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Policy Implications of Investment Rate Distributions in the Korean Manufacturing Sector

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  • Jinhee Woo

    (Korea Institute of Public Finance)

Abstract

A cross-sectional distribution of the investment rates of manufacturing establishments in Korea, based on the Mining and Manufacturing Surveys of 2011 through 2014, reveals a fatright tail and an asymmetry between positive and negative investment rates, reflecting the fixed cost of capital adjustment and the partial irreversibility of investment. This find in greveals that the aggregate responsiveness to the investment support policy will be greater during a boom than during a recession. A heterogeneous plant model designed to explain the cross-sectional distribution of investment rates observed in the data demonstrates that the response of aggregated investment to investment subsidy is 21.8% higher during a boom than during a recession. Our study also suggests that concentrating subsidies in establishments with small employment size will increase the investment inducement effect of the policy rather than provide equal subsidies for establishments of all sizes.

Suggested Citation

  • Jinhee Woo, 2020. "Policy Implications of Investment Rate Distributions in the Korean Manufacturing Sector," Korean Economic Review, Korean Economic Association, vol. 36, pages 445-480.
    • Handle: RePEc:kea:keappr:ker-20200701-36-2-06
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    References listed on IDEAS

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    1. Den Haan, Wouter J., 2010. "Assessing the accuracy of the aggregate law of motion in models with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 79-99, January.
    2. Rui Castro & Gian Luca Clementi & Yoonsoo Lee, 2015. "Cross Sectoral Variation in the Volatility of Plant Level Idiosyncratic Shocks," Journal of Industrial Economics, Wiley Blackwell, vol. 63(1), pages 1-29, March.
    3. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    4. Marcelo L. Veracierto, 2002. "Plant-Level Irreversible Investment and Equilibrium Business Cycles," American Economic Review, American Economic Association, vol. 92(1), pages 181-197, March.
    5. House, Christopher L., 2014. "Fixed costs and long-lived investments," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 86-100.
    6. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    7. Aubhik Khan & Julia K. Thomas, 2008. "Idiosyncratic Shocks and the Role of Nonconvexities in Plant and Aggregate Investment Dynamics," Econometrica, Econometric Society, vol. 76(2), pages 395-436, March.
    8. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    9. R?diger Bachmann & Ricardo J. Caballero & Eduardo M. R. A. Engel, 2013. "Aggregate Implications of Lumpy Investment: New Evidence and a DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 29-67, October.
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    Cited by:

    1. 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.
    2. DongIk Kang & Jinhee Woo, 2022. "How Effective are Automatic Stabilizers in Reducing Aggregate Volatility in Korea?," Korean Economic Review, Korean Economic Association, vol. 38, pages 5-42.

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    Keywords

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    JEL classification:

    • 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

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