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Credit Market Imperfections and Business Cycle Dynamics: A Nonlinear Approach

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  • Atanasova Christina

    () (Leeds University Business School)

Abstract

Linear Vector Autoregression (VAR) models provide a useful starting point for analysing multivariate relationships between economic variables. They are frequently used for empirical macroeconomic modelling, policy analysis and forecasting. However, linear VAR systems fail to capture non-linear dynamics such as regime switching and asymmetric responses to shocks, suggested by the recent theoretical developments in macroeconomic research. In addition, an increasing body of empirical evidence suggests that the linear conditional expectations implied by standard VAR models do not always accord with the observed facts. For example, a significant number of empirical studies document asymmetries in the effects of monetary policy on output growth. This paper employs a more general nonlinear VAR methodology to re-examine previous findings that credit market conditions contribute to economic fluctuations as a propagator of shocks. Unlike linear projections it allows for nonlinear dynamics and asymmetric effects of shocks. We estimate a threshold vector autoregression (TVAR), in which the system's dynamics change back and forth between credit constrained and unconstrained regimes. Using generalised impulse response functions (GIRF) generated from the estimated nonlinear model, we examine the real effects of monetary policy. We find evidence of asymmetry in the effects of monetary policy in the credit constrained and unconstrained regimes as well as different output effects of monetary contractions and expansions.

Suggested Citation

  • Atanasova Christina, 2003. "Credit Market Imperfections and Business Cycle Dynamics: A Nonlinear Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-22, December.
  • Handle: RePEc:bpj:sndecm:v:7:y:2003:i:4:n:5
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    References listed on IDEAS

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    1. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148 Elsevier.
    2. Galbraith, John W. & Tkacz, Greg, 2000. "Testing for asymmetry in the link between the yield spread and output in the G-7 countries," Journal of International Money and Finance, Elsevier, vol. 19(5), pages 657-672, October.
    3. Martin, Christopher, 1990. "Corporate Borrowing and Credit Constraints: Structural Disequilibrium Estimates for the U.K," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 78-86, February.
    4. Peersman, Gert & Smets, Frank, 2001. "Are the effects of monetary policy in the euro area greater in recessions than in booms?," Working Paper Series 0052, European Central Bank.
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    Citations

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    Cited by:

    1. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    2. Serwa, Dobromil, 2010. "Larger crises cost more: Impact of banking sector instability on output growth," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1463-1481, December.
    3. Hulsewig, Oliver & Mayer, Eric & Wollmershauser, Timo, 2006. "Bank loan supply and monetary policy transmission in Germany: An assessment based on matching impulse responses," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2893-2910, October.
    4. Kolcunova, Dominika & Havranek, Tomas, 2018. "Estimating the Effective Lower Bound for the Czech National Bank's Policy Rate," MPRA Paper 84725, University Library of Munich, Germany.
    5. Leonardo Gambacorta & Carlotta Rossi, 2010. "Modelling bank lending in the euro area: a nonlinear approach," Applied Financial Economics, Taylor & Francis Journals, vol. 20(14), pages 1099-1112.
    6. Halvorsen, Jørn I. & Jacobsen, Dag Henning, 2016. "The bank-lending channel empirically revisited," Journal of Financial Stability, Elsevier, vol. 27(C), pages 95-105.
    7. JdD Tena & E. Otranto, 2008. "A Realistic Model for Official Interest Rates," Working Paper CRENoS 200802, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    8. Tena, Juan de Dios & Tremayne, A.R., 2009. "Modelling monetary transmission in UK manufacturing industry," Economic Modelling, Elsevier, vol. 26(5), pages 1053-1066, September.
    9. Kameda, Keigo, 2014. "What causes changes in the effects of fiscal policy? A case study of Japan," Japan and the World Economy, Elsevier, vol. 31(C), pages 14-31.
    10. Kierzenkowski, R. & Oung, V., 2007. "L’évolution des crédits à l’habitat en France : une grille d’analyse en termes de cycles," Working papers 172, Banque de France.
    11. Baum, Anja & Koester, Gerrit B., 2011. "The impact of fiscal policy on economic activity over the business cycle - evidence from a threshold VAR analysis," Discussion Paper Series 1: Economic Studies 2011,03, Deutsche Bundesbank.
    12. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.

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