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Yield curve in an estimated nonlinear macro model

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Taeyoung Doh

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Abstract

What moves the yield curve? This paper specifies and estimates a dynamic stochastic general equilibrium (DSGE) model solved using a second order approximation to equilibrium conditions to answer this question. From the empirical analysis of U.S. data from 1983:Q1 to 2007:Q4, I find that the monetary policy response to the inflation gap defined by the difference between expected inflation and the inflation target of the central bank is a key channel transmitting macro shocks to the yield curve and that the degree of nominal rigidity determines which macro shocks are more important determinants of the yield curve. With the low degree of nominal rigidity, the inflation target of the central bank drives persistent movements of inflation and the yield curve while fluctuations of markups do so with the high degree of nominal rigidity. Although the estimated linear model puts nearly zero probability on the low degree of nominal rigidity, there is a positive probability mass in the nonlinear model. The analysis in this paper suggests caution on interpreting estimation results in which nonlinear terms of the DSGE model solution are ignored.

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Paper provided by Federal Reserve Bank of Kansas City in its series Research Working Paper with number RWP 09-04.

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Date of creation: 2009
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Handle: RePEc:fip:fedkrw:rwp09-04

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  1. Yongsung Chang & Jay H. Hong, 2006. "Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment?," American Economic Review, American Economic Association, vol. 96(1), pages 352-368, March. [Downloadable!]
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  2. Kozicki, Sharon & Tinsley, P.A., 2005. "Permanent and transitory policy shocks in an empirical macro model with asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1985-2015, November. [Downloadable!] (restricted)
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  3. Ravenna , Federico & Seppälä , Juha, 2006. "Monetary policy and rejections of the expectations hypothesis," Research Discussion Papers 25/2006, Bank of Finland. [Downloadable!]
  4. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, 09. [Downloadable!] (restricted)
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  5. Thomas Lubik & Frank Schorfheide, 2005. "A Bayesian Look at New Open Economy Macroeconomics," Economics Working Paper Archive 521, The Johns Hopkins University,Department of Economics. [Downloadable!]
  6. Rudebusch, Glenn D. & Swanson, Eric T., 2008. "Examining the bond premium puzzle with a DSGE model," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages S111-S126, October. [Downloadable!] (restricted)
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  7. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October. [Downloadable!] (restricted)
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  8. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Manuel S. Santos, 2006. "Convergence Properties of the Likelihood of Computed Dynamic Models," Econometrica, Econometric Society, vol. 74(1), pages 93-119, 01. [Downloadable!] (restricted)
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  9. Peter Hördahl & Oreste Tristani & David Vestin, 2008. "The Yield Curve and Macroeconomic Dynamics," Economic Journal, Royal Economic Society, vol. 118(533), pages 1937-1970, November. [Downloadable!] (restricted)
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  10. Bekaert, Geert & Cho, Seonghoon & Moreno, Antonio, 2006. "New-Keynesian Macroeconomics and the Term Structure," CEPR Discussion Papers 5956, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  11. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor and Francis Journals, vol. 26(2-4), pages 113-172. [Downloadable!] (restricted)
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  12. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September. [Downloadable!] (restricted)
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