IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v115y2012i3p390-391.html

Structural correlation decompositions for business cycle analysis

Author

Listed:
  • Andrle, Michal

Abstract

This note demonstrates a decomposition of correlations into contributions of structural shocks. The method is useful for analysis of complex models that can be expressed as linear state-space models, e.g., DSGE, SVAR or dynamic factor models.

Suggested Citation

  • Andrle, Michal, 2012. "Structural correlation decompositions for business cycle analysis," Economics Letters, Elsevier, vol. 115(3), pages 390-391.
    • Handle: RePEc:eee:ecolet:v:115:y:2012:i:3:p:390-391
    DOI: 10.1016/j.econlet.2011.12.094
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176511006173
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2011.12.094?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    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. Morell, Joseph, 2018. "The decline in the predictive power of the US term spread: A structural interpretation," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 314-331.

    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. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    2. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    3. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    4. Carlstrom, Charles T. & Fuerst, Timothy S. & Paustian, Matthias, 2009. "Monetary policy shocks, Choleski identification, and DNK models," Journal of Monetary Economics, Elsevier, vol. 56(7), pages 1014-1021, October.
    5. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    6. Karadi, Peter & Nakov, Anton, 2021. "Effectiveness and addictiveness of quantitative easing," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 1096-1117.
    7. Bermperoglou, Dimitrios & Deli, Yota & Kalyvitis, Sarantis, 2019. "Investment tax incentives and their big time-to-build fiscal multiplier," Kiel Working Papers 2143, Kiel Institute for the World Economy.
    8. Storesletten, Kjetil & Zhao, Bo & Zilibotti, Fabrizio, 2020. "Business Cycle during Structural Change: Arthur Lewis’ Theory from a Neoclassical Perspective," CEPR Discussion Papers 14964, C.E.P.R. Discussion Papers.
    9. Prabheesh, K.P. & Anglingkusumo, Reza & Juhro, Solikin M., 2021. "The dynamics of global financial cycle and domestic economic cycles: Evidence from India and Indonesia," Economic Modelling, Elsevier, vol. 94(C), pages 831-842.
    10. Kevin x.d. Huang & Jie Chen & Zhe Li & Jianfei Sun, 2014. "Financial Conditions and Slow Recoveries," Vanderbilt University Department of Economics Working Papers 14-00004, Vanderbilt University Department of Economics.
    11. Alexander Mihailov & Giovanni Razzu & Zhe Wang, 2019. "Heterogeneous effects of single monetary policy on unemployment rates in the largest EMU economies," Economics Discussion Papers em-dp2019-07, Department of Economics, University of Reading.
    12. Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What's Up with the Phillips Curve?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
    13. Tobias Cwik, 2012. "Fiscal consolidation using the example of Germany," Finance and Economics Discussion Series 2012-80, Board of Governors of the Federal Reserve System (U.S.).
    14. Marjit, Sugata & Mukherjee, Arijit & Xu, Xinpeng & Yang, Lei, 2025. "Finance and collusion in oligopolistic markets," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    15. Onofri, Marco & Peersman, Gert & Smets, Frank, 2023. "The effectiveness of a negative interest rate policy," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 16-33.
    16. Senay, Ozge & Sutherland, Alan, 2019. "Optimal monetary policy, exchange rate misalignments and incomplete financial markets," Journal of International Economics, Elsevier, vol. 117(C), pages 196-208.
    17. Hurtado, Samuel, 2014. "DSGE models and the Lucas critique," Economic Modelling, Elsevier, vol. 44(S1), pages 12-19.
    18. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & Jos� El�as Gallegos & Richard Jaimes & Edgar Silgado G�mez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-41.
    19. Abdoulaye Millogo, 2020. "Hysteresis Effects and Macroeconomics Gains from Unconventional Monetary Policies Stabilization," Cahiers de recherche 20-12, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    20. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

    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:eee:ecolet:v:115:y:2012:i:3:p:390-391. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.