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Central Bank Independence and Growth: A Sensitivity Analysis


  • Hafiz A. Akhand


In this paper, the Levine-Renelt robustness test is employed to examine the robustness of the empirical relationship between growth and various proxies for central bank independence. Experiments are made with a wide variety of the most comprehensive systematic measures of central bank independence currently available. The Levine-Renelt test implies that growth is not robustly correlated with central bank independence.

Suggested Citation

  • Hafiz A. Akhand, 1998. "Central Bank Independence and Growth: A Sensitivity Analysis," Canadian Journal of Economics, Canadian Economics Association, vol. 31(2), pages 303-317, May.
  • Handle: RePEc:cje:issued:v:31:y:1998:i:2:p:303-317

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    References listed on IDEAS

    1. Ambler, Steve & Paquet, Alain, 1996. "Fiscal spending shocks, endogenous government spending, and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 237-256.
    2. Ambler, Steven & Cardia, Emanuela & Phaneuf, Louis, 1992. "Contrats de salaire, croissance endogène et fluctuations," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 175-204, mars et j.
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    Cited by:

    1. Francesc Trillas & Miguel Angel Montoya, 2008. "The degree of commitment to regulator independence: measurement and impact," Hacienda Pública Española, IEF, vol. 185(2), pages 89-114, July.
    2. Haan, Jakob de & Kooi, Willem J., 2000. "Does central bank independence really matter?: New evidence for developing countries using a new indicator," Journal of Banking & Finance, Elsevier, vol. 24(4), pages 643-664, April.
    3. Maneschiöld, Per-Ola, 2010. "Consumption in Urban China and Monetary Policy - Consumi nelle aree urbane della Cina e politica monetaria," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(3), pages 305-327.
    4. Bernard J Laurens & Marco Arnone & Jean-François Segalotto, 2006. "The Measurement of Central Bank Autonomy; Survey of Models, Indicators, and Empirical Evidence," IMF Working Papers 06/227, International Monetary Fund.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence


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