IDEAS home Printed from https://ideas.repec.org/p/red/sed007/320.html
   My bibliography  Save this paper

Collateral constraint and news-driven cycles

Author

Listed:
  • Tomoyuki Nakajima

    (Kyoto University;)

  • Masaru Inaba

    (RIETI)

  • Keiichiro Kobayashi

    (RIETI;)

Abstract

We also show that when the news turns out to be wrong, the economy may fall into a recession, instead of simply jumping back to the initial steady state. This is because, when the good news arrives, borrowers sell their land, since they need less land to achieve the desired value of collateral. When the news turns out to be wrong, the land price goes back to its steady state level, and hence the total value of collateral becomes lower than the steady state level. It follows that the financial constraint becomes tighter, which increases the labor market inefficiency, and reduces labor, output, and so on.

Suggested Citation

  • Tomoyuki Nakajima & Masaru Inaba & Keiichiro Kobayashi, 2007. "Collateral constraint and news-driven cycles," 2007 Meeting Papers 320, Society for Economic Dynamics.
  • Handle: RePEc:red:sed007:320
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Harald Uhlig, 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Discussion Paper / Institute for Empirical Macroeconomics 101, Federal Reserve Bank of Minneapolis.
    2. Casey B. Mulligan, 2002. "Capital, Interest, and Aggregate Intertemporal Substitution," NBER Working Papers 9373, National Bureau of Economic Research, Inc.
    3. 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.
    4. 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.
    5. 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.
    6. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    7. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
    8. 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.
    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. 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.
    11. 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.
    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. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo & Ilut, Cosmin, 2008. "Monetary policy and stock market boom-bust cycles," Working Paper Series 955, European Central Bank.
    14. 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.
    15. 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. 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.
    3. 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.
    4. 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.
    5. Keiichiro Kobayashi & Kengo Nutahara, 2007. "Collateralized capital and news-driven cycles," Economics Bulletin, AccessEcon, vol. 5(18), pages 1-9.
    6. Dupor, Bill & Mehkari, M. Saif, 2014. "The analytics of technology news shocks," Journal of Economic Theory, Elsevier, vol. 153(C), pages 392-427.
    7. Santiago L.E. Acosta Ormaechea, 2007. "A Small Open Economy Model with Currency Mismactches and a Financial Accelerator Mechanism," DEGIT Conference Papers c012_035, DEGIT, Dynamics, Economic Growth, and International Trade.
    8. Karnizova, Lilia, 2010. "The spirit of capitalism and expectation-driven business cycles," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 739-752, September.
    9. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Ellen R. McGrattan, 2010. "Measurement with minimal theory," Quarterly Review, Federal Reserve Bank of Minneapolis, issue July, pages 2-13.
    16. Edda Claus & Iris Claus, 2007. "Transmitting Shocks To The Economy: The Contribution Of Interest And Exchange Rates And The Credit Channel," CAMA Working Papers 2007-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    18. David R.F. Love, 2007. "Aggregate Comovements, Anticipation, and Business Cycles," Working Papers 0704, Brock University, Department of Economics, revised Jun 2007.
    19. Chakraborty, Suparna, 2006. "Amplifying Business Cycles through Credit Constraints," MPRA Paper 1808, University Library of Munich, Germany.
    20. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.

    More about this item

    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:red:sed007:320. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.