IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/07013.html
   My bibliography  Save this paper

Collateral Constraint and News-driven Cycles

Author

Listed:
  • KOBAYASHI Keiichiro
  • NAKAJIMA Tomoyuki
  • INABA Masaru

Abstract

The boom-bust cycles such as the episode of the "Internet bubble" in the late 1990s may be described as the business cycle driven by changes in expectations or news about the future. The comovements in consumption, labor, and investment, in response to news about productivity changes in the future can be called the news-driven cycles. We show that with the assumption that firms are subject to the collateral constraint in financing input costs, a fairly standard Real Business Cycle model can generate the news-driven cycles. The collateral constraint models have several virtues: (1) The model structure is simple; (2) introduction of the intermediate input enables our models to reproduce procyclical movements in the total factor productivity; (3) our models can generate procyclical movements in price of capital (Tobin's q); and (4) the second model in our paper, which is a modified version of the Carlstrom-Fuerst model, can generate countercyclical movements in bankruptcies, while the original Carlstrom-Fuerst model cannot.

Suggested Citation

  • KOBAYASHI Keiichiro & NAKAJIMA Tomoyuki & INABA Masaru, 2007. "Collateral Constraint and News-driven Cycles," Discussion papers 07013, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:07013
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/07e013.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Casey B. Mulligan, 2002. "Capital, Interest, and Aggregate Intertemporal Substitution," NBER Working Papers 9373, National Bureau of Economic Research, Inc.
    2. Enrique G. Mendoza, 2006. "Endogenous Sudden Stops in a Business Cycle Model with Collateral Constraints:A Fisherian Deflation of Tobin's Q," NBER Working Papers 12564, National Bureau of Economic Research, Inc.
    3. Juan-Carlos Cordoba & Marla Ripoll, 2004. "Credit Cycles Redux," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(4), pages 1011-1046, November.
    4. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
    5. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    6. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    7. Uhlig, H.F.H.V.S., 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Discussion Paper 1995-97, Tilburg University, Center for Economic Research.
    8. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo & Ilut, Cosmin, 2008. "Monetary policy and stock market boom-bust cycles," Working Paper Series 955, European Central Bank.
    9. Beaudry, Paul & Portier, Franck, 2007. "When can changes in expectations cause business cycle fluctuations in neo-classical settings?," Journal of Economic Theory, Elsevier, vol. 135(1), pages 458-477, July.
    10. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    11. Timothy S. Fuerst & Charles T. Carlstrom, 1998. "Agency costs and business cycles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 12(3), pages 583-597.
    12. Beaudry, Paul & Portier, Franck, 2005. "The "news view" of economic fluctuations: Evidence from aggregate Japanese data and sectoral US data," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 635-652, December.
    13. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
    14. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Kaiji & Song, Zheng, 2013. "Financial frictions on capital allocation: A transmission mechanism of TFP fluctuations," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 683-703.
    2. 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.
    3. Guo, Jang-Ting & Sirbu, Anca-Ioana & Weder, Mark, 2015. "News about aggregate demand and the business cycle," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 83-96.
    4. Karnizova, Lilia, 2010. "The spirit of capitalism and expectation-driven business cycles," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 739-752, September.
    5. Paul Beaudry & Martial Dupaigne & Franck Portier, 2011. "Modeling News-Driven International Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 72-91, January.
    6. Kobayashi Keiichiro & Nutahara Kengo, 2010. "Nominal Rigidities, News-Driven Business Cycles, and Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-26, September.
    7. Dupor, Bill & Mehkari, M. Saif, 2014. "The analytics of technology news shocks," Journal of Economic Theory, Elsevier, vol. 153(C), pages 392-427.
    8. Munechika Katayama & Kwang Hwan Kim, 2018. "Intersectoral Labor Immobility, Sectoral Comovement, and News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 77-114, February.
    9. Christoph Gortz & John D. Tsoukalas, 2013. "Learning, Capital Embodied Technology and Aggregate Fluctuations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(4), pages 708-723, October.
    10. Stéphane Auray & Paul Gomme & Shen Guo, 2013. "Nominal Rigidities, Monetary Policy and Pigou Cycles," Economic Journal, Royal Economic Society, vol. 0, pages 455-473, May.
    11. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    12. David R.F. Love, 2007. "Aggregate Comovements, Anticipation, and Business Cycles," Working Papers 0704, Brock University, Department of Economics, revised Jun 2007.
    13. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.
    14. Kuan‐Jen Chen & Ching‐Chong Lai, 2015. "On‐the‐Job Learning and News‐Driven Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 261-294, March.
    15. INABA Masaru & KOBAYASHI Keiichiro, 2009. "Quantitative Significance of Collateral Constraints as an Amplification Mechanism," Discussion papers 09035, Research Institute of Economy, Trade and Industry (RIETI).
    16. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    17. Den Haan, Wouter J. & Kaltenbrunner, Georg, 2009. "Anticipated growth and business cycles in matching models," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 309-327, April.
    18. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    19. Chen, Kaiji & Song, Zheng, 2007. "Financial Friction, Capital Reallocation and Expectation-Driven Business Cycles," MPRA Paper 3889, University Library of Munich, Germany.
    20. Stefan Avdjiev, 2016. "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 181-197, April.

    More about this item

    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:eti:dpaper:07013. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.