Evidence of Convergence Clubs Using Mixture Models
Evidence of Convergence Clubs Using Mixture Models
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DOI：
10.1080/07474938.2014.977062
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发表时间：
2016-08
影响因子：
1.2
通讯作者：
M. G. Pittau;Roberto Zelli;Riccardo Massari
中科院分区：
文献类型：
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作者：
M. G. Pittau;Roberto Zelli;Riccardo Massari
跨国经济趋同越来越多地被有限混合模型所研究。混合物中的多个组成部分反映了在当地趋同的国家集团。测试组件的数量对于检测“收敛俱乐部”至关重要。为了评估混合物的成分的数量，我们提出了一个顺序的过程，比较形状的假设的混合物分布与真实的未知密度，一致估计通过核估计。我们的方法的新奇是它的能力，选择组件的数量沿着与一个令人满意的拟合模型。通过对各国人均收入分布的模拟研究和实证分析，证明了本文方法的有效性。三个俱乐部的趋同似乎正在出现。
Cross-country economic convergence has been increasingly investigated by finite mixture models. Multiple components in a mixture reflect groups of countries that converge locally. Testing for the number of components is crucial for detecting “convergence clubs.” To assess the number of components of the mixture, we propose a sequential procedure that compares the shape of the hypothesized mixture distribution with the true unknown density, consistently estimated through a kernel estimator. The novelty of our approach is its capability to select the number of components along with a satisfactory fitting of the model. Simulation studies and an empirical application to per capita income distribution across countries testify for the good performance of our approach. A three-clubs convergence seems to emerge.