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COLLATERAL CONSTRAINT AND NEWS-DRIVEN CYCLES

Published online by Cambridge University Press:  09 January 2012

Keiichiro Kobayashi ,
Tomoyuki Nakajima  and
Masaru Inaba
Keiichiro Kobayashi*
Affiliation:
Hitotsubashi University Canon Institute for Global Studies and Research Institute of Economy, Trade and Industry
Tomoyuki Nakajima
Affiliation:
Institute of Economic Research, Kyoto University
Masaru Inaba
Affiliation:
Canon Institute for Global Studies
*
Address correspondence to: Keiichiro Kobayashi, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8603, Japan; e-mail: [email protected].
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Abstract

We develop business-cycle models with financial constraints, the driving force of which is news about the future (i.e., changes in expectations). We assume that an asset with fixed supply (“land”) is used as collateral, and firms need to hold collateral to finance their input costs. The latter feature introduces an interaction between the inefficiencies in the financial market and in the factor market. Good news raises the price of land today, which relaxes the collateral constraint. It, in turn, reduces the inefficiency in the labor market. If this force is sufficiently strong, the equilibrium labor supply increases. So do output, investment, and consumption. Our models also generate procyclical movement in Tobin's Q. We also show that when the news turns out to be wrong, the economy may fall into a recession.

Keywords

News-Driven CyclesCollateral ConstraintsTobin's QBankruptcies
Type
Articles
Information
Macroeconomic Dynamics , Volume 16 , Issue 5 , November 2012 , pp. 752 - 776
Copyright
Copyright © Cambridge University Press 2012

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References

REFERENCES

Bansal, Ravi and Yaron, Amir (2004) Risks for the long run: A potential resolution of asset pricing puzzles. Journal of Finance 59 (4), 1481–1509.CrossRefGoogle Scholar
Beaudry, Paul and Portier, Franck (2004) An exploration into Pigou's theory of cycles. Journal of Monetary Economics 51 (6), 1183–1216.CrossRefGoogle Scholar
Beaudry, Paul and Portier, Franck (2005) The “news” view of economic fluctuations: Evidence from aggregate Japanese data and sectoral U.S. data. Journal of the Japanese and International Economies 19 (4), 635–652.CrossRefGoogle Scholar
Beaudry, Paul and Portier, Franck (2007) When can changes in expectations cause business cycle fluctuations in neo-classical settings? Journal of Economic Theory 135 (1), 458–477.CrossRefGoogle Scholar
Carlstrom, Charles T. and Fuerst, Timothy S. (1997) Agency costs, net worth, and business fluctuations: A computable general equilibrium analysis. American Economic Review 87 (5), 893–910.Google Scholar
Carlstrom, Charles T. and Fuerst, Timothy S. (1998) Agency costs and business cycles. Economic Theory 12, 583–97.CrossRefGoogle Scholar
Chari, V.V., Patrick, J. Kehoe and McGrattan, Ellen R. (2007) Business cycle accounting. Econometrica 75 (3), 781–836.CrossRefGoogle Scholar
Christiano, Lawrence J. and Fujiwara, Ippei (2006) Bubbles, Excess Investments, Working-Hour Regulation, and the Lost Decade. Working paper series 06–J–8, Bank of Japan.Google Scholar
Christiano, Lawrence J., Motto, Roberto, and Rostagno, Massimo (2007) Monetary Policy and a Stock Market Boom–Bust Cycle. Working paper series 955, European Central Bank.CrossRefGoogle Scholar
Comin, Diego and Gertler, Mark L. (2006) Medium-term business cycles. American Economic Review 96 (3), 523–551.CrossRefGoogle Scholar
CordobaJuan, C. Juan, C. and Ripoll, Marla (2004) Credit cycles redux. International Economic Review 45 (4), 1011–1046.CrossRefGoogle Scholar
DenHaan, Wouter J. Haan, Wouter J. and Kaltenbrunner, Georg (2009) Anticipated growth and business cycles in matching models. Journal of Monetary Economics 56 (3), 309–327.CrossRefGoogle Scholar
Gruber, Jonathan (2006) A Tax-Based Estimate of the Elasticity of Intertemporal Substitution. Working paper 11945, National Bureau of Economic Research.CrossRefGoogle Scholar
Jaimovich, Nir and Rebelo, Sergio (2009) Can news about the future drive the business cycle? American Economic Review 99 (4), 1097–1118.CrossRefGoogle Scholar
Jermann, Urban J. and Quadrini, Vincenzo (2007) Stock market boom and the productivity gains of the 1990s. Journal of Monetary Economics 54, 413–432.CrossRefGoogle Scholar
Kiyotaki, Nobuhiro and Moore, John (1997) Credit cycles. Journal of Political Economy 105 (2), 211–248.CrossRefGoogle Scholar
Lorenzoni, Guido (2009) A theory of demand shocks. American Economic Review 99 (5), 2050–2084.CrossRefGoogle Scholar
Mendoza, Enrique G. (2010) Sudden stops, financial crises and leverage. American Economic Review 100 (5), 1941–1966.CrossRefGoogle Scholar
Mulligan, Casey B. (2002) Capital, Interest, and Aggregate Intertemporal Substitution. Working paper 9373, National Bureau of Economic Research.CrossRefGoogle Scholar
Rotemberg, Julio J. and Woodford, Michael (1995) Dynamic general equilibrium models with imperfectly competitive product markets. In Cooley, Thomas F. (ed.), Frontiers of Business Cycle Research, pp. 243–293. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Stock, James H. and Watson, Mark W. (1999) Business cycle fluctuations in U.S. macroeconomic time series. In John, B. Taylor and Woodford, Micheal (eds.), Handbook of Macroeconomics, Vol.1A, pp. 3–64. Amsterdam: Elsevier-North Holland.CrossRefGoogle Scholar
Uhlig, Harald (1999) A toolkit for analysing nonlinear dynamic stochastic models easily. In Ramon, Marimon and Andrew, Scott (eds.), Computational Methods for the Study of Dynamic Economies, pp. 30–31. Oxford, UK: Oxford University Press.Google Scholar
Vissing-Jorgensen, Annette and Attanasio, Orazio P. (2003) Stock-market participation, intertemporal substitution, and risk aversion. American Economic Review 93 (2), 383–391.CrossRefGoogle Scholar