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Yield curve in an estimated nonlinear macro model

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  • Taeyoung Doh

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.

Suggested Citation

  • Taeyoung Doh, 2009. "Yield curve in an estimated nonlinear macro model," Research Working Paper RWP 09-04, Federal Reserve Bank of Kansas City.
  • Handle: RePEc:fip:fedkrw:rwp09-04
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    Cited by:

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    3. Stephen Morris, 2014. "The Statistical Implications of Common Identifying Restrictions for DSGE Models," 2014 Meeting Papers 738, Society for Economic Dynamics.
    4. 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 111-126, October.
    5. Amisano, Gianni & Tristani, Oreste, 2019. "Uncertainty shocks, monetary policy and long-term interest rates," Working Paper Series 2279, European Central Bank.
    6. Roman Horvath & Lorant Kaszab & Ales Marsal, 2022. "Interest rate rules and inflation risks in a macro‐finance model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(4), pages 416-440, September.
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    9. van der Wel, M., 2020. "Connecting Silos : On linking macroeconomics and finance, and the role of econometrics therein," ERIM Inaugural Address Series Research in Management 124748, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    10. Grzegorz Wesoƚowski, 2018. "Do long-term interest rates drive GDP and inflation in small open economies? Evidence from Poland," Applied Economics, Taylor & Francis Journals, vol. 50(57), pages 6174-6192, December.
    11. Glenn D. Rudebusch, 2010. "Macro‐Finance Models Of Interest Rates And The Economy," Manchester School, University of Manchester, vol. 78(s1), pages 25-52, September.
    12. João Frois Caldeira & Rangan Gupta & Muhammad Tahir Suleman & Hudson S. Torrent, 2021. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4312-4329, December.
    13. Hou, Keqiang & Li, Xing & Li, Zeguang & Wu, Ting, 2021. "Forecasting bond returns in a macro model," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 524-545.
    14. van Binsbergen, Jules H. & Fernández-Villaverde, Jesús & Koijen, Ralph S.J. & Rubio-Ramírez, Juan, 2012. "The term structure of interest rates in a DSGE model with recursive preferences," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 634-648.
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    16. Challe, Edouard & Giannitsarou, Chryssi, 2014. "Stock prices and monetary policy shocks: A general equilibrium approach," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 46-66.
    17. Sergey Ivashchenko, 2014. "Forecasting in a Non-Linear DSGE Model," EUSP Department of Economics Working Paper Series Ec-02/14, European University at St. Petersburg, Department of Economics.
    18. Virginia Queijo von Heideken & Ferre De Graeve, 2012. "Fiscal policy in contemporary DSGE models," 2012 Meeting Papers 74, Society for Economic Dynamics.
    19. Ian Dew‐Becker, 2014. "Bond Pricing with a Time‐Varying Price of Risk in an Estimated Medium‐Scale Bayesian DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(5), pages 837-888, August.
    20. Hall, Jamie, 2012. "Consumption dynamics in general equilibrium," MPRA Paper 43933, University Library of Munich, Germany.
    21. Roman Sustek, 2021. "Rigid High Street, Flexible Wall Street," Discussion Papers 2122, Centre for Macroeconomics (CFM).
    22. Apostolou, Barbara & Apostolou, Nicholas G. & Dorminey, Jack W., 2014. "The association of departures from spending rate equilibrium to municipal borrowing cost," Advances in accounting, Elsevier, vol. 30(1), pages 1-8.
    23. Den Haan, Wouter J. & De Wind, Joris, 2012. "Nonlinear and stable perturbation-based approximations," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1477-1497.
    24. Andreasen, Martin M., 2011. "Non-linear DSGE models and the optimized central difference particle filter," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1671-1695, October.

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