IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24679.html
   My bibliography  Save this paper

Impact of supply of money on food prices in India: A causality analysis

Author

Listed:
  • Tiwari, Aviral

Abstract

This study attempts to investigate the direction of casualty between food prices and money supply in the static and dynamic framework. We found that narrow measure of money supply (M1) Granger causes food inflation while broad measure of money supply (M3) does not in the static framework. This implies that money supply (M1) is not neutral in determining food prices in the long run in the Indian context. From the dynamic framework of analysis we found that any one innovation in the broad measure of money supply (M3) will have positive impact on the food inflation for next three years.

Suggested Citation

  • Tiwari, Aviral, 2010. "Impact of supply of money on food prices in India: A causality analysis," MPRA Paper 24679, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:24679
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24679/1/MPRA_paper_24679.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Devadoss, Stephen & Meyers, William H., 1987. "Relative Prices and Money: Further Results for the United States," Staff General Research Papers Archive 10856, Iowa State University, Department of Economics.
    3. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
    4. 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 601-618, Nov.-Dec..
    5. 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 563-577, Sept.-Oct.
    6. David A. Bessler, 1984. "Relative Prices and Money: A Vector Autoregression on Brazilian Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 25-30.
    7. S. Devadoss & William H. Meyers, 1987. "Relative Prices and Money: Further Results for the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(4), pages 838-842.
    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. Amritkant MISHRA & Ajit Kumar DASH & Amba AGARWAL, 2023. "Quest of dynamic linkages between monetary factors and food inflation in India," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(635), S), pages 199-210, Summer.

    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. Korap, Levent, 2011. "A closer look at the money multipliers for the Turkish economy: Is there a stable relationship?," MPRA Paper 40778, University Library of Munich, Germany.
    2. Tan, Bee Wah & Tang, Chor Foon, 2011. "The dynamic relationship between private domestic investment, the user cost of capital, and economic growth in Malaysia," MPRA Paper 27964, University Library of Munich, Germany.
    3. Levent, Korap, 2006. "Seigniorage revenue and Turkish economy," MPRA Paper 20106, University Library of Munich, Germany.
    4. Swamy, Vighneswara & S, Sreejesh, 2012. "Financial Instability, Uncertainty and Banks’ Lending Behaviour," MPRA Paper 47518, University Library of Munich, Germany.
    5. Aviral Kumar Tiwari, 2012. "An Error-Correction Analysis Of India-Us Trade Flows," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(1), pages 29-51, March.
    6. Shahnoushi, Naser & Henneberry, Shida Rastegari & Manssori, Hooman, 2009. "An Examination of the Relationship between Food Prices and Government Monetary Policies in Iran," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46078, Southern Agricultural Economics Association.
    7. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    8. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    9. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    10. Bernardina Algieri, 2014. "A roller coaster ride: an empirical investigation of the main drivers of the international wheat price," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 459-475, July.
    11. Bernstein, Ronald & Madlener, Reinhard, 2015. "Short- and long-run electricity demand elasticities at the subsectoral level: A cointegration analysis for German manufacturing industries," Energy Economics, Elsevier, vol. 48(C), pages 178-187.
    12. Alfred A. Haug, 2002. "Temporal Aggregation and the Power of Cointegration Tests: a Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 399-412, September.
    13. Diamandis, Panayiotis F., 2009. "International stock market linkages: Evidence from Latin America," Global Finance Journal, Elsevier, vol. 20(1), pages 13-30.
    14. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    15. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    16. Robertson, John & Orden, David, 1988. "Cointegration And Long-Run Monetary Neutrality: A Vector Error-Correction Model Of Money And Price Dynamics In New Zealand," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270149, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Phengpis, Chanwit, 2006. "Market efficiency and cointegration of spot exchange rates during periods of economic turmoil: Another look at European and Asian currency crises," Journal of Economics and Business, Elsevier, vol. 58(4), pages 323-342.
    18. Climent, Francisco & Pardo, Angel, 2007. "Decoupling factors on the energy-output linkage: The Spanish case," Energy Policy, Elsevier, vol. 35(1), pages 522-528, January.
    19. Saghaian, Sayed & Reed, Michael, 2015. "Spillover Effects Of U.S. Federal Reserve’S Recent Quantitative Easing On Canadian Commodity Prices," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(01), pages 1-33, January.
    20. Krishna M. Kasibhatla & David Stewart & Swapan Sen & John Malindretos, 2006. "Are Daily Stock Price Indices in the Major European Equity Markets Cointegrated? Tests and Evidence," The American Economist, Sage Publications, vol. 50(2), pages 47-57, October.

    More about this item

    Keywords

    Food Prices. Money Supply. Granger-causality;

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:24679. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.