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| Canova, Fabio. |
| The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per-capita of OECD countries has two poles of attraction and each group has clearly identifiable economics characteristics. In diesem Beitrag wird eine Methode vorgestellt, mit der es möglich ist, Gruppierungen von Querschnittsdaten von zunächst unbekanntem Umfang... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Heterogeneities; Panel Data; Predictive Density; Income Inequality; International Development; C11; D90; 047. |
| Ano: 2001 |
URL: http://purl.umn.edu/26361 |
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| Dincer, Oguzhan C.; Gunalp, Burak. |
| In this study we analyze the effects of corruption on income inequality and poverty. Our analysis advances the existing literature in four ways. First, instead of using corruption indices assembled by various investment risk services, we use an objective measure of corruption: the number of public officials convicted in a state for crimes related to corruption. Second, we use all commonly used inequality and poverty measures including various Atkinson indexes, Gini index, standard deviation of the logarithms, relative mean deviation, coefficient of variation, and the poverty rate defined by the U.S. Census Bureau. Third, we minimize the problems which are likely to arise due to data incomparability by examining the differences in income inequality, and... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Corruption; Income Inequality; Poverty; D31; D73; I32. |
| Ano: 2008 |
URL: http://purl.umn.edu/37848 |
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