Testing for convergence: evidence from non-parametric multimodality tests
AbstractThe 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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Bibliographic InfoPaper provided by Bank of England in its series Bank of England working papers with number 36.
Date of creation: Jun 1995
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- Danny Quah & Shaun Vahey, 1995.
"Measuring Core Inflation,"
Bank of England working papers
31, Bank of England.
- Andrea Brasili & Paolo Epifani & Rodolfo Helg, 2000.
"On the Dynamics of Trade Patterns,"
KITeS Working Papers
115, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jul 2000.
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