IDEAS home Printed from https://ideas.repec.org/f/pki272.html
   My authors  Follow this author

Kwang Hwan Kim

Personal Details

First Name:Kwang Hwan
Middle Name:
Last Name:Kim
Suffix:
RePEc Short-ID:pki272
[This author has chosen not to make the email address public]
Terminal Degree:2007 Department of Economics; University of California-San Diego (UCSD) (from RePEc Genealogy)

Affiliation

College of Business and Economics
Yonsei University

Seoul, South Korea
https://ysb.yonsei.ac.kr/
RePEc:edi:cbyonkr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Dimitris Georgarakos & Kwang Hwan Kim & Olivier Coibion & Myungkyu Shim & Myunghwan Andrew Lee & Yuriy Gorodnichenko & Geoff Kenny & Seowoo Han & Michael Weber, 2025. "How Costly Are Business Cycle Volatility and Inflation? A Vox Populi Approach," NBER Working Papers 33476, National Bureau of Economic Research, Inc.
  2. Munechika Katayama & Kwang Hwan Kim, 2010. "Intertemporal Substitution and Sectoral Comovement in a Sticky Price Model," Departmental Working Papers 2010-01, Department of Economics, Louisiana State University.

Articles

  1. Munechika Katayama & Kwang Hwan Kim, 2018. "Uncertainty Shocks and the Relative Price of Investment Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 163-178, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Munechika Katayama & Kwang Hwan Kim, 2010. "Intertemporal Substitution and Sectoral Comovement in a Sticky Price Model," Departmental Working Papers 2010-01, Department of Economics, Louisiana State University.

    Cited by:

    1. Federico Di Pace & Matthias S. Hertweck, 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Working Paper Series of the Department of Economics, University of Konstanz 2012-09, Department of Economics, University of Konstanz.
    2. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    3. Dey, Jaya & Tsai, Yi-Chan, 2012. "Explaining the durable goods co-movement puzzle with non-separable preferences: a bayesian approach," MPRA Paper 57805, University Library of Munich, Germany.
    4. Been-Lon Chen & Shian-Yu Liao, 2013. "Capital, Credit Constraints and the Comovement between Consumer Durables and Nondurables," IEAS Working Paper : academic research 13-A011, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    5. Hashmat Khan & Abeer Reza, 2013. "House Prices and Government Spending Shocks," Carleton Economic Papers 13-10, Carleton University, Department of Economics, revised 14 Sep 2016.
    6. Munechika Katayama & Kwang Hwan Kim, 2010. "Costly Labor Reallocation, Non-Separable Preferences, and Expectation Driven Business Cycles," Departmental Working Papers 2010-05, Department of Economics, Louisiana State University.

Articles

  1. Munechika Katayama & Kwang Hwan Kim, 2018. "Uncertainty Shocks and the Relative Price of Investment Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 163-178, October.

    Cited by:

    1. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil prices uncertainty, endogenous regime switching, and inflation anchoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 820-839, September.
    2. Bonciani, Dario & Oh, Joonseok Jason, 2019. "The long-run effects of uncertainty shocks," Bank of England working papers 802, Bank of England.
    3. Andrea Carriero & Alessio Volpicella, 2022. "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    4. OH, Joonseok; ROGANTINI PICCO, Anna, 2019. "Macro uncertainty and unemployment risk," Economics Working Papers ECO 2019/02, European University Institute.
    5. Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2023. "Brexit spillovers: how economic policy uncertainty affects foreign direct investment and international trade," The European Journal of Finance, Taylor & Francis Journals, vol. 29(16), pages 1913-1932, November.
    6. Cho, Daeha & Kim, Kwang Hwan, 2022. "Inefficient relative price fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    7. Ran, Gao & Zixiang, Zhu & Jianhao, Lin, 2022. "Consumption–investment comovement and the dynamic impact of monetary policy uncertainty in China," Economic Modelling, Elsevier, vol. 113(C).
    8. Felix Kapfhammer, 2023. "The Economic Consequences of Effective Carbon Taxes," Working Papers No 01/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Marcelo Arbex & Sidney Caetano & Wilson Correa, 2018. "Macroeconomic Effects of Inflation Target Uncertainty Shocks," Working Papers 1804, University of Windsor, Department of Economics.
    10. Kovalenko, Tim, 2021. "Uncertainty shocks and employment fluctuations in Germany: The role of establishment size," Discussion Papers 119, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    11. Joonseok Oh, 2020. "The Propagation Of Uncertainty Shocks: Rotemberg Versus Calvo," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1097-1113, August.
    12. 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.
    13. Goodness C. Aye & Laurence Harris, 2019. "The effect of real exchange rate volatility on income distribution in South Africa," WIDER Working Paper Series wp-2019-29, World Institute for Development Economic Research (UNU-WIDER).
    14. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    15. Chia‐Yi Yen & Yu‐Hsi Chou, 2020. "Understanding The Macroeconomic Impact Of Illiquidity Shocks In The United States," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1245-1278, July.
    16. OH, Joonseok, 2019. "The propagation of uncertainty shocks : Rotemberg vs. Calvo," Economics Working Papers ECO 2019/01, European University Institute.
    17. Tim Kovalenko, 2021. "Uncertainty shocks and employment fluctuations in Germany: the role of establishment size," Working Papers 212, Bavarian Graduate Program in Economics (BGPE).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Featured entries

This author is featured on the following reading lists, publication compilations, Wikipedia, or ReplicationWiki entries:
  1. Korean Economists

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Kwang Hwan Kim should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can 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.