IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v109y2010i3p142-143.html
   My bibliography  Save this article

Evaluating the sample likelihood of linearized DSGE models without the use of the Kalman filter

Author

Listed:
  • Schmitt-Grohé, Stephanie
  • Uribe, Martín

Abstract

This paper derives a method for constructing the likelihood function of a general class of linearized dynamic general equilibrium models that does not require the application of the Kalman filter. The method easily handles models in which variables are observed with error.

Suggested Citation

  • Schmitt-Grohé, Stephanie & Uribe, Martín, 2010. "Evaluating the sample likelihood of linearized DSGE models without the use of the Kalman filter," Economics Letters, Elsevier, vol. 109(3), pages 142-143, December.
    • Handle: RePEc:eee:ecolet:v:109:y:2010:i:3:p:142-143
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(10)00280-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Schmitt-Grohe, Stephanie & Uribe, Martin, 2004. "Solving dynamic general equilibrium models using a second-order approximation to the policy function," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 755-775, 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. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    2. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2015. "Generalized exogenous processes in DSGE: A Bayesian approach," SFB 649 Discussion Papers 2015-014, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2015. "Solving and estimating linearized DSGE models with VARMA shock processes and filtered data," Economics Letters, Elsevier, vol. 133(C), pages 89-91.
    4. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.
    5. Adrien Auclert & Bence Bardóczy & Matthew Rognlie & Ludwig Straub, 2021. "Using the Sequence‐Space Jacobian to Solve and Estimate Heterogeneous‐Agent Models," Econometrica, Econometric Society, vol. 89(5), pages 2375-2408, September.
    6. repec:hum:wpaper:sfb649dp2015-014 is not listed on IDEAS

    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. Wang, Shu-Ling, 2021. "Fiscal stimulus in a high-debt economy? A DSGE analysis," Economic Modelling, Elsevier, vol. 98(C), pages 118-135.
    2. Zsófia L. Bárány, 2016. "The Minimum Wage and Inequality: The Effects of Education and Technology," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 237-274.
    3. repec:zbw:bofitp:2019_008 is not listed on IDEAS
    4. Vlieghe, Gertjan W, 2007. "Imperfect credit markets: implications for monetary policy," MPRA Paper 12957, University Library of Munich, Germany.
    5. Kitano Shigeto & Takaku Kenya, 2018. "Capital controls as a credit policy tool in a small open economy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(1), pages 1-19, January.
    6. Posch, Olaf, 2009. "Structural estimation of jump-diffusion processes in macroeconomics," Journal of Econometrics, Elsevier, vol. 153(2), pages 196-210, December.
    7. Bonciani, Dario, 2014. "Uncertainty shocks: it's a matter of habit," MPRA Paper 59370, University Library of Munich, Germany.
    8. Borovička, Jaroslav & Hansen, Lars Peter, 2014. "Examining macroeconomic models through the lens of asset pricing," Journal of Econometrics, Elsevier, vol. 183(1), pages 67-90.
    9. Gomme, Paul & Klein, Paul, 2011. "Second-order approximation of dynamic models without the use of tensors," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 604-615, April.
    10. Marattin, Luigi & Marzo, Massimiliano & Zagaglia, Paolo, 2013. "Distortionary tax instruments and implementable monetary policy," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 219-243.
    11. Boppart, Timo & Krusell, Per & Mitman, Kurt, 2018. "Exploiting MIT shocks in heterogeneous-agent economies: the impulse response as a numerical derivative," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 68-92.
    12. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 185-206, May.
    13. Horvath Michal, 2011. "Alternative Perspectives on Optimal Public Debt Adjustment," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-22, November.
    14. Eickmeier, Sandra & Metiu, Norbert & Prieto, Esteban, 2016. "Time-varying volatility, financial intermediation and monetary policy," Discussion Papers 46/2016, Deutsche Bundesbank.
    15. Kim, Jinill & Ruge-Murcia, Francisco J., 2009. "How much inflation is necessary to grease the wheels?," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 365-377, April.
    16. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Benchimol, Jonathan & Bozou, Caroline, 2024. "Desirable banking competition and stability," Journal of Financial Stability, Elsevier, vol. 73(C).
    18. Yi Wen & Huabin Wu, 2011. "Dynamics of externalities: a second-order perspective," Review, Federal Reserve Bank of St. Louis, vol. 93(May), pages 187-206.
    19. RUGE-MURCIA, Francisco J., 2010. "Estimating Nonlinear DSGE Models by the Simulated Method of Moments," Cahiers de recherche 2010-10, Universite de Montreal, Departement de sciences economiques.
    20. Ester Faia & Tommaso Monacelli, 2003. "Ramsey monetary policy and international relative prices," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    21. L. Marattin & S. Salotti, 2009. "The Response of Private Consumption to Different Public Spending Categories: VAR Evidence from UK," Working Papers 670, Dipartimento Scienze Economiche, Universita' di Bologna.

    More about this item

    Keywords

    DSGE models Likelihood function;

    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:109:y:2010:i:3:p:142-143. 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.