IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/72187.html
   My bibliography  Save this paper

Persistence and Amplification of Financial Frictions

Author

Listed:
  • Shirai, Daichi

Abstract

We quantitatively evaluate the various types of working capital loans affected by borrowing constraints using a simple real business cycle model. We explore which borrowing constraints generate persistence and/or amplified output responses to productivity and financial shocks. We find that limiting investment on account of borrowing constraints generates a persistent response to a one-time transitory shock. This finding implies that investment wedge plays an important role in generating persistence. There is a trade-off relationship between persistence and amplification among models and the working capital loan channel does not always generate amplification.

Suggested Citation

  • Shirai, Daichi, 2016. "Persistence and Amplification of Financial Frictions," MPRA Paper 72187, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:72187
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/72187/1/MPRA_paper_72187.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Keiichiro Kobayashi & Daichi Shirai, 2012. "Debt-Ridden Borrowers and Productivity Slowdown," CIGS Working Paper Series 14-005E, The Canon Institute for Global Studies.
    2. Murat Tasci & Andrea Pescatori, 2011. "Search Frictions and the Labor Wedge," IMF Working Papers 11/117, International Monetary Fund.
    3. Francisco J. Buera & Yongseok Shin, 2013. "Financial Frictions and the Persistence of History: A Quantitative Exploration," Journal of Political Economy, University of Chicago Press, vol. 121(2), pages 221-272.
    4. Nutahara, Kengo, 2015. "Do credit market imperfections justify a central bank׳s response to asset price fluctuations?," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 81-94.
    5. Brinca, Pedro, 2014. "Distortions in the neoclassical growth model: A cross-country analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 1-19.
    6. Pintus, Patrick A., 2011. "Collateral constraints and the amplification-persistence trade-off," Economics Letters, Elsevier, vol. 110(1), pages 64-66, January.
    7. John Moore & Nobuhiro Kiyotaki, 2008. "Liquidity, Business Cycles, and Monetary Policy," 2008 Meeting Papers 35, Society for Economic Dynamics.
    8. 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.
    9. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    10. Gertler, M. & Kiyotaki, N. & Prestipino, A., 2016. "Wholesale Banking and Bank Runs in Macroeconomic Modeling of Financial Crises," Handbook of Macroeconomics, Elsevier.
    11. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    12. Benjamin Moll, 2014. "Productivity Losses from Financial Frictions: Can Self-Financing Undo Capital Misallocation?," American Economic Review, American Economic Association, vol. 104(10), pages 3186-3221, October.
    13. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2003. "The Great Depression and the Friedman-Schwartz hypothesis," Proceedings, Federal Reserve Bank of Cleveland, pages 1119-1215.
    14. Francisco J. Buera & Benjamin Moll, 2015. "Aggregate Implications of a Credit Crunch: The Importance of Heterogeneity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(3), pages 1-42, July.
    15. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1403-1448.
    16. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    17. 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.
    18. 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).
    19. Zhen Huo & Jose-Victor Rios-Rull, 2015. "Tightening Financial Frictions on Households, Recessions, and Price Reallocations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 118-139, January.
    20. Kobayashi, Keiichiro & Nakajima, Tomoyuki & Inaba, Masaru, 2012. "Collateral Constraint And News-Driven Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 16(05), pages 752-776, November.
    21. Kobayashi, Keiichiro & Inaba, Masaru, 2006. "Business cycle accounting for the Japanese economy," Japan and the World Economy, Elsevier, vol. 18(4), pages 418-440, December.
    22. Satyajit Chatterjee & Dean Corbae & Makoto Nakajima & José-Víctor Ríos-Rull, 2007. "A Quantitative Theory of Unsecured Consumer Credit with Risk of Default," Econometrica, Econometric Society, vol. 75(6), pages 1525-1589, November.
    23. Nobuhiro Kiyotaki, 1998. "Credit and Business Cycles," The Japanese Economic Review, Japanese Economic Association, vol. 49(1), pages 18-35, March.
    24. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    25. IIBOSHI Hirokuni & MATSUMAE Tatsuyoshi & NISHIYAMA Shin-Ichi, 2014. "Sources of the Great Recession:A Bayesian Approach of a Data-Rich DSGE model with Time-Varying Volatility Shocks," ESRI Discussion paper series 313, Economic and Social Research Institute (ESRI).
    26. Enrique G. Mendoza, 2010. "Sudden Stops, Financial Crises, and Leverage," American Economic Review, American Economic Association, vol. 100(5), pages 1941-1966, December.
    27. Yongsung Chang & Joao F. Gomes & Frank Schorfheide, 2002. "Learning-by-Doing as a Propagation Mechanism," American Economic Review, American Economic Association, vol. 92(5), pages 1498-1520, December.
    28. Simon Gilchrist & Masashi Saito, 2008. "Expectations, Asset Prices, and Monetary Policy: The Role of Learning," NBER Chapters,in: Asset Prices and Monetary Policy, pages 45-102 National Bureau of Economic Research, Inc.
    29. Keisuke Otsu, 2011. "Accounting for Japanese Business Cycles: A Quest for Labor Wedges," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 143-170, November.
    30. Kobayashi, Keiichiro & Shirai, Daichi, 2016. "Heterogeneity And Redistribution In Financial Crises," Macroeconomic Dynamics, Cambridge University Press, vol. 20(06), pages 1527-1549, September.
    31. Virginia Queijo von Heideken, 2009. "How Important are Financial Frictions in the United States and the Euro Area?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(3), pages 567-596, September.
    32. Ellen R. McGrattan & Edward C. Prescott, 2010. "Unmeasured Investment and the Puzzling US Boom in the 1990s," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 88-123, October.
    33. Urban Jermann & Vincenzo Quadrini, 2012. "Macroeconomic Effects of Financial Shocks," American Economic Review, American Economic Association, vol. 102(1), pages 238-271, February.
    34. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    35. Jermann, Urban J. & Quadrini, Vincenzo, 2007. "Stock market boom and the productivity gains of the 1990s," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 413-432, March.
    36. Inaba, Masaru & Nutahara, Kengo, 2009. "The role of investment wedges in the Carlstrom-Fuerst economy and business cycle accounting," Economics Letters, Elsevier, vol. 105(3), pages 200-203, December.
    37. Daichi Shirai, 2014. "A note on hump-shaped output in the RBC model," CIGS Working Paper Series 14-009E, The Canon Institute for Global Studies.
    38. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2014. "Risk Shocks," American Economic Review, American Economic Association, vol. 104(1), pages 27-65, January.
    39. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
    40. Townsend, Robert M., 1979. "Optimal contracts and competitive markets with costly state verification," Journal of Economic Theory, Elsevier, vol. 21(2), pages 265-293, October.
    41. Oliver Hart & John Moore, 1994. "A Theory of Debt Based on the Inalienability of Human Capital," The Quarterly Journal of Economics, Oxford University Press, vol. 109(4), pages 841-879.
    42. Narayana R. Kocherlakota, 2000. "Creating business cycles through credit constraints," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Sum, pages 2-10.
    43. Francisco Buera & Roberto Fattal-Jaef & Yongseok Shin, 2015. "Anatomy of a Credit Crunch: From Capital to Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 101-117, January.
    44. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Financing frictions; Business cycle propagation; Persistence; Business cycle accounting;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

    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:pra:mprapa:72187. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.