IDEAS home Printed from https://ideas.repec.org/h/chb/bcchsb/v13c08pp227-283.html
   My bibliography  Save this book chapter

A Sticky-information General Equilibrium Model por Policy Analysis

In: Monetary Policy under Uncertainty and Learning

Author

Listed:
  • Ricardo Reis

    (National Bureau of Economic Research)

Abstract

This paper presents a dynamic stochastic general-equilibrium model with a single friction in all markets: sticky information. In this economy, agents are inattentive because of the high cost of acquiring, absorbing and processing information, so that the actions of consumers, workers and firms are slow to incorporate news. This paper presents the details of the behavior of an economy with pervasive inattentiveness functions, and develops a set of algorithms that solve the model quickly. It then applies these to estimate the model using post-1986 data for the United States and post-1993 for the Eurozone, and to conduct counterfactual policy experiments. The end result is a laboratory that is rich enough to account for the dynamics of at least five macroeconomic series (inflation, output, hours, interest rates, and wages), and which can be used to inform applied monetary policy.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ricardo Reis, 2009. "A Sticky-information General Equilibrium Model por Policy Analysis," Central Banking, Analysis, and Economic Policies Book Series,in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.), Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 8, pages 227-283 Central Bank of Chile.
  • Handle: RePEc:chb:bcchsb:v13c08pp227-283
    as

    Download full text from publisher

    File URL: http://si2.bcentral.cl/public/pdf/banca-central/pdf/v13/Vol13_227-283.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Korenok, Oleg, 2008. "Empirical comparison of sticky price and sticky information models," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 906-927, September.
    2. Michael Woodford, 1998. "Doing Without Money: Controlling Inflation in a Post-Monetary World," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 173-219, January.
    3. Ricardo Nunes, 2009. "On the Epidemiological Microfoundations of Sticky Information," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 643-657, October.
    4. Xavier Gabaix & David Laibson, 2002. "The 6D Bias and the Equity-Premium Puzzle," NBER Chapters,in: NBER Macroeconomics Annual 2001, Volume 16, pages 257-330 National Bureau of Economic Research, Inc.
    5. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1295-1328.
    6. Ball, Laurence & Gregory Mankiw, N. & Reis, Ricardo, 2005. "Monetary policy for inattentive economies," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 703-725, May.
    7. Michael T. Kiley, 2007. "A Quantitative Comparison of Sticky-Price and Sticky-Information Models of Price Setting," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 101-125, February.
    8. Andres, Javier & Lopez-Salido, J. David & Nelson, Edward, 2005. "Sticky-price models and the natural rate hypothesis," Journal of Monetary Economics, Elsevier, vol. 52(5), pages 1025-1053, July.
    9. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    10. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
    11. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2006. "SIGMA: A New Open Economy Model for Policy Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    12. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 223-250, January.
    13. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters,in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312 National Bureau of Economic Research, Inc.
    14. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 269-298.
    15. Lucas, Robert E, Jr, 1980. "Methods and Problems in Business Cycle Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(4), pages 696-715, November.
    16. Coibion Olivier, 2006. "Inflation Inertia in Sticky Information Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(1), pages 1-29, January.
    17. Jean-Philippe Laforte, 2007. "Pricing Models: A Bayesian DSGE Approach for the U.S. Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 127-154, February.
    18. Meyer-Gohde, Alexander, 2010. "Linear rational-expectations models with lagged expectations: A synthetic method," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 984-1002, May.
    19. Oleg Korenok & Norman R. Swanson, 2005. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models vs. Simple Linear Econometric Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 905-930, December.
    20. Sveen, Tommy & Weinke, Lutz, 2005. "New perspectives on capital, sticky prices, and the Taylor principle," Journal of Economic Theory, Elsevier, vol. 123(1), pages 21-39, July.
    21. Khan, Hashmat & Zhu, Zhenhua, 2006. "Estimates of the Sticky-Information Phillips Curve for the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 195-207, February.
    22. Lars E. O. Svensson, 2003. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 426-477, June.
    23. Edward S. Knotek Ii, 2010. "A Tale of Two Rigidities: Sticky Prices in a Sticky‐Information Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1543-1564, December.
    24. Taylor, John B, 1979. "Estimation and Control of a Macroeconomic Model with Rational Expectations," Econometrica, Econometric Society, vol. 47(5), pages 1267-1286, September.
    25. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    26. Menezes, Flavio M., 2008. "An Introduction to Auction Theory," OUP Catalogue, Oxford University Press, number 9780199275991.
    27. Andrew B. Abel & Janice C. Eberly & Stavros Panageas, 2007. "Optimal Inattention to the Stock Market," American Economic Review, American Economic Association, vol. 97(2), pages 244-249, May.
    28. Branch, William A., 2007. "Sticky information and model uncertainty in survey data on inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 245-276, 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. Slanicay Martin, 2014. "Some Notes on Historical, Theoretical, and Empirical Background of DSGE Models," Review of Economic Perspectives, Sciendo, vol. 14(2), pages 1-20, June.
    2. Verona, Fabio, 2014. "Pervasive inattentiveness," Economics Letters, Elsevier, vol. 125(2), pages 287-290.
    3. Carlstrom, Charles T. & Fuerst, Timothy S. & Paustian, Matthias, 2015. "Inflation and output in New Keynesian models with a transient interest rate peg," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 230-243.
    4. F. Verona & M. M. F. Martins & I. Drumond, 2013. "(Un)anticipated Monetary Policy in a DSGE Model with a Shadow Banking System," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 78-124, September.
    5. repec:spr:annopr:v:247:y:2016:i:2:d:10.1007_s10479-015-1879-4 is not listed on IDEAS
    6. Fabio Verona, 2011. "Lumpy investment in sticky information general equilibrium," CEF.UP Working Papers 1102, Universidade do Porto, Faculdade de Economia do Porto.
    7. Fabio Verona, 2014. "Investment Dynamics with Information Costs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1627-1656, December.
    8. Paul Levine & Joseph Pearlman & George Perendia & Bo Yang, 2012. "Endogenous Persistence in an estimated DSGE Model Under Imperfect Information," Economic Journal, Royal Economic Society, vol. 122(565), pages 1287-1312, December.
    9. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Ekinci, Mehmet Fatih, 2017. "Inattentive consumers and international business cycles," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 1-27.
    11. Fabio Verona & Maik Wolters, 2014. "Sticky Information Models in Dynare," Computational Economics, Springer;Society for Computational Economics, vol. 43(3), pages 357-370, March.
    12. Enrico Giovannini & Marco Malgarini & Raffaella Sonego, 2015. "What do Italian consumers know about Economic Data? Evidence from the Istat Consumer Survey," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(3), pages 25-47.
    13. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: II – model comparisons, model validation, policy analysis and general discussion," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 19, pages 441-463 Edward Elgar Publishing.
    14. Jean-Paul L'Huillier & William R. Zame, 2015. "The Flattening of the Phillips Curve and the Learning Problem of the Central Bank," EIEF Working Papers Series 1503, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2014.

    More about this item

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:chb:bcchsb:v13c08pp227-283. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Claudio Sepulveda). General contact details of provider: http://edirc.repec.org/data/bccgvcl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.