IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-20200701-36-2-06.html
   My bibliography  Save this article

Policy Implications of Investment Rate Distributions in the Korean Manufacturing Sector

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-20200701-36-2-06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    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. 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.
    6. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    7. 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.
    8. House, Christopher L., 2014. "Fixed costs and long-lived investments," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 86-100.
    9. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    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. 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.
    2. 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.

    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. Gian Luca Clementi & Berardino Palazzo, 2016. "Entry, Exit, Firm Dynamics, and Aggregate Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 1-41, July.
    2. Jinhee Woo, 2016. "The Cyclicality of Entry and Exit: A General Equilibrium Analysis with Imperfect Information," 2016 Meeting Papers 613, Society for Economic Dynamics.
    3. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    4. Woo, Jinhee, 2022. "The cyclicality of entry and exit: The role of imperfect information," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    5. Jae Sim & Egon Zakrajsek & Simon Gilchrist, 2010. "Uncertainty, Financial Frictions, and Investment Dynamics," 2010 Meeting Papers 1285, Society for Economic Dynamics.
    6. Xiao, J., 2016. "Corporate Debt Structure, Precautionary Savings, and Investment Dynamics," Cambridge Working Papers in Economics 1666, Faculty of Economics, University of Cambridge.
    7. Basile Grassi & Vasco Carvalho, 2015. "Firm Dynamics and the Granular Hypothesis," 2015 Meeting Papers 617, Society for Economic Dynamics.
    8. Giuseppe Fiori & Filippo Scoccianti, 2021. "Aggregate dynamics and microeconomic heterogeneity: the role of vintage technology," Questioni di Economia e Finanza (Occasional Papers) 651, Bank of Italy, Economic Research and International Relations Area.
    9. Elsby, Michael W.L. & Michaels, Ryan, 2019. "Fixed adjustment costs and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 128-147.
    10. Joseph Vavra, 2011. "Inflation Dynamics and Time-Varying Uncertainty: New Evidence and an Ss Interpretation," 2011 Meeting Papers 126, Society for Economic Dynamics.
    11. Safronov, M., 2016. "Experimentation and Learning-by-Doing," Cambridge Working Papers in Economics 1667, Faculty of Economics, University of Cambridge.
    12. Joseph Vavra, 2014. "Inflation Dynamics and Time-Varying Volatility: New Evidence and an Ss Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 215-258.
    13. Vasco M. Carvalho & Basile Grassi, 2019. "Large Firm Dynamics and the Business Cycle," American Economic Review, American Economic Association, vol. 109(4), pages 1375-1425, April.
    14. Stephen J. Terry, 2017. "Alternative Methods for Solving Heterogeneous Firm Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(6), pages 1081-1111, September.
    15. Noh‐Sun Kwark & Eunseong Ma, 2021. "Entrepreneurship And Income Distribution Dynamics: Why Is The Income Share Of Top Income Earners Acyclical Over The Business Cycle?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(1), pages 321-356, February.
    16. Bachmann, Ruediger & Bayer, Christian, 2009. "The cross-section of firms over the business cycle: new facts and a DSGE exploration," Discussion Paper Series 1: Economic Studies 2009,17, Deutsche Bundesbank.
    17. David Berger & Joseph Vavra, 2015. "Consumption Dynamics During Recessions," Econometrica, Econometric Society, vol. 83, pages 101-154, January.
    18. Lütticke, Ralph & Bayer, Christian & Pham, Lien & Tjaden, Volker, 2013. "Household Income Risk, Nominal Frictions, and Incomplete Markets," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79868, Verein für Socialpolitik / German Economic Association.
    19. Ruediger Bachmann & Christian Bayer, 2009. "Firm-Specific Productivity Risk over the Business Cycle: Facts and Aggregate Implications," 2009 Meeting Papers 869, Society for Economic Dynamics.
    20. 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.

    More about this item

    Keywords

    Investment; Fixed Cost; Partial Irreversibility;
    All these keywords.

    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

    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:kea:keappr:ker-20200701-36-2-06. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.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.