IDEAS home Printed from https://ideas.repec.org/a/ris/apecjn/0045.html
   My bibliography  Save this article

Regime Switches in Pakistan’s Fiscal Policy: Markov-Switching VAR Approach

Author

Listed:
  • Ali, Wajid

    (Eastern Mediterranean University,NorthCyprus, Turkey)

  • Ahmad, Iftikhar

    (Sustainable Development Policy Institute,Islamabad, Pakistan)

  • Rafiq, Sara

    (Women University Mardan, Pakistan)

Abstract

Pakistan’s economy experienced many ups and downs during the last four decades. These structural shifts (asymmetries) cannot be detected via linear econometric models. This paper employs the Markov Regime-Switching vector autoregression (MS-VAR) model with time-varying transition probabilities to identify the high and low growth regimes. After establishing structural shifts in the data, next,we estimate the linear VAR model in each regime to test the effects of fiscal shocks on output, and we also test the twin deficit hypothesis as well as the crowding-out investment effect. Different specifications of MS-VAR models with Constant Transition Probability (CTP) and time-varying transition probability (TVTP) were tested, among which the best fit model with four regimes is chosenfor analysis. The four regimes identified are the low growth regimes from 1973 to 1979 and from 1989 to 1999 and the high growth regimes from 1980 to 1988 and from 2000 to 2010. The results from the subsample analysis show that the response of output to positive spending shock is increasing in high growth regimes and decreasing in low growth regimes. Similarly, a tax shock has a statistically insignificant impact on output except for the last regime where a tax shock is positively associated with output growth. An expansionary fiscal policy crowds-out private investment in low growth regimes (i.e. in first and third regimes) while a positive effect on private investment is observed during high growth regimes (second and fourth regimes). Lastly, twin deficitis observed in all regimes.

Suggested Citation

  • Ali, Wajid & Ahmad, Iftikhar & Rafiq, Sara, 2020. "Regime Switches in Pakistan’s Fiscal Policy: Markov-Switching VAR Approach," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 27(2), pages 45-76, December.
  • Handle: RePEc:ris:apecjn:0045
    as

    Download full text from publisher

    File URL: https://so01.tci-thaijo.org/index.php/AEJ/article/view/239901/164335
    File Function: Full text
    Download Restriction: Asian Journal of Applied Economics/ Applied Economics Journal
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    fiscal policy; twin deficit hypothesis; Markov-switching VAR;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General

    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:ris:apecjn:0045. 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: Arannee Tongjankaew (email available below). General contact details of provider: https://edirc.repec.org/data/feckuth.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.