IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/79088.html
   My bibliography  Save this paper

The role of money as an important pillar for monetary policy: the case of Albania

Author

Listed:
  • Shijaku, Gerti

Abstract

The main focus of this paper is to appraise the money demand function and the velocity of broad money, M3, in the medium and long-term, given its role as a second pivotal pillar for the monetary policy of the Bank of Albania, in accordance with its primary objective, that of price stability. The results show that the demand for money is stable, even in the aftermath of global financial crisis, as well as its performance contains important information for the inflation trend.

Suggested Citation

  • Shijaku, Gerti, 2016. "The role of money as an important pillar for monetary policy: the case of Albania," MPRA Paper 79088, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79088
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/79088/1/MPRA_paper_79088.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Friedman, Milton, 1988. "Money and the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 221-245, April.
    2. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    3. Otmar Issing, 2002. "Monetary Policy In A World of Uncertainty," Economie Internationale, CEPII research center, issue 92, pages 165-179.
    4. Gerlach, Stefan & Svensson, Lars E. O., 2003. "Money and inflation in the euro area: A case for monetary indicators?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1649-1672, November.
    5. Taylor, Mark P, 1991. "The Hyperinflation Model of Money Demand Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(3), pages 327-351, August.
    6. Onafowora, Olugbenga A. & Owoye, Oluwole, 1998. "Can Trade Liberalization Stimulate Economic Growth in Africa?," World Development, Elsevier, vol. 26(3), pages 497-506, March.
    7. Shijaku, Gerti & Kalluci, Irini, 2013. "Determinants of bank credit to the private sector: The case of Albania," MPRA Paper 79092, University Library of Munich, Germany.
    8. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    9. Lucas, Robert E, Jr, 1980. "Two Illustrations of the Quantity Theory of Money," American Economic Review, American Economic Association, vol. 70(5), pages 1005-1014, December.
    10. Subramanian S Sriram, 1999. "Demand for M2 in an Emerging-Market Economy; An Error-Correction Model for Malaysia," IMF Working Papers 99/173, International Monetary Fund.
    11. Boris Hofmann, 2001. "The determinants of private sector credit in industrialised countries: do property prices matter?," BIS Working Papers 108, Bank for International Settlements.
    12. Claus Brand & Dieter Gerdesmeier & Barbara Roffia, 2002. "Estimating the trend of M3 income velocity underlying the reference value for monetary growth," Occasional Paper Series 03, European Central Bank.
    13. Paolo PAESANI, 2003. "Will the Monetary Pillar Stay? A Few Lessons from the UK," Economics Working Papers ECO2003/10, European University Institute.
    14. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    15. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    16. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    17. repec:oup:ecpoli:v:19:y:2004:i:40:p:389-439 is not listed on IDEAS
    18. Johansen, Soren, 1992. "Testing weak exogeneity and the order of cointegration in UK money demand data," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 313-334, June.
    19. Brand, Claus & Gerdesmeier, Dieter & Roffia, Barbara, 2002. "Estimating the trend of M3 income velocity underlying the reference value for monetary growth," Occasional Paper Series 3, European Central Bank.
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shijaku, Gerti & Dushku, Elona, 2017. "Foreign reserve holdings: an extended study through risk-inspired motives," MPRA Paper 79199, University Library of Munich, Germany.
    2. Shijaku, Gerti, 2016. "Foreign currency lending in Albania," MPRA Paper 79087, University Library of Munich, Germany.
    3. Gerti Shijaku, 2015. "The Macroeconomic Pass-through Effects of Monetary Policy through Sign Restrictions Approach: In the Case of Albania," IHEID Working Papers 11-2015, Economics Section, The Graduate Institute of International Studies.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    2. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    3. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    4. Stefan Gerlach, 2004. "The two pillars of the European Central Bank," Economic Policy, CEPR;CES;MSH, vol. 19(40), pages 389-439, October.
    5. repec:oup:ecpoli:v:19:y:2004:i:40:p:389-439 is not listed on IDEAS
    6. Christian Dreger & Dieter Gerdesmeier & Barbara Roffia, 2019. "Re‐vitalizing money demand in the Euro area. Still valid at the zero‐lower bound," Bulletin of Economic Research, Wiley Blackwell, vol. 71(4), pages 599-615, October.
    7. Sunil Sharma & Neil R. Ericsson, 1998. "Broad money demand and financial liberalization in Greece," Empirical Economics, Springer, vol. 23(3), pages 417-436.
    8. Heimonen, Kari, 2010. "Money and equity returns in the Euro area," Global Finance Journal, Elsevier, vol. 21(2), pages 152-169.
    9. Saten Kumar & Don J. Webber, 2013. "Australasian money demand stability: application of structural break tests," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 1011-1025, March.
    10. Carstensen, Kai, 2004. "Is European Money Demand Still Stable?," Kiel Working Papers 1179, Kiel Institute for the World Economy (IfW).
    11. Beyer, Andreas, 2009. "A Stable Model for Euro Area Money Demand: Revisiting the Role of Wealth," Working Paper Series 1111, European Central Bank.
    12. 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.
    13. Litsios, Ioannis, 2013. "Exchange rate determination and equity prices: Evidence from the UK," The Journal of Economic Asymmetries, Elsevier, vol. 10(2), pages 115-128.
    14. Fakhri J. Hasanov & Lester C. Hunt & Ceyhun I. Mikayilov, 2016. "Modeling and Forecasting Electricity Demand in Azerbaijan Using Cointegration Techniques," Energies, MDPI, Open Access Journal, vol. 9(12), pages 1-31, December.
    15. Rodríguez-Caballero, Carlos Vladimir & Ventosa-Santaulària, Daniel, 2017. "Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the USA," Energy Economics, Elsevier, vol. 61(C), pages 121-134.
    16. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    17. Kühl, Michael, 2007. "Cointegration in the foreign exchange market and market efficiency since the introduction of the Euro: Evidence based on bivariate cointegration analyses," Center for European, Governance and Economic Development Research Discussion Papers 68, University of Goettingen, Department of Economics.
    18. Campos, Julia & Ericsson, Neil R. & Hendry, David F., 1996. "Cointegration tests in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 70(1), pages 187-220, January.
    19. Rault, Christophe, 2005. "Further Results on Weak Exogeneity in Vector Error Correction Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    20. Ansgar Belke & Yuhua Cui, 2010. "US–Euro Area Monetary Policy Interdependence: New Evidence from Taylor Rule‐based VECMs," The World Economy, Wiley Blackwell, vol. 33(5), pages 778-797, May.
    21. Sophocles Brissimis & Thomas Vlassopoulos, 2009. "The Interaction between Mortgage Financing and Housing Prices in Greece," The Journal of Real Estate Finance and Economics, Springer, vol. 39(2), pages 146-164, August.

    More about this item

    Keywords

    Monetary policy; quantitative theory; Phillips curve; reference value; VECM; P-STAR approach;
    All these keywords.

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:79088. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.