IDEAS home Printed from https://ideas.repec.org/p/ctn/dpaper/2016-05.html

Forecasting South African Macroeconomic Variables with a Markov-Switching Small Open-Economy Dynamic Stochastic General Equilibrium Model

Author

Listed:
  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Kevin Kotze

    (School of Economics, University of Cape Town)

Abstract

This paper seeks to identify evidence of regime-switching behaviour in the monetary policy response function and the variance of the shocks. It makes use of various specifications of a small open-economy Markov-switching dynamic stochastic general equilibrium (DSGE) model that is applied to South African data from 1989 to 2014. While the in-sample statistics suggest that some of the regime-switching models may provide superior results, the out-of-sample statistics suggest that the inclusion of various forms of regime-switching does not significantly improve upon the forecasting performance of the model. The results also suggest that the central bank response function has been consistently applied over the sample period.

Suggested Citation

  • Mehmet Balcilar & Rangan Gupta & Kevin Kotze, 2016. "Forecasting South African Macroeconomic Variables with a Markov-Switching Small Open-Economy Dynamic Stochastic General Equilibrium Model," School of Economics Macroeconomic Discussion Paper Series 2016-05, School of Economics, University of Cape Town.
  • Handle: RePEc:ctn:dpaper:2016-05
    as

    Download full text from publisher

    File URL: https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxzb2VtYWNyb2Vjb3xneDo3N2RhZjM2NTM1OWNjY2Qx
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Rangan Gupta & Hylton Hollander & Rudi Steinbach, 2020. "Forecasting output growth using a DSGE-based decomposition of the South African yield curve," Empirical Economics, Springer, vol. 58(1), pages 351-378, January.
    2. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
    3. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Monetary Policy, Financial Frictions and Structural Changes: A Markov-Switching DSGE approach," School of Economics Macroeconomic Discussion Paper Series 2017-05, School of Economics, University of Cape Town.
    4. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2020. "The Effectiveness Of Monetary Policy In South Africa Under Inflation Targeting: Evidence from a Time-Varying Factor-Augmented Vector Autoregressive Model," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(4), pages 55-73, October-D.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ctn:dpaper:2016-05. 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: Kevin Kotze (email available below). General contact details of provider: https://edirc.repec.org/data/seuctza.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.