IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/375.html
   My bibliography  Save this paper

Household borrowing constraints and monetary policy in emerging economies

Author

Listed:
  • Arruda, Gustavo
  • Lima, Daniela Cunha de
  • Teles, Vladimir Kuhl

Abstract

Credit markets in emerging economies can be distinguished from those in advanced economies in many respects, including the collateral required for households to borrow. This work proposes a DSGE framework to analyze one peculiarity that characterizes the credit markets of some emerging markets: payroll-deducted personal loans. We add the possibility for households to contract long-term debt and compare two different types of credit constraints with one another, one based on housing and the other based on future income. We estimate the model for Brazil using a Bayesian technique. The model is able to solve a puzzle of the Brazilian economy: responses to monetary shocks at first appear to be strong but dissipate quickly. This occurs because income – and the amount available for loans – responds more rapidly to monetary shocks than housing prices. To smooth consumption, agents (borrowers) compensate for lower income and for borrowing by working more hours to repay loans and erase debt in a shorter time. Therefore, in addition to the income and substitution effects, workers consider the effects on their credit constraints when deciding how much labor to supply, which becomes an additional channel through which financial frictions affect the economy.

Suggested Citation

  • Arruda, Gustavo & Lima, Daniela Cunha de & Teles, Vladimir Kuhl, 2015. "Household borrowing constraints and monetary policy in emerging economies," Textos para discussão 375, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  • Handle: RePEc:fgv:eesptd:375
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/bf47f9c4-67f8-485e-9faf-88275e2d9936/download
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alessandro Calza & Tommaso Monacelli & Livio Stracca, 2013. "Housing Finance And Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 11, pages 101-122, January.
    2. Javier Andrés & Oscar Arce, 2012. "Banking Competition, Housing Prices and Macroeconomic Stability," Economic Journal, Royal Economic Society, vol. 122(565), pages 1346-1372, December.
    3. 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.
    4. Sebastian Edwards & Márcio G. P. Garcia, 2008. "Financial Markets Volatility and Performance in Emerging Markets," NBER Books, National Bureau of Economic Research, Inc, number edwa05-1.
    5. Fabia Carvalho & Fabia A. de Carvalho & Silvio Michael de Azevedo Costa & Marcos Ribeiro de Castro, 2013. "Traditional and matter-of-fact financial frictions in a DSGE model for Brazil: the role of macroprudential instruments and monetary policy," EcoMod2013 5145, EcoMod.
    6. Carlos Carvalho & Nilda Pasca & Laura Souza & Eduardo Zilberman, 2023. "Macroeconomic Effects of Credit Deepening in Latin America," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1817-1855, October.
    7. Gertler, Mark & Kiyotaki, Nobuhiro, 2010. "Financial Intermediation and Credit Policy in Business Cycle Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 11, pages 547-599, Elsevier.
    8. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    9. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    10. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    11. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    12. Vasco Cúrdia & Michael Woodford, 2010. "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 3-35, September.
    13. Ana Carla A. Costa & João M. P. De Mello, 2008. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazilian Payroll Loans," NBER Chapters, in: Financial Markets Volatility and Performance in Emerging Markets, pages 155-184, National Bureau of Economic Research, Inc.
    14. Castro, Marcos R. de & Gouvea, Solange N. & Minella, Andre & Santos, Rafael & Souza-Sobrinho, Nelson F., 2015. "SAMBA: Stochastic Analytical Model with a Bayesian Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
    15. Goodfriend, Marvin & McCallum, Bennett T., 2007. "Banking and interest rates in monetary policy analysis: A quantitative exploration," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1480-1507, July.
    16. Editors The, 2008. "From the Editors," Basic Income Studies, De Gruyter, vol. 3(1), pages 1-1, July.
    17. Edwards, Sebastian & Garcia, Márcio G (ed.), 2008. "Financial Markets Volatility and Performance in Emerging Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226184951, September.
    18. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    19. 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)

    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. Michał Brzoza‐Brzezina & Marcin Kolasa, 2013. "Bayesian Evaluation of DSGE Models with Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1451-1476, December.
    2. 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.
    3. Gerke, R. & Jonsson, M. & Kliem, M. & Kolasa, M. & Lafourcade, P. & Locarno, A. & Makarski, K. & McAdam, P., 2013. "Assessing macro-financial linkages: A model comparison exercise," Economic Modelling, Elsevier, vol. 31(C), pages 253-264.
    4. Giri, Federico, 2018. "Does interbank market matter for business cycle fluctuation? An estimated DSGE model with financial frictions for the Euro area," Economic Modelling, Elsevier, vol. 75(C), pages 10-22.
    5. Beck, Thorsten & Colciago, Andrea & Pfajfar, Damjan, 2014. "The role of financial intermediaries in monetary policy transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 1-11.
    6. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    7. Dominic Quint & Pau Rabanal, 2014. "Monetary and Macroprudential Policy in an Estimated DSGE Model of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 169-236, June.
    8. Kirchner Philipp, 2020. "On Shadow Banking and Financial Frictions in DSGE Modeling," Review of Economics, De Gruyter, vol. 71(2), pages 101-133, August.
    9. F. Verona & M. M. F. Martins & I. Drumond, 2013. "(Un)anticipated Monetary Policy in a DSGE Model with a Shadow Banking System," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 78-124, September.
    10. Blattner Tobias S. & Swarbrick Jonathan M., 2021. "Monetary Policy and Cross-Border Interbank Market Fragmentation: Lessons from the Crisis," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 323-368, January.
    11. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2013. "The anatomy of standard DSGE models with financial frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 32-51.
    12. Carlos Carvalho & Nilda Pasca & Laura Souza & Eduardo Zilberman, 2023. "Macroeconomic Effects of Credit Deepening in Latin America," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1817-1855, October.
    13. Philipp Kirchner, 2020. "On shadow banking and fiÂ…nancial frictions in DSGE modeling," MAGKS Papers on Economics 202019, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    15. Cúrdia, Vasco & Woodford, Michael, 2016. "Credit Frictions and Optimal Monetary Policy," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 30-65.
    16. Fabio Verona & Manuel M. F. Martins & Inês Drumond, 2014. "Financial Shocks and Optimal Monetary Policy Rules," CEF.UP Working Papers 1402, Universidade do Porto, Faculdade de Economia do Porto.
    17. Sebastiaan Pool, 2016. "Credit Defaults, Bank Lending and the Real Economy," DNB Working Papers 518, Netherlands Central Bank, Research Department.
    18. Verona, Fabio & Martins, Manuel M.F. & Drumond, Inês, 2017. "Financial shocks, financial stability, and optimal Taylor rules," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 187-207.
    19. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    20. Kühl, Michael, 2014. "Mitigating financial stress in a bank-financed economy: Equity injections into banks or purchases of assets?," Discussion Papers 19/2014, Deutsche Bundesbank.
    21. Carlos Viana de Carvalho & Eduardo Zilberman & Laura Candido de Souza & Nilda Mercedes Cabrera Pasca, 2014. "Macroeconomic Effects of Credit Deepening in Latin America," Textos para discussão 629, Department of Economics PUC-Rio (Brazil).

    More about this item

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    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:fgv:eesptd:375. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.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.