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ASYMMETRY AND THE AMPLITUDE OF BUSINESS CYCLE FLUCTUATIONS: A QUANTITATIVE INVESTIGATION OF THE ROLE OF FINANCIAL FRICTIONS

Published online by Cambridge University Press:  30 August 2016

Manoj Atolia ,
John Gibson  and
Milton Marquis
Manoj Atolia
Affiliation:
Florida State University
John Gibson*
Affiliation:
Georgia State University
Milton Marquis
Affiliation:
Florida State University
*
Address correspondence to: John Gibson, Department of Economics, Georgia State University, 14 Marietta St. NW, 5th Floor, Atlanta, GA 30303, USA; e-mail: jgibson25@gsu.edu.
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Abstract

We examine the quantitative significance of financial frictions that reduce firms' access to credit in explaining asymmetric business cycles characterized by disproportionately severe downturns. Using rate spread data to calibrate the severity of these frictions, we successfully match several key features of U.S. data. Specifically, although output and consumption are relatively symmetric (with output being slightly more asymmetric), investment and hours worked display significant asymmetry over the business cycle. We also demonstrate that our financial frictions are capable of significantly amplifying adverse shocks during severe downturns. Although the data suggest that these frictions are only active occasionally, our results indicate that they are still a significant source of macroeconomic volatility over the business cycle.

Keywords

Business Cycle AsymmetryMoral HazardAgency CostsLiquidity ShocksOccasionally Binding Constraints
Type
Articles
Information
Macroeconomic Dynamics , Volume 22 , Issue 2 , March 2018 , pp. 279 - 306
Copyright
Copyright © Cambridge University Press 2016 

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References

REFERENCES

Acemoglu, Daron and Scott, Andrew (1997) Asymmetric business cycles: Theory and time-series evidence. Journal of Monetary Economics 40 (3), 501–533.Google Scholar
Atolia, Manoj, Einarsson, Tor, and Marquis, Milton (2011) Understanding liquidity shortages during severe economic downturns. Journal of Economic Dynamics and Control 35 (3), 330–343.Google Scholar
Caballero, Richard J. and Hammour, Mohamad (1996) On the timing and efficiency of creative destruction. Quarterly Journal of Economics 111 (3), 805–852.Google Scholar
Cordoba, Juan-Carlos and Ripoll, Marla (2004) Credit cycles redux. International Economic Review 45 (4), 1011–1046.Google Scholar
Cui, Wei and Radde, Soren (2013) Search-Based Endogenous Illiquidity. Manuscript, University College London.Google Scholar
Dagher, Jihad C. (2014) Sudden stops, output drops, and credit collapses. Macroeconomic Dynamics 18 (4), 812–837.Google Scholar
Gertler, Mark and Kiyotaki, Nobuhiro (2011) Financial intermediation and credit policy in business cycle analysis. In Friedman, Benjamin M. and Woodford, Michael (eds.), Handbook of Monetary Economics, pp. 547–599. San Diego, CA: Elsevier.Google Scholar
Hamilton, James D. (1989) A new approach to the economic analysis of non-stationary time series and the business cycle. Econometrica 57 (2), 357–384.CrossRefGoogle Scholar
Hansen, Gary D. and Prescott, Edward C. (2005) Capacity constraints, asymmetries, and the business cycle. Review of Economic Dynamics 8 (4), 850–865.CrossRefGoogle Scholar
Heer, Burkhard and Maussner, Alfred (2008) Computation of business cycle models: A comparision of numerical methods . Macroeconomic Dynamics 12 (5), 641–663.Google Scholar
Heer, Burkhard and Maussner, Alfred (2009) Dynamic General Equilibrium Modeling: Computational Methods and Applications, 2nd ed. Heidelberg, Germany: Springer Verlag.Google Scholar
Holmstrom, Bengt and Tirole, Jean (1997) Financial intermediation, loanable funds, and the real sector. Quarterly Journal of Economics 112 (3), 663–691.Google Scholar
Judd, Kenneth L., Maliar, Lilia, and Maliar, Serguei (2011) Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models. Quantitative Economics 2 (2), 173–210.CrossRefGoogle Scholar
Kiyotaki, Nobuhiro and Moore, John (1997) Credit cycles. Journal of Political Economy 105 (2), 211–241.Google Scholar
Kiyotaki, Nobuhiro and Moore, John (2005) Liquidity and asset prices. International Economic Review 46 (2), 317–349.Google Scholar
Kiyotaki, Nobuhiro and Moore, John (2012) Liquidity, Business Cycles, and Monetary Policy. NBER working paper 17934.Google Scholar
Knuppel, Malte (2014) Can capacity constraints explain asymmetries of the business cycle? Macroeconomic Dynamics 18 (1), 65–92.CrossRefGoogle Scholar
Kocherlakota, Narayana R. (2000) Creating business cycles through credit constraints. Federal Reserve Bank of Minneapolis Quarterly Review 24 (3), 2–10.Google Scholar
Li, Shuyun M. and Dressler, Scott (2011) Business cycle asymmetry via occasionally binding international borrowing constraints. Journal of Macroeconomics 33 (1), 33–41.Google Scholar
Maliar, Lilia and Maliar, Serguei (2014) Numerical methods for large-scale dynamic economic models. In Schmedders, Karl and Judd, Kenneth L. (eds.), Handbook of Computational Economics, pp. 325–477. Amsterdam: Elsevier.Google Scholar
McKay, Alisdair and Reis, Ricardo (2008) The brevity and violence of contractions and expansions. Journal of Monetary Economics 55 (4), 738–751.Google Scholar
Mendoza, Enrique G. (2010) Sudden stops, financial crises, and leverage. American Economic Review 100 (5), 1941–1966.Google Scholar
Neftci, Salih N. (1984) Are economic time series asymmetric over the business cycle? Journal of Political Economy 92 (2), 307–328.CrossRefGoogle Scholar
Sichel, Daniel E. (1993) Business cycle asymmetry: A deeper look. Economic Inquiry 31 (2), 224–236.Google Scholar
Tirole, Jean (2006) The Theory of Corporate Finance. Princeton, NJ: Princeton University Press.Google Scholar
Van Nieuwerburgh, Stijn and Veldkamp, Laura (2006) Learning asymmetries in real business cycles. Journal of Monetary Economics 53 (4), 753–772.Google Scholar