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Testing for convergence: evidence from non-parametric multimodality tests

  • Marco Bianchi
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    The convergence hypothesis in growth theory implies that the frequency of the density distribution of GDP in a cross-section of countries tends to approach unimodality as we move forward in time. The convergence theory in a cross-section of 119 countries is tested by means of bootstrap multimodality tests and non parametric density estimation techniques. By looking at the density distribution of GDP across countries in 1970, 1980 and 1989, increasing evidence for bimodality is found. The finding stands in contrast with the convergence prediction.

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    File URL: http://www.bankofengland.co.uk/archive/Documents/historicpubs/workingpapers/1995/wp36.pdf
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    Paper provided by Bank of England in its series Bank of England working papers with number 36.

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    Date of creation: Jun 1995
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    Handle: RePEc:boe:boeewp:36
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    1. Quah, Danny, 1995. "Measuring Core Inflation," CEPR Discussion Papers 1153, C.E.P.R. Discussion Papers.
    2. Danny Quah & Danny Quah & Shaun P. Vahey, 1995. "Measuring Core Inflation," CEP Discussion Papers dp0254, Centre for Economic Performance, LSE.
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