IDEAS home Printed from https://ideas.repec.org/r/ptu/wpaper/w201032.html
   My bibliography  Save this item

Evaluating the strength of identification in DSGE models. An a priori approach

Citations

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Evaluating the strength of identification in DSGE models. An a priori approach
    by Christian Zimmermann in NEP-DGE blog on 2011-01-23 09:07:09

Citations

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


Cited by:

  1. Francesco Bianchi & Cosmin Ilut, 2017. "Monetary/Fiscal Policy Mix and Agent's Beliefs," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 113-139, October.
  2. Cantore, Cristiano & Levine, Paul & Pearlman, Joseph & Yang, Bo, 2015. "CES technology and business cycle fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 133-151.
  3. Afrin, Sadia, 2020. "Does oligopolistic banking friction amplify small open economy's business cycles? Evidence from Australia," Economic Modelling, Elsevier, vol. 85(C), pages 119-138.
  4. Marianna Riggi & Sergio Santoro, 2015. "On the Slope and the Persistence of the Italian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 11(2), pages 157-197, March.
  5. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
  6. Mendicino, Caterina, 2012. "On the amplification role of collateral constraints," Economics Letters, Elsevier, vol. 117(2), pages 429-435.
  7. Massimo Minesso Ferrari, 2020. "The Real Effects of Endogenous Defaults on the Interbank Market," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(3), pages 411-439, November.
  8. DJINKPO, Medard, 2019. "A DSGE model for Fiscal Policy Analysis in The Gambia," MPRA Paper 97874, University Library of Munich, Germany, revised 30 Dec 2019.
  9. Di Bartolomeo, Giovanni & Di Pietro, Marco & Beqiraj, Elton, 2020. "Price and wage inflation persistence across countries and monetary regimes," Journal of International Money and Finance, Elsevier, vol. 109(C).
  10. Deák, Szabolcs & Levine, Paul & Pham, Son T., 2024. "Simple mandates, monetary rules, and trend-inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 28(4), pages 757-790, June.
  11. Ercolani, Valerio & Valle e Azevedo, João, 2014. "The effects of public spending externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 173-199.
  12. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Ratto, Marco, 2019. "Identification versus misspecification in New Keynesian monetary policy models," European Economic Review, Elsevier, vol. 113(C), pages 225-246.
  13. Elton Beqiraj & Massimiliano Tancioni, 2014. "Evaluating Labor Market Targeted Fiscal Policies inHigh Unemployment EZ Countries," Working Papers in Public Economics 165, Department of Economics and Law, Sapienza University of Roma.
  14. Normann Rion, 2020. "Fluctuations in a Dual Labor Market," Working Papers halshs-02570540, HAL.
  15. Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
  16. Yasuo Hirose & Atsushi Inoue, 2016. "The Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 630-651, June.
  17. Gomes, Sandra & Iskrev, Nikolay & Mendicino, Caterina, 2017. "Monetary policy shocks: We got news!," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 108-128.
  18. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers w201802, Banco de Portugal, Economics and Research Department.
  19. Johannes Hermanus Kemp & Hylton Hollander, 2020. "A medium-sized, open-economy, fiscal DSGE model of South Africa," WIDER Working Paper Series wp-2020-92, World Institute for Development Economic Research (UNU-WIDER).
  20. Hirose, Yasuo & Kurozumi, Takushi, 2021. "Identifying News Shocks With Forecast Data," Macroeconomic Dynamics, Cambridge University Press, vol. 25(6), pages 1442-1471, September.
  21. Anna Mikusheva, 2014. "Estimation of dynamic stochastic general equilibrium models (in Russian)," Quantile, Quantile, issue 12, pages 1-21, February.
  22. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
  23. Nikolay, Iskrev, 2014. "Choosing the variables to estimate singular DSGE models: Comment," Dynare Working Papers 41, CEPREMAP.
  24. Afrin, Sadia, 2017. "The role of financial shocks in business cycles with a liability side financial friction," Economic Modelling, Elsevier, vol. 64(C), pages 249-269.
  25. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
  26. Isaiah Andrews & Anna Mikusheva, 2014. "Weak Identification in Maximum Likelihood: A Question of Information," American Economic Review, American Economic Association, vol. 104(5), pages 195-199, May.
  27. Herranz, Moisés Meroño & Turino, Francesco, 2023. "Tax evasion, fiscal policy and public debt: Evidence from Spain," Economic Systems, Elsevier, vol. 47(3).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.