IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/11-60.html
   My bibliography  Save this paper

Imperfect Information and Saving in a Small Open Economy

Author

Listed:
  • Agustin Roitman
  • Christian Daude

Abstract

Emerging markets are more volatile and face different types of shocks, in size and nature, compared to their developed counterparts. Accurate identification of the stochastic properties of shocks is difficult. We show evidence suggesting that uncertainty about the underlying stochastic process is present in commodity prices. In addition, we build a dynamic stochastic general equilibrium model with informational frictions, which explicitly considers uncertainty about the nature of shocks. When formulating expectations, the economy assigns some probability to the shocks being temporary even if they are actually permanent. Parameter instability in the stochastic process implies that optimal saving levels (debt holdings) should be higher (lower) compared to a process with fixed parameters. Imperfect information about the nature of shocks matters when commodity GDP shares are high. Thus, economic policies based on misperception of the underlying regime can lead to substantial over/under saving with important associated costs.

Suggested Citation

  • Agustin Roitman & Christian Daude, 2011. "Imperfect Information and Saving in a Small Open Economy," IMF Working Papers 11/60, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:11/60
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=24713
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ramey, Garey & Ramey, Valerie A, 1995. "Cross-Country Evidence on the Link between Volatility and Growth," American Economic Review, American Economic Association, vol. 85(5), pages 1138-1151, December.
    2. Aghion, Philippe & Angeletos, George-Marios & Banerjee, Abhijit & Manova, Kalina, 2010. "Volatility and growth: Credit constraints and the composition of investment," Journal of Monetary Economics, Elsevier, pages 246-265.
    3. Kimball, Miles S, 1990. "Precautionary Saving in the Small and in the Large," Econometrica, Econometric Society, vol. 58(1), pages 53-73, January.
    4. Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115, pages 69-102.
    5. Christopher D. Carroll, 2004. "Theoretical Foundations of Buffer Stock Saving," Economics Working Paper Archive 517, The Johns Hopkins University,Department of Economics.
    6. Dreze, Jacques H. & Modigliani, Franco, 1972. "Consumption decisions under uncertainty," Journal of Economic Theory, Elsevier, pages 308-335.
    7. Aguiar, Mark & Gopinath, Gita, 2007. "Emerging Market Business Cycles: The Cycle is the Trend," Scholarly Articles 11988098, Harvard University Department of Economics.
    8. Maurice Obstfeld & Kenneth S. Rogoff, 1996. "Foundations of International Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262150476, January.
    9. Paul Cashin & Hong Liang & C. John McDermott, 2000. "How Persistent Are Shocks to World Commodity Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 47(2), pages 1-2.
    10. Carmen M. Reinhart & Peter Wickham, 1994. "Commodity Prices: Cyclical Weakness or Secular Decline?," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 175-213, June.
    11. Emine Boz, 2009. "Can Miracles Lead to Crises? The Role of Optimism in Emerging Markets Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1189-1215, September.
    12. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    13. Angus Deaton, 1999. "Commodity Prices and Growth in Africa," Journal of Economic Perspectives, American Economic Association, vol. 13(3), pages 23-40, Summer.
    14. Emine Boz & Christian Daude & Ceyhun Bora Durdu, 2008. "Emerging market business cycles revisited: learning about the trend," International Finance Discussion Papers 927, Board of Governors of the Federal Reserve System (U.S.).
    15. Javier León & Raimundo Soto, 1997. "Structural Breaks And Long-Run Trends In Commodity Prices," Journal of International Development, John Wiley & Sons, Ltd., vol. 9(3), pages 347-366.
    16. Skinner, Jonathan, 1988. "Risky income, life cycle consumption, and precautionary savings," Journal of Monetary Economics, Elsevier, vol. 22(2), pages 237-255, September.
    17. Van Nieuwerburgh, Stijn & Veldkamp, Laura, 2006. "Learning asymmetries in real business cycles," Journal of Monetary Economics, Elsevier, vol. 53(4), pages 753-772, May.
    18. Kose, M. Ayhan, 2002. "Explaining business cycles in small open economies: 'How much do world prices matter?'," Journal of International Economics, Elsevier, vol. 56(2), pages 299-327, March.
    19. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    20. Mendoza, Enrique G., 1997. "Terms-of-trade uncertainty and economic growth," Journal of Development Economics, Elsevier, vol. 54(2), pages 323-356, December.
    21. Broda, Christian, 2004. "Terms of trade and exchange rate regimes in developing countries," Journal of International Economics, Elsevier, vol. 63(1), pages 31-58, May.
    22. A. Sandmo, 1970. "The Effect of Uncertainty on Saving Decisions," Review of Economic Studies, Oxford University Press, vol. 37(3), pages 353-360.
    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. Cherif, Reda & Hasanov, Fuad, 2013. "Oil Exporters’ Dilemma: How Much to Save and How Much to Invest," World Development, Elsevier, vol. 52(C), pages 120-131.

    More about this item

    Keywords

    Commodity prices; saving; uncertainty; Bayesian learning; Markov switching; autocorrelation; stochastic process; correlation; probabilities; statistics; Asymmetric and Private Information;

    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:imf:imfwpa:11/60. 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: (Jim Beardow) or (Hassan Zaidi). General contact details of provider: http://edirc.repec.org/data/imfffus.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.