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Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries

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  • S. Borağan Aruoba
  • Pablo Cuba-Borda
  • Frank Schorfheide

Abstract

We propose and solve a small-scale New-Keynesian model with Markov sunspot shocks that move the economy between a targeted-inflation regime and a deflation regime and fit it to data from the U.S. and Japan. For the U.S. we find that adverse demand shocks have moved the economy to the zero lower bound (ZLB) in 2009 and an expansive monetary policy has kept it there subsequently. In contrast, Japan has experienced a switch to the deflation regime in 1999 and remained there since then, except for a short period. The two scenarios have drastically different implications for macroeconomic policies. Fiscal multipliers are about 20% smaller in the deflationary regime, despite the economy remaining at the ZLB. While a commitment by the central bank to keep rates near the ZLB doubles the fiscal multipliers in the targeted-inflation regime (U.S.), it has no effect in the deflation regime (Japan).

Suggested Citation

  • S. Borağan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2013. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," NBER Working Papers 19248, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:19248
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    1. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2013. "Inflation Dynamics And Labor Market Specifications: A Bayesian Dynamic Stochastic General Equilibrium Approach For Japan'S Economy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 273-287, January.
    2. Fernández-Villaverde, Jesús & Gordon, Grey & Guerrón-Quintana, Pablo & Rubio-Ramírez, Juan F., 2015. "Nonlinear adventures at the zero lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 182-204.
    3. Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
    4. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
    5. S. Boragan Aruoba & Frank Schorfheide, 2011. "Sticky Prices versus Monetary Frictions: An Estimation of Policy Trade-Offs," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 60-90, January.
    6. Oecd, 2013. "Albania Assessment Report 2013," SIGMA Country Assessment Reports 2013/14, OECD Publishing.
    7. Kuroda, Sachiko & Yamamoto, Isamu, 2008. "Estimating Frisch labor supply elasticity in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 566-585, December.
    8. Oecd, 2013. "Kosovo Assessment Report 2013," SIGMA Country Assessment Reports 2013/8, OECD Publishing.
    9. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    10. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    11. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    12. Oecd, 2013. "Turkey Assessment Report 2013," SIGMA Country Assessment Reports 2013/2, OECD Publishing.
    13. Ireland, Peter N, 2004. "Money's Role in the Monetary Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(6), pages 969-983, December.
    14. Krueger, Dirk & Kubler, Felix, 2004. "Computing equilibrium in OLG models with stochastic production," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1411-1436, April.
    15. John H. Cochrane, 2013. "The New-Keynesian Liquidity Trap," NBER Working Papers 19476, National Bureau of Economic Research, Inc.
    16. 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.
    17. repec:aea:aecrev:v:107:y:2017:i:7:p:1971-2006 is not listed on IDEAS
    18. Stephanie Schmitt-Grohé & Martín Uribe, 2012. "The Making Of A Great Contraction With A Liquidity Trap and A Jobless Recovery," NBER Working Papers 18544, National Bureau of Economic Research, Inc.
    19. Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342.
    20. Karel R. S. M. Mertens & Morten O. Ravn, 2014. "Fiscal Policy in an Expectations-Driven Liquidity Trap," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1637-1667.
    21. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    22. Boneva, Lena Mareen & Braun, R. Anton & Waki, Yuichiro, 2016. "Some unpleasant properties of loglinearized solutions when the nominal rate is zero," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 216-232.
    23. Cass, David & Shell, Karl, 1983. "Do Sunspots Matter?," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 193-227, April.
    24. Gauti B. Eggertsson & Michael Woodford, 2003. "The Zero Bound on Interest Rates and Optimal Monetary Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 139-235.
    25. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, Elsevier.
    26. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2010. "A Cluster-Grid Projection Method: Solving Problems with High Dimensionality," NBER Working Papers 15965, National Bureau of Economic Research, Inc.
    27. Kazuo Ueda, 2012. "The Effectiveness Of Non‐Traditional Monetary Policy Measures: The Case Of The Bank Of Japan," The Japanese Economic Review, Japanese Economic Association, vol. 63(1), pages 1-22, March.
    28. Tim Hursey & Alexander L. Wolman, 2010. "Monetary policy and global equilibria in a production economy," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 317-337.
    29. Kenneth Judd & Lilia Maliar & Serguei Maliar, 2012. "Merging simulation and projection approaches to solve high-dimensional problems," Working Papers. Serie AD 2012-20, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    30. Gust, Christopher J. & Lopez-Salido, J. David & Smith, Matthew E. & Herbst, Edward, 2012. "The Empirical Implications of the Interest-Rate Lower Bound," Finance and Economics Discussion Series 2012-83, Board of Governors of the Federal Reserve System (U.S.), revised Jan 2016.
    31. Oecd, 2013. "Montenegro Assessment Report 2013," SIGMA Country Assessment Reports 2013/6, OECD Publishing.
    32. Armenter, Roc, 2013. "The perils of nominal targets," Working Papers 14-2, Federal Reserve Bank of Philadelphia, revised 04 Feb 2014.
    33. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
    34. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
    35. Schmitt-Grohé, Stephanie & Uribe, Martín, 2012. "The Making Of A Great Contraction With A Liquidity Trap and A Jobless Recovery," CEPR Discussion Papers 9237, C.E.P.R. Discussion Papers.
    36. Oecd, 2013. "Bosnia and Herzegovina Assessment Report 2013," SIGMA Country Assessment Reports 2013/12, OECD Publishing.
    37. Oecd, 2013. "Serbia Assessment Report 2013," SIGMA Country Assessment Reports 2013/4, OECD Publishing.
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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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