IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2015-02-16.html

Survey on Financial Market Frictions and Dynamic Stochastic General Equilibrium Models

Author

Listed:
  • Madalin Viziniuc

    (Doctoral School of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 1st district, Bucharest, 010374 Romania.)

Abstract

This survey reviews the research regarding the general frameworks used for the specification of financial market frictions in dynamic stochastic general equilibrium (DSGE) models. Within the related literature, financial frictions are considered to be the prime candidates for endogenous amplification of small transitory non-financial shocks. The latest financial crisis has changed a number of macroeconomic paradigms and DSGE models were not left untouched. Pre-crisis macroeconomic models neglected the financial markets due to the fact the most economists considered them to function perfectly. As economic events pointed out the contrary, numerous research papers that tackle this problem are available in literature, therefore, this rapidly growth of literature motivates this survey.

Suggested Citation

  • Madalin Viziniuc, 2015. "Survey on Financial Market Frictions and Dynamic Stochastic General Equilibrium Models," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 454-460.
  • Handle: RePEc:eco:journ1:2015-02-16
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/1123/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/ijefi/article/view/1123/pdf
    Download Restriction: no
    ---><---

    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.
    2. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    3. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    4. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    5. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    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. Gabriel Rodríguez & Carlos Guevara, 2018. "The Role of Loan Supply Shocks in Pacific Alliance Countries: A TVP-VAR-SV Approach," Documentos de Trabajo / Working Papers 2018-467, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Silvana Bartoletto & Bruno Chiarini & Elisabetta Marzano & Paolo Piselli, 2015. "Business Cycles, Credit Cycles and Bank Holdings of Sovereign Bonds: Historical Evidence for Italy 1861-2013," CESifo Working Paper Series 5318, CESifo.

    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. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
    2. John B. Taylor & Volker Wieland, 2012. "Surprising Comparative Properties of Monetary Models: Results from a New Model Database," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 800-816, August.
    3. 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.
    4. Martin Seneca, 2010. "A DSGE model for Iceland," Economics wp50, Department of Economics, Central bank of Iceland.
    5. Kuchta, Zbigniew, . "Sztywność płac nominalnych w modelach DSGE małej skali. Analiza empiryczna dla Polski," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2014(6).
    6. Jacquinot, Pascal & Clancy, Daragh & Lozej, Matija, 2014. "The effects of government spending in a small open economy within a monetary union," Working Paper Series 1727, European Central Bank.
    7. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    8. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    9. Bechný Jakub, 2019. "Output gap in the Czech economy: DSGE approach," Review of Economic Perspectives, Sciendo, vol. 19(2), pages 137-156, June.
    10. Juan Pablo Medina & Claudio Soto, 2007. "The Chilean Business Cycles Through the Lens of a Stochastic General Equilibrium Model," Working Papers Central Bank of Chile 457, Central Bank of Chile.
    11. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2008. "How Structural Are Structural Parameters?," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 83-137, National Bureau of Economic Research, Inc.
    12. Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2015. "Moment matching versus Bayesian estimation: Backward-looking behaviour in a New-Keynesian baseline model," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 126-154.
    13. Wieland, Volker & Cwik, Tobias & Müller, Gernot J. & Schmidt, Sebastian & Wolters, Maik, 2012. "A new comparative approach to macroeconomic modeling and policy analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 523-541.
    14. Yang, Shanran & Shi, Benye & Yang, Fujia, 2023. "Macroeconomic impact of the Sino–U.S. trade frictions: Based on a two-country, two-sector DSGE model," Research in International Business and Finance, Elsevier, vol. 65(C).
    15. Daniel O. Beltran & David Draper, 2018. "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(2), pages 501-520, February.
    16. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2008. "Evaluating an estimated new Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2690-2721, August.
    17. Gern, Klaus-Jürgen & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Potjagailo, Galina & Wolters, Maik H., 2015. "Weltkonjunktur im Herbst 2015 - Schwäche in den Schwellenländern bremst Weltkonjunktur [Weakness in emerging markets weighs on global growth]," Kieler Konjunkturberichte 9, Kiel Institute for the World Economy.
    18. Corbo, Vesna & Strid, Ingvar, 2020. "MAJA: A two-region DSGE model for Sweden and its main trading partners," Working Paper Series 391, Sveriges Riksbank (Central Bank of Sweden).
    19. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    20. Wieland, V. & Afanasyeva, E. & Kuete, M. & Yoo, J., 2016. "New Methods for Macro-Financial Model Comparison and Policy Analysis," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1241-1319, Elsevier.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

    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:eco:journ1:2015-02-16. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.