interventions. It is found that the rate of inflation is an important determinant of money demand in Pakistan. The analysis reveals that the rates of interest, market rate, and bond yield are important for the long-run money demand behaviour. Since the preferred model is super-exogenous, it can be used for policy analysis in Pakistan.

Suggested Citation

  • Qayyum, Abdul, 2005. "Modelling the Demand for Money in Pakistan," MPRA Paper 2057, University Library of Munich, Germany, revised 2005.
  • Handle: RePEc:pra:mprapa:2057
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    References listed on IDEAS

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    1. Engle, Robert F. & Hendry, David F., 1993. "Testing superexogeneity and invariance in regression models," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 119-139, March.
    2. Qayyum, Abdul, 1998. "Error Correction Model of the Demand for Money in Pakistan," MPRA Paper 2582, University Library of Munich, Germany, revised 1998.
    3. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    4. M.A. Akhtar, 1974. "The Demand for Money In Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 13(1), pages 40-54.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Akhtar Hossain, 1994. "The Search for a Stable Money Demand Function for Pakistan: An Application of the Method of Cointegration," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 33(4), pages 969-983.
    7. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    8. Doornik, Jurgen A & Hendry, David F & Nielsen, Bent, 1998. " Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 533-572, December.
    9. Hendry, David F. & Ericsson, Neil R., 1991. "Modeling the demand for narrow money in the United Kingdom and the United States," European Economic Review, Elsevier, vol. 35(4), pages 833-881, May.
    10. Bruggeman, Annick, 2000. "The Stability of EMU-Wide Money Demand Functions and the Monetary Policy Strategy of the European Central Bank," Manchester School, University of Manchester, vol. 68(2), pages 184-202, March.
    11. Mike Artis & Andreas Beyer, 2004. "Issues in Money Demand: The Case of Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 717-736, November.
    12. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    13. Abdul Qayyum, 2001. "Sectoral Analysis of the Demand for Real Money Balances in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(4), pages 953-966.
    14. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100 Elsevier.
    15. Pesaran, M. H. & Smith, Ron P., 1998. "Structural Analysis of Cointegrating VARs," Cambridge Working Papers in Economics 9811, Faculty of Economics, University of Cambridge.
    16. Thórarinn G. Pétursson, 2000. "The representative household’s demand for money in a cointegrated VAR model," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 162-176.
    17. Daniel L. Thornton, 1983. "Why does velocity matter?," Review, Federal Reserve Bank of St. Louis, issue Dec, pages 5-13.
    18. Sophocles N. Brissimis & George Hondroyiannis & P. A. V. B. Swamy & George S. Tavlas, 2003. "Empirical Modelling of Money Demand in Periods of Structural Change: The Case of Greece," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 605-628, December.
    19. M. Hashem Pesaran & Ron P. Smith, 1998. "Structural Analysis of Cointegrating VARs," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 471-505, December.
    20. Ahmad, Mushtaq & Khan, Ashfaque H., 1990. "A reexamination of the stability of the demand for money in pakistan," Journal of Macroeconomics, Elsevier, vol. 12(2), pages 307-321.
    21. Cuthbertson, Keith & Taylor, Mark P., 1990. "Money demand, expectations, and the forward-looking model," Journal of Policy Modeling, Elsevier, vol. 12(2), pages 289-315.
    22. Stephen G. Hall & Nicholas G. Zonzilos, 2003. "An Indicator Measuring Underlying Economic Activity in Greece," Working Papers 04, Bank of Greece.
    23. H. Peter Boswijk & Jurgen A. Doornik, 2004. "Identifying, estimating and testing restricted cointegrated systems: An overview," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 440-465.
    24. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    25. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    26. I. U. Mangla, 1979. "An Annual Money Demand Function for Pakistan. Some Further Results," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 18(1), pages 21-33.
    27. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    28. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Citations

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    Cited by:

    1. Andrew Feltenstein & Luciana Lopes & Janet Porras Mendoza & Sally Wallace, 2013. "“The Impact of Micro-simulation and CGE modeling on Tax Reform and Tax Advice in Developing Countries”: A Survey of Alternative Approaches and an Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1309, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Andrew Feltenstein & Musharraf Cyan, 2012. "A Computational General Equilibrium Approach to Sectoral Analysis for Tax Potential: An Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1226, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    3. Adnan Haider & Asad Jan & Kalim Hyder, 2013. "On the (Ir)Relevance of Monetary Aggregate Targeting in Pakistan: An Eclectic View," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(2), pages 65-119, July-Dec.
    4. repec:sae:globus:v:18:y:2017:i:4:p:811-824 is not listed on IDEAS
    5. Andrew Feltenstein & Luciana Lopes & Janet Porras-Mendoza & Sally Wallace, 2014. "Modeling tax reform in developing countries," Chapters,in: Taxation and Development: The Weakest Link?, chapter 3, pages 69-102 Edward Elgar Publishing.
    6. Siffat Mushtaq & Abdul Rashid & Abdul Qayyum, 2012. "On the Welfare Cost of Inflation: The Case of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(1), pages 61-96.
    7. Andrew Feltenstein & Biplab Datta, 2018. "Broad Based Subsidies or Targeted Transfers? An Analysis of the Electricity Subsidy in Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1801, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    8. Muhammad Ahad, 2017. "Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan," Global Business Review, International Management Institute, vol. 18(4), pages 811-824, August.
    9. NGUYEN Huyen Diu & Wade D. Pfau, 2010. "The Determinants and Stability of Real Money Demand in Vietnam, 1999-2009," GRIPS Discussion Papers 10-14, National Graduate Institute for Policy Studies.
    10. repec:eee:asieco:v:52:y:2017:i:c:p:12-31 is not listed on IDEAS
    11. Hanif, M Nadim & Hyder, Zulfiqar & Lodhi, M Amin Khan & Khan, Mahmood ul Hassan & Batool, Irem, 2008. "A small-size macroeconometric model for Pakistan economy," MPRA Paper 22930, University Library of Munich, Germany, revised 2010.
    12. Hafsa Hina & Abdul Qayyum, 2015. "Re-estimation of Keynesian Model by Considering Critical Events and Multiple Cointegrating Vectors," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(2), pages 123-145.
    13. Inayat Ullah Mangla, 2011. "Reconstructing the Performance of Pakistan’s Political Economy: Another Paradigm," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 16(Special E), pages 30-70, September.
    14. Hina, Hafsa & Qayyum, Abdul, 2015. "Exchange Rate Determination and Out of Sample Forecasting: Cointegration Analysis," MPRA Paper 61997, University Library of Munich, Germany.
    15. Feltenstein, Andrew & Mejia, Carolina & Newhouse, David & Sedrakyan, Gohar, 2017. "The poverty implications of alternative tax reforms: Results from a numerical application to Pakistan," Journal of Asian Economics, Elsevier, vol. 52(C), pages 12-31.

    More about this item

    Keywords

    Money Demand; super exogenous; error correction; cointegration; Pakistan;

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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