IDEAS home Printed from https://ideas.repec.org/p/spa/wpaper/2012wpecon04.html
   My bibliography  Save this paper

A Termometer for Macroprudential Policies

Author

Listed:
  • Fabio Kanczuk

Abstract

We write model that considers both households’ and firms’ credit frictions. Firms’ credit is modeled by the traditional financial accelerator à la Bernanke et al (1999). Households that borrow funds face interest rates that increase with their debt, as in Curdia and Woodford (2010). We estimate the model using Brazilian data, use it to study recent crisis episodes, and validate the finance premia (distilled from non-financial data) with available credit information. We then propose that the model can be used as a termometer to evaluate how prudential credit measures affect growth and inflation.

Suggested Citation

  • Fabio Kanczuk, 2012. "A Termometer for Macroprudential Policies," Working Papers, Department of Economics 2012_04, University of São Paulo (FEA-USP).
    • Handle: RePEc:spa:wpaper:2012wpecon04
    as

    Download full text from publisher

    File URL: http://www.repec.eae.fea.usp.br/documentos/Kanczuk04WP.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    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. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    2. Ravn, Søren Hove, 2016. "Endogenous credit standards and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 89-111.
    3. Homburg, Stefan, 2017. "A Study in Monetary Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198807537, Decembrie.
    4. Kanczuk, Fabio, 2013. "Um Termômetro para as Macro-Prudenciais," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    5. Suarez, Javier & Martinez-Miera, David, 2012. "A Macroeconomic Model of Endogenous Systemic Risk Taking," CEPR Discussion Papers 9134, C.E.P.R. Discussion Papers.
    6. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    7. Kame Babilla, Thierry U., 2023. "Digital innovation and financial access for small and medium-sized enterprises in a currency union," Economic Modelling, Elsevier, vol. 120(C).
    8. repec:fgv:epgrbe:v:67:n:4:a:5 is not listed on IDEAS
    9. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    10. Hollander, Hylton & Liu, Guangling, 2016. "Credit spread variability in the U.S. business cycle: The Great Moderation versus the Great Recession," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 37-52.
    11. Mariarosaria Comunale, 2017. "Synchronicity of real and financial cycles and structural characteristics in EU countries," CEIS Research Paper 414, Tor Vergata University, CEIS, revised 25 Sep 2017.
    12. Mădălin Viziniuc, 2017. "Potential Gains from Cooperation Between Monetary and Macroprudential Policies: The Case of an Emerging Economy," Eastern European Economics, Taylor & Francis Journals, vol. 55(5), pages 420-452, September.
    13. Sami Alpanda & Hyunji Song & Sarah Zubairy, 2021. "Household Debt and the Effects of Fiscal Policy," Working Papers 20210928-001, Texas A&M University, Department of Economics.
    14. Vlieghe, Gertjan W, 2007. "Imperfect credit markets: implications for monetary policy," MPRA Paper 12957, University Library of Munich, Germany.
    15. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    16. Yépez, Carlos A., 2018. "Financial intermediation and real estate prices impact on business cycles: A Bayesian analysis," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 138-160.
    17. Paul Welfens, 2014. "Issues of modern macroeconomics: new post-crisis perspectives on the world economy," International Economics and Economic Policy, Springer, vol. 11(4), pages 481-527, December.
    18. Romain Houssa & Jolan Mohimont & Chris Otrok, 2019. "A model for international spillovers to emerging markets," Working Paper Research 370, National Bank of Belgium.
    19. John B. Taylor & Volker Wieland, 2012. "Surprising Comparative Properties of Monetary Models: Results from a New Model Database," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 800-816, August.
    20. Vo Le & Kent Matthews & David Meenagh & Patrick Minford & Zhiguo Xiao, 2014. "Banking and the Macroeconomy in China: A Banking Crisis Deferred?," Open Economies Review, Springer, vol. 25(1), pages 123-161, February.
    21. Schünemann, Johannes & Trimborn, Timo, 2023. "Boosting taxes for boasting about houses? Status concerns in the housing market," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 120-143.
    22. Jonathan Benchimol & Caroline Bozou, 2022. "Desirable Banking Competition and Stability," Bank of Israel Working Papers 2022.18, Bank of Israel.

    More about this item

    Keywords

    DSGE; financial frictions; emerging markets; subprime crisis;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:spa:wpaper:2012wpecon04. 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: Pedro Garcia Duarte (email available below). General contact details of provider: https://edirc.repec.org/data/deuspbr.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.