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Conventional Monetary Policy Transmission During Financial Crises: An Empirical Analysis

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  • Tatjana Dahlhaus

Abstract

This paper studies the effects of a conventional monetary policy shock in the USA during times of high financial stress. The analysis is carried out by introducing a smooth transition factor model where the transition between states (‘normal’ and high financial stress) depends on a financial conditions index. Employing a quarterly dataset over the period 1970:Q1 to 2008:Q4 containing 108 US macroeconomic and financial time series, I find that a monetary policy shock during periods of high financial stress has stronger and more persistent effects on macroeconomic variables such as output, consumption and investment than it has during ‘normal’ times. Differences in effects among the regimes seem to originate from nonlinearities in both components of the credit channel, i.e. the balance sheet channel and the bank‐lending channel. Copyright © 2016 John Wiley & Sons, Ltd.

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  • Tatjana Dahlhaus, 2017. "Conventional Monetary Policy Transmission During Financial Crises: An Empirical Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 401-421, March.
  • Handle: RePEc:wly:japmet:v:32:y:2017:i:2:p:401-421
    DOI: 10.1002/jae.2524
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    Cited by:

    1. Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
    2. Massimo Guidolin & Valentina Massagli & Manuela Pedio, 2021. "Does the cost of private debt respond to monetary policy? Heteroskedasticity-based identification in a model with regimes," The European Journal of Finance, Taylor & Francis Journals, vol. 27(18), pages 1804-1833, December.
    3. Ana Beatriz Galvão & Michael T. Owyang, 2018. "Financial Stress Regimes and the Macroeconomy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1479-1505, October.
    4. Stona, Filipe & Morais, Igor A.C. & Triches, Divanildo, 2018. "Economic dynamics during periods of financial stress: Evidences from Brazil," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 130-144.
    5. Salomon Fiedler & Isabel Hanisch & Dr. Nils Jannsen Hanisch & Prof. Dr. Maik Wolters, 2017. "Effectiveness of Unconventional Monetary Policy in the Euro Area: An Assessment Based on a Literature Survey," Credit and Capital Markets, Credit and Capital Markets, vol. 50(4), pages 455-488.
    6. Joscha Beckmann & Klaus-Jürgen Gern & Nils Jannsen, 2022. "Should they stay or should they go? Negative interest rate policies under review," International Economics and Economic Policy, Springer, vol. 19(4), pages 885-912, October.
    7. Claudio Borio & Boris Hofmann, 2017. "Is Monetary Policy Less Effective When Interest Rates Are Persistently Low?," RBA Annual Conference Volume (Discontinued), in: Jonathan Hambur & John Simon (ed.),Monetary Policy and Financial Stability in a World of Low Interest Rates, Reserve Bank of Australia.
    8. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.
    9. José Pedro Bastos Neves & Willi Semmler, 2022. "Credit, output and financial stress: A non‐linear LVSTAR application to Brazil," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 900-923, July.
    10. Kaelo Mpho Ntwaepelo, 2021. "The Effects of Macroprudential and Monetary Policy Shocks in BRICS economies," Economics Discussion Papers em-dp2021-20, Department of Economics, University of Reading.
    11. Aleh Mazol, 2019. "The Influence of Financial Stress on Economic Activity and Monetary Policy in Belarus," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 49-75, June.
    12. Haddou, Samira, 2022. "International financial stress spillovers to bank lending: Do internal characteristics matter?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    13. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    14. Kapur, Muneesh, 2018. "Macroeconomic Policies and Transmission Dynamics in India," MPRA Paper 88566, University Library of Munich, Germany.
    15. Min, Feng & Wen, Fenghua & Wang, Xiong, 2022. "Measuring the effects of monetary and fiscal policy shocks on domestic investment in China," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 395-412.
    16. Herwartz, Helmut & Rohloff, Hannes, 2018. "Less bang for the buck? Assessing the role of inflation uncertainty for U.S. monetary policy transmission in a data rich environment," University of Göttingen Working Papers in Economics 358, University of Goettingen, Department of Economics.
    17. Hesse, Henning & Hofmann, Boris & Weber, James Michael, 2018. "The macroeconomic effects of asset purchases revisited," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 115-138.
    18. Fiedler, Salomon & Gern, Klaus-Jürgen & Jannsen, Nils & Wolters, Maik H., 2019. "Growth prospects, the natural interest rate, and monetary policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-34.
    19. Shuanglian Chen & Gaoke Liao & Benjamin M. Drakeford & Pierre Failler, 2019. "The Non-Linear Effect of Financial Support on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    20. Martin Ademmer & Nils Jannsen, 2018. "Post-crisis business investment in the euro area and the role of monetary policy," Applied Economics, Taylor & Francis Journals, vol. 50(34-35), pages 3787-3797, July.

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