IDEAS home Printed from https://ideas.repec.org/p/rba/rbardp/rdp2009-10.html

Global Relative Price Shocks: The Role of Macroeconomic Policies

Author

Listed:
  • Adam Cagliarini

    (Reserve Bank of Australia)

  • Warwick McKibbin

    (Centre for Applied Macroeconomic Analysis, Australian National University)

Abstract

We use the multi-sector and multi-country G-Cubed model to explore the potential role of three major shocks – to productivity, risk premia and US monetary policy – to explain the large movements in relative prices between 2002 and 2008. We find that productivity shocks were major drivers of relative price movements, while shocks to risk premia and US monetary policy contributed temporarily to some of the relative price dispersions we observe in the data. The effect of US monetary policy shocks on relative prices was most pronounced in countries that fix their currency to the US dollar. Those countries that float were largely shielded from these effects. We conclude that the shocks we consider cannot fully capture the magnitude of the relative price movements over this period, suggesting that other driving forces could also be responsible, including those outside of the model.

Suggested Citation

  • Adam Cagliarini & Warwick McKibbin, 2009. "Global Relative Price Shocks: The Role of Macroeconomic Policies," RBA Research Discussion Papers rdp2009-10, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp2009-10
    as

    Download full text from publisher

    File URL: https://www.rba.gov.au/publications/rdp/2009/pdf/rdp2009-10.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Elena Deryugina & Natalia Karlova & Alexey Ponomarenko & Anna Tsvetkova, 2019. "The role of regional and sectoral factors in Russian inflation developments," Economic Change and Restructuring, Springer, vol. 52(4), pages 453-474, November.
    2. Peter Tulip, 2014. "The Effect of the Mining Boom on the Australian Economy," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 17-22, December.
    3. Valdivia, Daney, 2015. "Handbook on DSGE models: some useful tips in modeling a DSGE models," MPRA Paper 61347, University Library of Munich, Germany.
    4. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    5. Manalo, Josef & Perera, Dilhan & Rees, Daniel M., 2015. "Exchange rate movements and the Australian economy," Economic Modelling, Elsevier, vol. 47(C), pages 53-62.
    6. Warwick J McKibbin & Andrew Stoeckel, 2018. "Modelling a complex world: improving macro-models," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 329-347.
    7. Babatunde .Wasiu. ADEOYE & Olufemi Muibi SAIBU, 2014. "Monetary Policy Shocks and Exchange Rate Volatility in Nigeria," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 544-562, April.
    8. Mansur, Alfan, 2016. "The Impact of a Loss of Confidence in Emerging Market Economies to the World Economy: A Simulation with the G-Cubed Model," MPRA Paper 93870, University Library of Munich, Germany, revised 10 Nov 2017.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

    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:rba:rbardp:rdp2009-10. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Paula Drew (email available below). General contact details of provider: https://edirc.repec.org/data/rbagvau.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.