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Panel Data Analysis of the Proposed Monetary Union in the Southern African Development Community

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  • Mulatu Fekadu Zerihun

    () (Tshwane University of Technology, South Africa)

  • Marthinus C. Breitenbach

    () (University of Pretoria, South Africa)

Abstract

This paper examines the sensibility of a proposed monetary union in the Southern African Development Community (SADC). The study hypothesizes that the majority of the economies in the SADC region are candidates for a monetary union. We test this hypothesis against one of the prime optimal currency area (OCA) theory criteria, namely economic homogeneity with reference to real exchange rates. The quantitative analysis encompasses monthly data of 11 SADC member countries over the period 1995-2016. We use first and second generation panel unit root tests and panel cointegration tests to test mainly for stationarity and cointegration of real exchange rate series for the group of SADC countries. The findings from this study confirm that there is stationarity and cointegration of the real exchange rate series among the 11 SADC member countries included in this study. These countries can be potential candidates to form the proposed monetary union in the SADC region. Economic homogeneity i.e. economies with common structural and institutional characteristics, is one of the requirements to be fulfilled prior to joining monetary union. It reduces the impact of asymmetric shocks to a group of countries forming a monetary union. Economic homogeneity is observed where real exchange rates of countries tend to move together and mean-reversion behavior reveals how well real exchange rates adjust back to equilibrium after experiencing an asymmetric shock. This result has important policy implications for the proposed monetary union in the SADC region.

Suggested Citation

  • Mulatu Fekadu Zerihun & Marthinus C. Breitenbach, 2017. "Panel Data Analysis of the Proposed Monetary Union in the Southern African Development Community," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(4), pages 23-44, October-D.
    • Handle: RePEc:spd:journl:v:67:y:2017:i:4:p:23-44
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    References listed on IDEAS

    as
    1. Mulatu F. Zerihun & Marthinus C. Breitenbach & Francis Kemegue, 2014. "A Greek Wedding In SADC? Testing For Structural Symmetry Towards SADC Monetary Integration," The African Finance Journal, Africagrowth Institute, vol. 16(2), pages 16-33.
    2. Simplice Asongu, 2014. "Are proposed African monetary unions optimal currency areas? Real, monetary and fiscal policy convergence analysis," African Journal of Economic and Management Studies, Emerald Group Publishing, vol. 5(1), pages 9-29, April.
    3. Ageliki Anagnostou & Dimitris Kallioras & George Petrakos, 2016. "Integrating the Neighbors: A Dynamic Panel Analysis of the EU-ENP Countries’ Trade Relations," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(1), pages 17-42, March.
    4. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    5. Menzie Chinn, 2006. "A Primer on Real Effective Exchange Rates: Determinants, Overvaluation, Trade Flows and Competitive Devaluation," Open Economies Review, Springer, vol. 17(1), pages 115-143, January.
    6. Mulatu Fekadu Zerihun & Martinus C. Breitenbach & Francis Kemegue, 2016. "Exploring exchange rate based policy coordination in SADC," Studies in Economics and Finance, Emerald Group Publishing, vol. 33(4), pages 576-594, October.
    7. Richard Pomfret, 2005. "Currency Areas in Theory and Practice," The Economic Record, The Economic Society of Australia, vol. 81(253), pages 166-176, June.
    8. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    9. Fernando M. Martin & Christopher J. Waller, 2012. "Sovereign debt: a modern Greek tragedy," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 321-340.
    10. Simplice Asongu, 2016. "New empirics of monetary policy dynamics: evidence from the CFA franc zones," African Journal of Economic and Management Studies, Emerald Group Publishing, vol. 7(2), pages 164-204, June.
    11. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    12. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LP, vol. 8(2), pages 232-241, June.
    13. Ronald I. McKinnon, 2004. "Optimum Currency Areas and Key Currencies: Mundell I versus Mundell II," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 689-715, November.
    14. Ucar, Nuri & Omay, Tolga, 2009. "Testing for unit root in nonlinear heterogeneous panels," Economics Letters, Elsevier, vol. 104(1), pages 5-8, July.
    15. Nagayasu, Jun, 2002. "Does the Long-Run PPP Hypothesis Hold for Africa? Evidence from a Panel Cointegration Study," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 181-187, April.
    16. John Bosco Nnyanzi, 2015. "Welfare gains, risk-sharing and Africa’s monetary union projects," African Journal of Economic and Management Studies, Emerald Group Publishing, vol. 6(4), pages 416-430, December.
    17. Zsolt Darvas, 2012. "The euro crisis- ten roots, but fewer solutions," Policy Contributions 755, Bruegel.
    18. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    19. Lau, Chi Keung Marco & Suvankulov, Farrukh & Su, Yongyang & Chau, Frankie, 2012. "Some cautions on the use of nonlinear panel unit root tests: Evidence from a modified series-specific non-linear panel unit-root test," Economic Modelling, Elsevier, vol. 29(3), pages 810-816.
    20. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    21. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
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    More about this item

    Keywords

    Optimum Currency Area; Monetary Union; Real Exchange Rate; Panel Cointegration; Panel Unit Root test;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F15 - International Economics - - Trade - - - Economic Integration
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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