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Consumption and Money Uncertainty at the Zero Lower Bound

Author

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  • Riyad Abubaker

    (University of California, Riverside)

Abstract

With the recent financial crisis of 2008, the Federal Reserve (Fed) reduced the nominal interest rate to nearly zero. This paper examines the impact of the Zero Lower Bound (ZLB) on the uncertainty of personal consumption and money stock. To calculate the second conditional moments as a proxy for uncertainty, the paper implements a multivariate GARCH model on U.S. personal consumption and real money balance from January 1980 to December 2014. A dummy variable is added to the variance equation. Here, the dummy variable takes 1 after the Fed encounters the ZLB constraint. Our main findings demonstrate that consumption uncertainty declines; and real money uncertainty increases significantly when the economy is constrained by the zero lower bound.

Suggested Citation

  • Riyad Abubaker, 2016. "Consumption and Money Uncertainty at the Zero Lower Bound," Economics Bulletin, AccessEcon, vol. 36(1), pages 449-463.
  • Handle: RePEc:ebl:ecbull:eb-15-00406
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    References listed on IDEAS

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    1. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    2. Günter Coenen & Anders Warne, 2014. "Risks to Price Stability, the Zero Lower Bound, and Forward Guidance: A Real-Time Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 7-54, June.
    3. Eric T. Swanson & John C. Williams, 2014. "Measuring the Effect of the Zero Lower Bound on Medium- and Longer-Term Interest Rates," American Economic Review, American Economic Association, vol. 104(10), pages 3154-3185, October.
    4. Evan F. Koenig, 1990. "Real Money Balances and the Timing of Consumption: An Empirical Investigation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 399-425.
    5. Michael Woodford, 2011. "Simple Analytics of the Government Expenditure Multiplier," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 1-35, January.
    6. Gomes, S. & Jacquinot, P. & Mestre, R. & Sousa, J., 2015. "Global policy at the zero lower bound in a large-scale DSGE model," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 134-153.
    7. Jonathan A. Parker & Bruce Preston, 2005. "Precautionary Saving and Consumption Fluctuations," American Economic Review, American Economic Association, vol. 95(4), pages 1119-1143, September.
    8. Benchimol, Jonathan & Fourçans, André, 2012. "Money and risk in a DSGE framework: A Bayesian application to the Eurozone," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 95-111.
    9. Tse, Y. K., 2000. "A test for constant correlations in a multivariate GARCH model," Journal of Econometrics, Elsevier, vol. 98(1), pages 107-127, September.
    10. Chattopadhyay, Siddhartha & Daniel, Betty C., 2014. "The Inflation Target at the Zero Lower Bound," MPRA Paper 66096, University Library of Munich, Germany.
    11. Gavin, William T. & Keen, Benjamin D. & Richter, Alexander W. & Throckmorton, Nathaniel A., 2015. "The zero lower bound, the dual mandate, and unconventional dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 14-38.
    12. Michael T. Kiley, 2014. "The Response of Equity Prices to Movements in Long‐Term Interest Rates Associated with Monetary Policy Statements: Before and After the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(5), pages 1057-1071, August.
    13. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    14. Lawrence Christiano & Martin Eichenbaum & Sergio Rebelo, 2011. "When Is the Government Spending Multiplier Large?," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 78-121.
    15. Florin O. Bilbiie & Tommaso Monacelli & Roberto Perotti, 2019. "Is Government Spending at the Zero Lower Bound Desirable?," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 147-173, July.
    16. Leonardo Gambacorta & Boris Hofmann & Gert Peersman, 2014. "The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross‐Country Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 615-642, June.
    17. Crowder, William J & Hoffman, Dennis L, 1996. "The Long-Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 102-118, February.
    18. Junko Koeda, 2011. "Japanese Yield Curves In and Out of a Zero Rate Environmnet: A Macro-Finance Perspective," CARF F-Series CARF-F-254, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Nov 2011.
    19. Michael Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Endogenous Uncertainty," Economic Journal, Royal Economic Society, vol. 128(611), pages 1730-1757, June.
    20. Bodenstein, Martin & Guerrieri, Luca & Gust, Christopher J., 2013. "Oil shocks and the zero bound on nominal interest rates," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 941-967.
    21. Canzoneri, Matthew B. & Cumby, Robert E. & Diba, Behzad T., 2007. "Euler equations and money market interest rates: A challenge for monetary policy models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1863-1881, October.
    22. Arnab Bhattacharjee & Christoph Thoenissen, 2007. "Money And Monetary Policy In Dynamic Stochastic General Equilibrium Models," Manchester School, University of Manchester, vol. 75(s1), pages 88-122, September.
    23. Gert Peersman, 2012. "Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound," 2012 Meeting Papers 400, Society for Economic Dynamics.
    24. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
    25. Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, June.
    26. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    27. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
    28. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    29. Kevin B. Grier & Mark J. Perry, 2000. "The effects of real and nominal uncertainty on inflation and output growth: some garch-m evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 45-58.
    30. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    31. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.

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    More about this item

    Keywords

    Consumption; Money; Multivariate GARCH;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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