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Seven Faces of "The Peril"
15 references·13 citing·49 second hop
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this work references cited by second hop

References

  • 2005INTEREST AND PRICES: FOUNDATIONS OF A THEORY OF MONETARY POLICY5,508 cited
  • 2004Interest and Prices2,583 cited
  • 2001Learning and Expectations in Macroeconomics2,079 cited
  • 2003Zero Bound on Interest Rates and Optimal Monetary Policy1,801 cited
  • 2001Fiscal Requirements for Price Stability883 cited
  • 2003The Zero Bound on Interest Rates and Optimal Monetary Policy854 cited
  • 2002The 1990s in Japan: A Lost Decade822 cited
  • 2001The Perils of Taylor Rules724 cited
  • 2002Avoiding Liquidity Traps380 cited
  • 2011Monetary Policy and the Housing Bubble353 cited
  • 2010Unconventional Monetary Policy Had Large International Effects225 cited
  • 2010Monetary policy and the housing bubble: a speech at the Annual Meeting of the American Economic Association, Atlanta, Georgia, January 3, 2010217 cited
  • 2008Liquidity traps, learning and stagnation121 cited
  • 2005Policy interaction, expectations and the liquidity trap63 cited
  • 2010Twenty Years of Inflation Targeting55 cited

Cited by

  • 2014Liquidity traps and expectation dynamics: Fiscal stimulus or fiscal austerity?

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51 cited
  • 2018Raise Rates to Raise Inflation? Neo‐Fisherianism in the New Keynesian Model43 cited
  • 2014Chronic Deflation in Japan40 cited
  • 2017The Perils of Nominal Targets*39 cited
  • 2016The Risky Steady State and the Interest Rate Lower Bound29 cited
  • 2015Some Unpleasant Properties of Loglinearized Solutions When the Nominal Rate is Zero29 cited
  • 2016Self-fulfilling deflations28 cited
  • 2016Monetary policies to counter the zero interest rate: an overview of research25 cited
  • 2019Endogenous forecast switching near the zero lower bound22 cited
  • 2013Global Dynamics at the Zero Lower Bound18 cited
  • 2018The Neo-Fisherian hypothesis: empirical implications and evidence?15 cited
  • 2014Monetary Policy in the United States: A Brave New World?14 cited
  • 2020When the U.S. catches a cold, Canada sneezes: A lower-bound tale told by deep learning14 cited