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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Kang, Hyunju, 2013. "Behind the scenes of abandoning a fixed exchange rate regime," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3145-3156.
    12. 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.
    13. 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.
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    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. Bhavesh Garg, 2023. "Effectiveness of Monetary and Fiscal Policy in Mitigating Pandemic-Induced Macroeconomic Impacts," Working Papers DP-2023-20, Economic Research Institute for ASEAN and East Asia (ERIA).
    7. 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).

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    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

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