IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/101886.html
   My bibliography  Save this paper

Inflation dynamics in Tunisia: a smooth transition autoregressive approach

Author

Listed:
  • Boukraine, Wissem

Abstract

The fact that inflation is still on the rise, despite measures undertaken by the Tunisian central bank, prompts questions as to whether or not inflation dynamics has changed, exhibiting higher levels of persistence and volatility. This paper employs the smooth transition autoregressive model (STAR) to analyze Tunisian inflation dynamics on monthly data over the last three decades. We distinguish three periods based on monetary reforms. The non-linearity tests suggest that the ESTAR specification describes better the behavior of inflation. Our results suggest changes in persistence and important shifts in volatility, which confirm the effectiveness of the monetary reforms to a certain extent given the past political instability and the democratic transition in Tunisia.

Suggested Citation

  • Boukraine, Wissem, 2020. "Inflation dynamics in Tunisia: a smooth transition autoregressive approach," MPRA Paper 101886, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:101886
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/101886/1/MPRA_paper_101886.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amano, Robert, 2007. "Inflation persistence and monetary policy: A simple result," Economics Letters, Elsevier, vol. 94(1), pages 26-31, January.
    2. Zied Ftiti & Khaled Guesmi & Nguyen & Fr餩ric Teulon, 2015. "Modelling inflation shifts and persistence in Tunisia: perspectives from an evolutionary spectral approach," Applied Economics, Taylor & Francis Journals, vol. 47(57), pages 6200-6210, December.
    3. Gerlach, Stefan & Tillmann, Peter, 2012. "Inflation targeting and inflation persistence in Asia–Pacific," Journal of Asian Economics, Elsevier, vol. 23(4), pages 360-373.
    4. Perron, P, 1993. "Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis]," Econometrica, Econometric Society, vol. 61(1), pages 248-249, January.
    5. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    6. Robert J. Gordon & Stephen R. King, 1982. "The Output Cost of Disinflation in Traditional and Vector Autoregressive Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 205-244.
    7. Gordon, Robert J, 1982. "Price Inertia and Policy Ineffectiveness in the United States, 1890-1980," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1087-1117, December.
    8. Carl E. Walsh, 2009. "Inflation Targeting: What Have We Learned?," International Finance, Wiley Blackwell, vol. 12(2), pages 195-233, August.
    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. Wissem Boukraine & Hella Guerchi Mehri, 2022. "Should Tunisian Optimal Monetary Policy React to Wage Inflation? Evidence From A DSGE Model with Labor Market Frictions," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(1), pages 29-50.

    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. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875.
    2. Shyh-Wei Chen & Chi-Sheng Hsu & Cyun-Jhen Pen, 2016. "Are Inflation Rates Mean-reverting Processes? Evidence from Six Asian Countries," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 119-155, February.
    3. Agnieszka Leszczynska & Katarzyna Hertel, 2013. "Inflation persistence – a disaggregated approach," EcoMod2013 5692, EcoMod.
    4. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    5. Nidhal Mgadmi & Houssem Rachdi & Hichem Saidi & Khaled Guesmi, 2019. "On the Instability of Tunisian Money Demand: Some Empirical Issues with Structural Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 153-165, March.
    6. Canepa, Alessandra, 2024. "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    7. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    8. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    9. Cuneyt Dumrul & Yasemin Dumrul, 2015. "Price-Money Relationship after Infl ation Targeting: Co-integration Test with Structural Breaks for Turkey and Brazil," International Journal of Economics and Financial Issues, Econjournals, vol. 5(3), pages 701-708.
    10. Carlos Borondo, 1994. "La rigidez nominal de los precios de la Nueva Economía Keynesiana: una panorámica," Investigaciones Economicas, Fundación SEPI, vol. 18(2), pages 245-288, May.
    11. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    12. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    13. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    14. Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
    15. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2016. "Panel asymmetric nonlinear unit root test and PPP in Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 554-558, May.
    16. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    17. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    18. Saroja Selvanathan & E.A. Selvanathan & Brinda Viswanathan, 2009. "Causality between Foreign Direct Investment and Tourism : Empirical Evidence from India," Finance Working Papers 22944, East Asian Bureau of Economic Research.
    19. Wesam Salah Alaloul & Muhammad Ali Musarat & Muhammad Babar Ali Rabbani & Qaiser Iqbal & Ahsen Maqsoom & Waqas Farooq, 2021. "Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    20. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.

    More about this item

    Keywords

    Inflation; persistence; volatility; Smooth Transition Autoregressive; Tunisia;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:pra:mprapa:101886. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.