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Aggregate supply and demand shocks: a natural rate approach

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Arturo Estrella

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Abstract

There is wide agreement that the dynamics of inflation and unemployment are influenced by supply and demand shocks, such as oil price and monetary policy surprises, and by systematic factors such as overlapping contracts. There is less agreement about the relative importance of those determinants. The natural rate model of this paper uses a structural VAR approach to decompose movements in U.S. postwar unemployment and inflation into three orthogonal components. These components correspond, respectively, to systematic or predictable changes, supply shocks, and demand shocks. Orthogonality facilitates the detailed analysis of the individual components. Specifically, supply and demand shocks are shown to be correlated with observable variables in sensible ways, and they are used to analyze and interpret inflation-unemployment tradeoffs and postwar business cycles. In addition, the systematic component of inflation, which is equivalent to a NAIRU gap, is shown to predict changes in inflation reasonably well over a one-year horizon.

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Paper provided by Federal Reserve Bank of New York in its series Research Paper with number 9739.

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Date of creation: 1997
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Handle: RePEc:fip:fednrp:9739

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Related research
Keywords: Supply and demand ; Unemployment ; Inflation (Finance) ; Business cycles;

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  1. Esther Fernández Galar & Javier Gómez Biscarri, 2003. "Revisiting the Ability of Interest Rate Spreads to Predict Recessions: Evidence for a," Faculty Working Papers 04/03, School of Economics and Business Administration, University of Navarra. [Downloadable!]
  2. Nicoletta Batini & Jennifer Greenslade, 2003. "Measuring The UK Short-Run NAIRU," Discussion Papers 12, Monetary Policy Committee Unit, Bank of England. [Downloadable!]
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  3. Arturo Estrella & Frederic Mishkin, 1998. "Rethinking the role of NAIRU in monetary policy: implications of model formulation and uncertainty," Research Paper 9806, Federal Reserve Bank of New York. [Downloadable!]
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