IDEAS home Printed from https://ideas.repec.org/a/spr/jqecon/v17y2019i1d10.1007_s40953-018-0123-x.html
   My bibliography  Save this article

On the Instability of Tunisian Money Demand: Some Empirical Issues with Structural Breaks

Author

Listed:
  • Nidhal Mgadmi

    (University of Jendouba)

  • Houssem Rachdi

    (Tunisia & IPAG Business School)

  • Hichem Saidi

    (University of Manouba)

  • Khaled Guesmi

    (IPAG Business School)

Abstract

This paper focuses on the causes of instability of money demand in Tunisia between 1973 and 2013. It has been argued that the main explanatory factors of money demand are national income, monetary market rate and exchange rate. We tested Ambler and McKinnon hypothesis (1985), which assumes that instability is explained by the absence of the nominal exchange rate in the specification of money demand. We found that structural changes are explained by the dependence of the national economy to world shocks, the IMF’s structural adjustment programme at the end of 1986.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jqecon:v:17:y:2019:i:1:d:10.1007_s40953-018-0123-x
    DOI: 10.1007/s40953-018-0123-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40953-018-0123-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40953-018-0123-x?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
    ---><---

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

    References listed on IDEAS

    as
    1. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    2. K.r. Todani, 2007. "Long‐Run M3 Demand In South Africa: A Cointegrated Var Model," South African Journal of Economics, Economic Society of South Africa, vol. 75(4), pages 681-692, December.
    3. Pierce, David A. & Haugh, Larry D., 1977. "Causality in temporal systems : Characterization and a survey," Journal of Econometrics, Elsevier, vol. 5(3), pages 265-293, May.
    4. 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.
    5. Mohsen Bahmani‐Oskooee & Abera Gelan, 2009. "How stable is the demand for money in African countries?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 36(3), pages 216-235, July.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    8. Michael L. Bagshaw, 1983. "Extension of Granger causality in multivariate time series models," Working Papers (Old Series) 8303, Federal Reserve Bank of Cleveland.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    10. Pierce, David A., 1975. "Forecasting in dynamic models with stochastic regressors," Journal of Econometrics, Elsevier, vol. 3(4), pages 349-374, November.
    11. Claudia Buch, 2001. "Money demand in Hungary and Poland," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 989-999.
    12. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    13. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    14. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    15. Larry D. Haugh & David A. Pierce, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
    16. 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.
    17. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    18. Mohsen Bahmani-Oskooee & Hafez Rehman, 2005. "Stability of the money demand function in Asian developing countries," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 773-792.
    19. Pradhan, Basanta K. & Subramanian, A., 2003. "On the stability of demand for money in a developing economy: Some empirical issues," Journal of Development Economics, Elsevier, vol. 72(1), pages 335-351, October.
    20. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    21. McKinnon, Ronald I, et al, 1984. "International Influences on the U.S. Economy: Summary of an Exchange," American Economic Review, American Economic Association, vol. 74(5), pages 1132-1134, December.
    Full references (including those not matched with items on IDEAS)

    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. S. Gurcan Gulen, 1996. "Is OPEC a Cartel? Evidence from Cointegration and Causality Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-57.
    2. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2019. "Unemployment rate hysteresis and the great recession: exploring the metropolitan evidence," Empirical Economics, Springer, vol. 56(1), pages 61-79, January.
    3. Nuno Sobreira & Luis C. Nunes & Paulo M. M. Rodrigues, 2014. "Characterizing Economic Growth Paths Based On New Structural Change Tests," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 845-861, April.
    4. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, June.
    5. Purba Roy Choudhury & Biswajit Chatterjee, 2017. "Growth in India’s Service Sector: Implications of Structural Breaks," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 75-99, March.
    6. Bruce E. Hansen, 2001. "The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 117-128, Fall.
    7. Max Gillman & Anton Nakov, 2004. "Granger causality of the inflation–growth mirror in accession countries," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(4), pages 653-681, December.
    8. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    9. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    10. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    11. Mohitosh Kejriwal & Claude Lopez, 2013. "Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 892-927, November.
    12. Perron, Pierre & Zhu, Xiaokang, 2005. "Structural breaks with deterministic and stochastic trends," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 65-119.
    13. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    14. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    15. Miljkovic, Dragan & Paul, Rodney, 2003. "Agricultural trade in North America: Trade creation, regionalism and regionalisation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 1-18, September.
    16. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2015. "“On the bi-directional causal relationship between public debt and economic growth in EMU countries”," IREA Working Papers 201512, University of Barcelona, Research Institute of Applied Economics, revised May 2015.
    17. Kurozumi, Eiji, 2002. "Testing for stationarity with a break," Journal of Econometrics, Elsevier, vol. 108(1), pages 63-99, May.
    18. Vicente Esteve, 2004. "Política fiscal y productividad del trabajo en la economía española: un análisis de series temporales," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 3-29, June.
    19. ŞENTÜRK, İsmail & Ali, Amjad, 2019. "Socioeconomic Determinants of Gender Specific Life Expectancy in Turkey: A Time Series Analysis," MPRA Paper 97815, University Library of Munich, Germany.
    20. Svetlana Maslyuk & Dinusha Dharmaratna, 2012. "Impact of Shocks on Australian Coal Mining," Monash Economics Working Papers 37-12, Monash University, Department of Economics.

    More about this item

    Keywords

    Money demand; Structural change tests; Causality tests; Stability tests;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:spr:jqecon:v:17:y:2019:i:1:d:10.1007_s40953-018-0123-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.