IDEAS home Printed from https://ideas.repec.org/a/eei/journl/v56y2013i1p28-38.html
   My bibliography  Save this article

A Note on Information Flows and Identification of News Shocks Models

Author

Listed:
  • Marco M. Sorge

Abstract

This note points out a hitherto unrecognised identification issue in a class of rational expectations (RE) models with news shocks. We show that different degrees of anticipation (information flows) have strikingly different implications for the identifiability of the underlying structural model, irrespective of its non-fundamental time-series representation. In particular, under full shock anticipation equilibrium reduced forms behave as noisy perfect foresight state motions, which are non-identifiable. As a consequence, the underlying news shocks model fails to be (first-order) identified. The identification failure is illustrated with a New Keynesian model that can be solved analytically.

Suggested Citation

  • Marco M. Sorge, 2013. "A Note on Information Flows and Identification of News Shocks Models," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 28-38.
  • Handle: RePEc:eei:journl:v:56:y:2013:i:1:p:28-38
    as

    Download full text from publisher

    File URL: https://ideas.repec.org/a/eei/journl/v56y2013i1p28-38.html
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Masanao Aoki & Matthew Canzoneri, 1979. "Reduced Forms of Rational Expectations Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(1), pages 59-71.
    2. Pesaran, M. H., 1981. "Identification of rational expectations models," Journal of Econometrics, Elsevier, vol. 16(3), pages 375-398, August.
    3. 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, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    4. Sorge, Marco M., 2012. "News shocks or parametric indeterminacy? An observational equivalence result in linear rational expectations models," Economics Letters, Elsevier, vol. 114(2), pages 198-200.
    5. Bennett T. McCallum & Edward Nelson, 2004. "Timeless perspective vs. discretionary monetary policy in forward-looking models," Review, Federal Reserve Bank of St. Louis, vol. 86(Mar), pages 43-56.
    6. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
    7. Wegge, Leon L. & Feldman, Mark, 1983. "Identifiability criteria for Muth-rational expectations models," Journal of Econometrics, Elsevier, vol. 21(2), pages 245-254, February.
    8. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    9. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
    10. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "On the dynamic implications of news shocks," Economics Letters, Elsevier, vol. 102(2), pages 96-98, February.
    11. Broze, L. & Szafarz, A., 1984. "On linear models with rational expectations which admit a unique solution," European Economic Review, Elsevier, vol. 24(1), pages 103-111.
    12. Féve, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 919-932.
    13. George Evans & Seppo Honkapohja, 1986. "A Complete Characterization of ARMA Solutions to Linear Rational Expectations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(2), pages 227-239.
    14. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," NBER Working Papers 14028, National Bureau of Economic Research, Inc.
    15. Beaudry, Paul & Portier, Franck, 2007. "When can changes in expectations cause business cycle fluctuations in neo-classical settings?," Journal of Economic Theory, Elsevier, vol. 135(1), pages 458-477, July.
    16. Eric Leeper & Todd Walker, 2011. "Information Flows and News Driven Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 55-71, January.
    17. Taylor, John B, 1977. "Conditions for Unique Solutions in Stochastic Macroeconomic Models with Rational Expectations," Econometrica, Econometric Society, vol. 45(6), pages 1377-1385, September.
    18. Laurence Broze & Ariane Szafarz, 1991. "The Econometric Analysis of Non-Uniqueness in Rational Expectations Models," ULB Institutional Repository 2013/649, ULB -- Universite Libre de Bruxelles.
    19. Marco M. Sorge, 2013. "A Note on Information Flows and Identification of News Shocks Models," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 28-38.
    20. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," NBER Working Papers 14028, National Bureau of Economic Research, Inc.
    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. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    2. Marco M. Sorge, 2013. "A Note on Information Flows and Identification of News Shocks Models," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 28-38.

    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. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    2. Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. Mario Forni & Luca Gambetti & Luca Sala, 2014. "No News in Business Cycles," Economic Journal, Royal Economic Society, vol. 124(581), pages 1168-1191, December.
    4. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    5. Christoph Görtz & John D. Tsoukalas, 2013. "News shocks and business cycles: bridging the gap from different methodologies," Working Papers 2013_25, Business School - Economics, University of Glasgow.
    6. Eric M. Leeper & Alexander W. Richter & Todd B. Walker, 2012. "Quantitative Effects of Fiscal Foresight," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 115-144, May.
    7. Sorge, Marco M., 2012. "News shocks or parametric indeterminacy? An observational equivalence result in linear rational expectations models," Economics Letters, Elsevier, vol. 114(2), pages 198-200.
    8. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    9. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
    10. Francesco Carravetta & Marco Sorge, 2010. "A “Nearly Ideal” Solution to Linear Time-Varying Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 331-353, April.
    11. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Reduction and identification of simultaneous equations models with rational expectations," CEPREMAP Working Papers (Couverture Orange) 8601, CEPREMAP.
    12. Karnizova Lilia, 2012. "News Shocks, Productivity and the U.S. Investment Boom-Bust Cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-50, June.
    13. Matsumoto, Akito & Cova, Pietro & Pisani, Massimiliano & Rebucci, Alessandro, 2011. "News shocks and asset price volatility in general equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2132-2149.
    14. Samuel Wills, 2012. "Optimal Monetary Responses to Oil Discoveries," Discussion Papers 1408, Centre for Macroeconomics (CFM), revised Apr 2014.
    15. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
    16. Kamber, Güneş & Theodoridis, Konstantinos & Thoenissen, Christoph, 2017. "News-driven business cycles in small open economies," Journal of International Economics, Elsevier, vol. 105(C), pages 77-89.
    17. Christoph Görtz & John D. Tsoukalas, 2017. "News and Financial Intermediation in Aggregate Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 514-530, July.
    18. Lambertini, Luisa & Mendicino, Caterina & Teresa Punzi, Maria, 2013. "Leaning against boom–bust cycles in credit and housing prices," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1500-1522.
    19. Ariane Szafarz, 2009. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," Working Papers CEB 09-048.RS, ULB -- Universite Libre de Bruxelles.
    20. Miranda-Agrippino, Silvia & Hacıoglu Hoke, Sinem, 2018. "When creativity strikes: news shocks and business cycle fluctuations," LSE Research Online Documents on Economics 90381, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Rational expectations; perfect foresight; news shocks; identification.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:eei:journl:v:56:y:2013:i:1:p:28-38. 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: Julia van Hove (email available below). General contact details of provider: https://edirc.repec.org/data/eeriibe.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.