IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v81y2019i5p960-988.html
   My bibliography  Save this article

What Determines the Sacrifice Ratio? A Bayesian Model Averaging Approach

Author

Listed:
  • Hajime Katayama
  • Natalia Ponomareva
  • Malvin Sharma

Abstract

Existing empirical studies on the sacrifice ratio (measuring the output cost of disinflation) consider a large number of potential explanatory variables including the length of disinflation, various institutional settings, economic conditions, and the political climate. Some results are robust across different studies, while others are not. We address the presence of model uncertainty by using the Bayesian model averaging method to identify the important determinants of the sacrifice ratio, without relying on ad hoc model selection. Our results show that the length of disinflation is the most important variable. This supports the ‘cold turkey’ argument for faster disinflation.

Suggested Citation

  • Hajime Katayama & Natalia Ponomareva & Malvin Sharma, 2019. "What Determines the Sacrifice Ratio? A Bayesian Model Averaging Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 960-988, October.
  • Handle: RePEc:bla:obuest:v:81:y:2019:i:5:p:960-988
    DOI: 10.1111/obes.12304
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/obes.12304
    Download Restriction: no

    File URL: https://libkey.io/10.1111/obes.12304?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    2. Goran Petrevski, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," Papers 2305.17474, arXiv.org.
    3. Gibbs, Christopher G. & Kulish, Mariano, 2017. "Disinflations in a model of imperfectly anchored expectations," European Economic Review, Elsevier, vol. 100(C), pages 157-174.
    4. Robert J. Tetlow, 2022. "How Large is the Output Cost of Disinflation?," Finance and Economics Discussion Series 2022-079, Board of Governors of the Federal Reserve System (U.S.).
    5. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Chris Loewald & Konstantin Makrelov & Ekaterina Pirozhkova, 2022. "TheshorttermcostsofreducingtrendinflationinSouthAfrica," Working Papers 11029, South African Reserve Bank.
    7. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model," Working Papers 2007, Department of Applied Economics II, Universidad de Valencia.
    8. Martin Stojanovikj & Goran Petrevski, 2024. "Inflation targeting and disinflation costs in Emerging Market economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 283-312, February.
    9. Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Inflation-output trade-off: Old measures, new determinants?," Journal of Macroeconomics, Elsevier, vol. 65(C).
    10. Camarero, Mariam & Moliner, Sergi & Tamarit, Cecilio, 2021. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging," Japan and the World Economy, Elsevier, vol. 57(C).

    More about this item

    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:bla:obuest:v:81:y:2019:i:5:p:960-988. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.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.