IDEAS home Printed from https://ideas.repec.org/p/inh/wpaper/2017-1.html
   My bibliography  Save this paper

Macroeconomic Dynamics in Korea during and after the Global Financial Crisis: A Bayesian DSGE Approach

Author

Listed:
  • Hyunju Kang

    (Korea Capital Market Institute)

  • Hyunduk Suh

    (Department of Economics, Inha University)

Abstract

We estimate a medium-scale DSGE model, including a financial accelerator and the search and matching framework in labor markets, for the Korean economy, using the Bayesian technique. The estimated model shows that the recent sluggishness in GDP growth can be explained by slow technology growth, and the decline in CPI inflation is affected by a falling markup in domestic homogeneous goods production and a negative intertemporal consumption preference. Although wages, unemployment, and total labor hours are influenced by various factors, households' weak bargaining power causes a slow recovery in wages, while pushing the unemployment rate down. There was also a spillover from non-big-5 to big-5 firms during the global financial crisis, while monetary and fiscal policy has been mostly conservative in the post-crisis period.

Suggested Citation

  • Hyunju Kang & Hyunduk Suh, 2017. "Macroeconomic Dynamics in Korea during and after the Global Financial Crisis: A Bayesian DSGE Approach," Inha University IBER Working Paper Series 2017-1, Inha University, Institute of Business and Economic Research, revised Mar 2017.
  • Handle: RePEc:inh:wpaper:2017-1
    as

    Download full text from publisher

    File URL: https://drive.google.com/open?id=0B39YVuPWzf0ZcUZJTkhCLTNONEU
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    2. 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.
    3. 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.
    4. Kang, Hyunju, 2013. "Behind the scenes of abandoning a fixed exchange rate regime," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3145-3156.
    5. Mark Gertler & Simon Gilchrist & Fabio M. Natalucci, 2007. "External Constraints on Monetary Policy and the Financial Accelerator," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 295-330, March.
    6. Tae Bong Kim & Hangyu Lee, 2016. "Macroeconomic Shocks and Dynamics of Labor Markets in Korea," Korean Economic Review, Korean Economic Association, vol. 32, pages 101-136.
    7. 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.
    8. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    9. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    10. Mark Gertler & Luca Sala & Antonella Trigari, 2008. "An Estimated Monetary DSGE Model with Unemployment and Staggered Nominal Wage Bargaining," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1713-1764, December.
    11. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2011. "Introducing financial frictions and unemployment into a small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
    12. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
    13. Mark Gertler & Peter Karadi, 2013. "QE 1 vs. 2 vs. 3. . . : A Framework for Analyzing Large-Scale Asset Purchases as a Monetary Policy Tool," International Journal of Central Banking, International Journal of Central Banking, vol. 9(1), pages 5-53, 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. Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
    2. Xingong Ding & Yong-Jae Choi, 2023. "Macroeconomic Effects of Maritime Transport Costs Shocks: Evidence from the South Korean Economy," Mathematics, MDPI, vol. 11(17), pages 1-26, August.
    3. Yugang He, 2022. "Home Production: Does It Matter for the Korean Macroeconomy during the COVID-19 Pandemic?," Mathematics, MDPI, vol. 10(12), pages 1-12, June.
    4. Yugang He & Zhuoqi Teng, 2024. "Navigating Uncharted Waters: The Transformation of the Bank of Korea’s Monetary Policy in Response to Global Economic Uncertainty," Mathematics, MDPI, vol. 12(11), pages 1-24, May.
    5. Yao Li & Yugang He & Renhong Wu, 2023. "Traversing the Macroeconomic Terrain: An Exploration of South Korea’s Economic Responsiveness to Cross-Border E-Commerce Production Technology Alterations in the Global Arena," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    6. Hwang, So Jung & Suh, Hyunduk, 2021. "Overall and time-varying effects of global and domestic uncertainty on the Korean economy," Journal of Asian Economics, Elsevier, vol. 76(C).

    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. Luca Sala & Ulf Söderström & Antonella Trigari, 2013. "Structural and Cyclical Forces in the Labor Market during the Great Recession: Cross-Country Evidence," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 345-404.
    2. Imen Ben Mohamed & Marine Salès, 2015. "Credit imperfections, labor market frictions and unemployment: a DSGE approach," Working Papers hal-01082471, HAL.
    3. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    4. 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.
    5. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2011. "Introducing financial frictions and unemployment into a small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
    6. Imen Ben Mohamed & Marine Salès, 2015. "Credit imperfections, labor market frictions and unemployment: a DSGE approach," Working Papers hal-01082491, HAL.
    7. Zhang, Yahong, 2018. "Financial factors and labor market fluctuations," Economic Modelling, Elsevier, vol. 74(C), pages 24-44.
    8. Iversen, Jens & Laséen, Stefan & Lundvall, Henrik & Söderström, Ulf, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," Working Paper Series 318, Sveriges Riksbank (Central Bank of Sweden).
    9. Senbeta, Sisay, 2011. "How applicable are the new keynesian DSGE models to a typical low-income economy?," MPRA Paper 30931, University Library of Munich, Germany.
    10. Marianna Riggi, 2010. "Nominal And Real Wage Rigidities In New Keynesian Models: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 539-572, July.
    11. McAdam, Peter & Warne, Anders, 2019. "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, vol. 35(2), pages 580-600.
    12. Christopher J. Erceg & Jesper Lindé, 2011. "Asymmetric Shocks in a Currency Union with Monetary and Fiscal Handcuffs," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 95-136.
    13. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2013. "Inflation Dynamics And Labor Market Specifications: A Bayesian Dynamic Stochastic General Equilibrium Approach For Japan'S Economy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 273-287, January.
    14. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    15. Jordi Galí & Mark Gertler, 2007. "Macroeconomic Modeling for Monetary Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 25-46, Fall.
    16. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    17. Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2021. "Involuntary Unemployment and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 26-54, January.
    18. Benjamín García & Sebastián Guarda & Markus Kirchner & Rodrigo Tranamil, 2019. "XMAS: An extended model for analysis and simulations," Working Papers Central Bank of Chile 833, Central Bank of Chile.
    19. Mark Gertler & Antonella Trigari, 2009. "Unemployment Fluctuations with Staggered Nash Wage Bargaining," Journal of Political Economy, University of Chicago Press, vol. 117(1), pages 38-86, February.
    20. Casares, Miguel & Moreno, Antonio & Vázquez, Jesús, 2014. "An estimated New-Keynesian model with unemployment as excess supply of labor," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 338-359.

    More about this item

    Keywords

    DSGE Model; Financial Frictions; Employment Frictions; Korean Economy;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • G1 - Financial Economics - - General Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:inh:wpaper:2017-1. 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: Youngjin Yun (email available below). General contact details of provider: https://edirc.repec.org/data/deinhkr.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.