IDEAS home Printed from https://ideas.repec.org/a/spr/jecstr/v7y2018i1d10.1186_s40008-018-0114-2.html
   My bibliography  Save this article

The effects of external shocks on the Korean economy: CGE model-based analysis

Author

Listed:
  • Hyeok Lee

    (Yonsei University)

  • Yong Kyun Kim

    (Yonsei University)

Abstract

The trend of low commodity prices looks to continue. Such a trend will affect small open economies that are heavily commodity import dependent, such as the economy of South Korea. Hence, it is of interest to see how the economy would have performed differently with changes in the imported commodity price. In order to systematically investigate this effect, this paper utilizes the Computable General Equilibrium model. In applying the model, maximum entropy estimation approach is used to estimate behavioral parameters for the model. The results of scenario analyses seem to indicate that technology intensity of the industries dictates how differently the given industry will behave with regard to the change in crude oil prices.

Suggested Citation

  • Hyeok Lee & Yong Kyun Kim, 2018. "The effects of external shocks on the Korean economy: CGE model-based analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-14, December.
    • Handle: RePEc:spr:jecstr:v:7:y:2018:i:1:d:10.1186_s40008-018-0114-2
    DOI: 10.1186/s40008-018-0114-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40008-018-0114-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40008-018-0114-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    3. Henderson, Heath & Golan, Amos & Seabold, Skipper, 2015. "Incorporating prior information when true priors are unknown: An Information-Theoretic approach for increasing efficiency in estimation," Economics Letters, Elsevier, vol. 127(C), pages 1-5.
    4. Gallaway, Michael P. & McDaniel, Christine A. & Rivera, Sandra A., 2003. "Short-run and long-run industry-level estimates of U.S. Armington elasticities," The North American Journal of Economics and Finance, Elsevier, vol. 14(1), pages 49-68, March.
    5. Robert C. Feenstra & Philip Luck & Maurice Obstfeld & Katheryn N. Russ, 2018. "In Search of the Armington Elasticity," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 135-150, March.
    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. Obayelu, Abiodun & Ogunmola, Omotoso & Obayelu, Oluwakemi & Adeyemi, Oluwatosin, 2021. "Crude Oil Price Shocks and Food Production Output in Oil Producing and Exporting Countries: The Case Study of Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315394, International Association of Agricultural Economists.

    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. Cavallari, Lilia, 2022. "The international real business cycle when demand matters," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Niemi, Janne, 2018. "Short-run and long-run food import elasticities with persistent trading habits," Working Papers 111, VATT Institute for Economic Research.
    3. Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
    4. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    5. Aydin, Levent, 2009. "The Impacts of the Trade and Factor Market Liberalization on the Carbon Abatement Policies in the Enlargement of European Union," Conference papers 331842, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Hakan Yilmazkuday, 2017. "Unifying Macro Elasticities in International Economics," Globalization Institute Working Papers 299, Federal Reserve Bank of Dallas.
    7. repec:lrk:lrkwkp:fiirs016 is not listed on IDEAS
    8. Marsh, Thomas L. & Mittelhammer, Ronald C., 2001. "Adaptive Truncated Estimaton Applied To Maximum Entropy," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36169, Western Agricultural Economics Association.
    9. Müller, Marc & Sanfo, Safietou & Laube, Wolfram, 2013. "Impact of Changing Seasonal Rainfall Patterns on Rainy-Season Crop Production in the Guinea Savannah of West Africa," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151208, Agricultural and Applied Economics Association.
    10. Severini, Simone & Valle, Stefano, 2008. "The Abrogation Of Set Aside And The Increase Of Cereal Prices: Can They Revert The Decline Of Cereal Production Generated By Decoupling?," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44782, European Association of Agricultural Economists.
    11. Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
    12. Giovanni Ganelli & Juha Tervala, 2015. "Tariff-tax Reforms in Large Economies," The World Economy, Wiley Blackwell, vol. 38(12), pages 1990-2012, December.
    13. Masato Yamazaki & Atsushi Koike & Yoshinori Sone, 2018. "A Heuristic Approach to the Estimation of Key Parameters for a Monthly, Recursive, Dynamic CGE Model," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 283-301, October.
    14. Ramanarayanan, Ananth, 2017. "Imported inputs, irreversibility, and international trade dynamics," Journal of International Economics, Elsevier, vol. 104(C), pages 1-18.
    15. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    16. Zografos, K. & Nadarajah, S., 2005. "Expressions for Rényi and Shannon entropies for multivariate distributions," Statistics & Probability Letters, Elsevier, vol. 71(1), pages 71-84, January.
    17. Greg Seymour & Maria S. Floro, 2016. "Identity, Household Work, and Subjective Well-Being among Rural Women in Bangladesh," Working Papers id:11520, eSocialSciences.
    18. George Alessandria & Joseph P. Kaboski & Virgiliu Midrigan, 2010. "Inventories, Lumpy Trade, and Large Devaluations," American Economic Review, American Economic Association, vol. 100(5), pages 2304-2339, December.
    19. Frank Fuller & John Beghin & Scott Rozelle, 2007. "Consumption of dairy products in urban China: results from Beijing, Shangai and Guangzhou," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 459-474, December.
    20. Barkhordar, Zahra A., 2019. "Evaluating the economy-wide effects of energy efficient lighting in the household sector of Iran," Energy Policy, Elsevier, vol. 127(C), pages 125-133.
    21. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.

    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:spr:jecstr:v:7:y:2018:i:1:d:10.1186_s40008-018-0114-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.