IDEAS home Printed from https://ideas.repec.org/p/rut/rutres/200505.html
   My bibliography  Save this paper

Estimation and Evaluation of a Segmented Markets Monetary Model

Author

Listed:
  • John Landon-Lane

    (Rutgers University)

  • Filippo Occhino

    (Rutgers University)

Abstract

This paper develops a heterogeneous agents segmented markets model with endogenous production and a monetary authority that follows a Taylor-type interest rate rule. The model is estimated using Markov chain Monte Carlo techniques and is evaluated as a framework suitable for empirical monetary analysis. We find that the segmented markets friction significantly improves the statistical out-of-sample prediction performance of the model, and generates delayed and realistic impulse response functions to monetary policy shocks. In addition, we find that the estimates of the Taylor rule are stable across the pre-1979 and post-1982 periods in our sample, while the volatilities of the structural shocks faced in the pre-1979 period are substantially higher than in the post-1982 period.

Suggested Citation

  • John Landon-Lane & Filippo Occhino, 2005. "Estimation and Evaluation of a Segmented Markets Monetary Model," Departmental Working Papers 200505, Rutgers University, Department of Economics.
    • Handle: RePEc:rut:rutres:200505
    as

    Download full text from publisher

    File URL: http://www.sas.rutgers.edu/virtual/snde/wp/2005-05.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    2. Cooley, Thomas F & Hansen, Gary D, 1989. "The Inflation Tax in a Real Business Cycle Model," American Economic Review, American Economic Association, vol. 79(4), pages 733-748, September.
    3. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    4. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    5. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    6. Jordi Galí & J. David López-Salido, 2003. "Rule-of-Thumb Consumers and the Design of Interest Rate Rules," Working Papers 104, Barcelona School of Economics.
    7. repec:pri:cepsud:110sims is not listed on IDEAS
    8. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
    9. Lahiri, Amartya & Singh, Rajesh & Vegh, Carlos, 2007. "Segmented asset markets and optimal exchange rate regimes," Journal of International Economics, Elsevier, vol. 72(1), pages 1-21, May.
    10. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    11. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Liquidity Effects and the Monetary Transmission Mechanism," American Economic Review, American Economic Association, vol. 82(2), pages 346-353, May.
    12. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-450, June.
    13. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    14. Fuerst, Timothy S., 1992. "Liquidity, loanable funds, and real activity," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 3-24, February.
    15. Grossman, Sanford & Weiss, Laurence, 1983. "A Transactions-Based Model of the Monetary Transmission Mechanism," American Economic Review, American Economic Association, vol. 73(5), pages 871-880, December.
    16. Bilbiie, Florin O., 2004. "The great inflation, limited asset markets participation and aggregate demand: FED policy was better than you think," Working Paper Series 408, European Central Bank.
    17. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    18. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    19. Rotemberg, Julio J, 1984. "A Monetary Equilibrium Model with Transactions Costs," Journal of Political Economy, University of Chicago Press, vol. 92(1), pages 40-58, February.
    20. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    21. Fernando Alvarez & Andrew Atkeson & Patrick J. Kehoe, 2002. "Money, Interest Rates, and Exchange Rates with Endogenously Segmented Markets," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 73-112, February.
    22. John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.
    23. Lucas, Robert Jr., 1990. "Liquidity and interest rates," Journal of Economic Theory, Elsevier, vol. 50(2), pages 237-264, April.
    24. Fernando Alvarez & Andrew Atkeson & Chris Edmond, 2003. "On the Sluggish Response of Prices to Money in an Inventory-Theoretic Model of Money Demand," NBER Working Papers 10016, National Bureau of Economic Research, Inc.
    25. DeJong, David N & Ingram, Beth Fisher & Whiteman, Charles H, 1996. "A Bayesian Approach to Calibration," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 1-9, January.
    26. Jean Boivin & Marc Giannoni, 2002. "Assessing changes in the monetary transmission mechanism: a VAR approach," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(May), pages 97-111.
    27. Rogerson, Richard, 1988. "Indivisible labor, lotteries and equilibrium," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 3-16, January.
    28. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
    29. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, March.
    30. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    31. Filippo Occhino, 2004. "Modeling the Response of Money and Interest Rates to Monetary Policy Shocks: A Segmented Markets Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 181-197, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Areosa, Waldyr Dutra & Areosa, Marta B.M., 2016. "The inequality channel of monetary transmission," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 214-230.
    2. Marta B. M. Areosa & Waldyr D. Areosa & Pierre Monnin, 2016. "How Would Monetary Policy Look Like if John Rawls Had Been Hired as a Chairman of the Fed?," Working Papers Series 447, Central Bank of Brazil, Research Department.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Landon-Lane, John & Occhino, Filippo, 2008. "Bayesian estimation and evaluation of the segmented markets friction in equilibrium monetary models," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 444-461, March.
    2. John Landon-Lane & Filippo Occhino, 2004. "A Likelihood-Based Evaluation of the Segmented Markets Friction in Equilibrium Monetary Models," Departmental Working Papers 200415, Rutgers University, Department of Economics.
    3. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    4. Filippo Occhino, 2004. "Markets Segmentation and the Real Interest Rate Response to Monetary Policy Shocks," Departmental Working Papers 200403, Rutgers University, Department of Economics.
    5. Cook, David, 1999. "The liquidity effect and money demand," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 377-390, April.
    6. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.
    7. Filippo Occhino, 2004. "Markets Segmentation and the Hump-Shaped Response of Output to Monetary Policy Shocks," 2004 Meeting Papers 295, Society for Economic Dynamics.
    8. Carlo A. Favero, 2009. "The Econometrics of Monetary Policy: An Overview," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 16, pages 821-850, Palgrave Macmillan.
    9. Philip Arestis & Georgios Chortareas & John D. Tsoukalas, 2010. "Money and Information in a New Neoclassical Synthesis Framework," Economic Journal, Royal Economic Society, vol. 120(542), pages 101-128, February.
    10. Norman Swanson & Oleg Korenok, 2006. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models. Extended Working Paper Version," Departmental Working Papers 200612, Rutgers University, Department of Economics.
    11. Filippo Occhino, 2001. "Monetary Policy Shocks in an Economy with Segmented Markets," Departmental Working Papers 200108, Rutgers University, Department of Economics.
    12. Scott Hendry & Wai-Ming Ho & Kevin Moran, 2003. "Simple Monetary Policy Rules in an Open-Economy, Limited-Participation Model," Staff Working Papers 03-38, Bank of Canada.
    13. Dave Andolfatto & Scott Hendry & Kevin Moran, 2004. "Labour markets, liquidity, and monetary policy regimes," Canadian Journal of Economics, Canadian Economics Association, vol. 37(2), pages 392-420, May.
    14. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    15. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
    16. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2010. "DSGE Models for Monetary Policy Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 7, pages 285-367, Elsevier.
    17. Benjamin Keen, 2009. "Output, Inflation, and Interest Rates in an Estimated Optimizing Model of Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 327-343, April.
    18. Zeno Enders, 2020. "Heterogeneous Consumers, Segmented Asset Markets and the Real Effects of Monetary Policy," The Economic Journal, Royal Economic Society, vol. 130(628), pages 1031-1056.
    19. Julia K. Thomas & Aubhik Khan, 2005. "Inflation and Interest Rates with Endogenous Market Segmentation," 2005 Meeting Papers 170, Society for Economic Dynamics.
    20. Lindé, Jesper, 2001. "The Empirical Relevance of Simple Forward- and Backward-looking Models: A View from a Dynamic General Equilibrium Model," Working Paper Series 130, Sveriges Riksbank (Central Bank of Sweden).

    More about this item

    Keywords

    Segmented Markets; Markov chain Monte Carlo; Taylor rule; Monetary policy shocks;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rut:rutres:200505. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/derutus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.