A Flexible Nonlinear Inference to the Kuznets Hypothesis
學年 93
學期 1
出版（發表）日期 2004-08-01
作品名稱 A Flexible Nonlinear Inference to the Kuznets Hypothesis
作品名稱（其他語言）
著者 黃河泉
單位 淡江大學財務金融學系
出版者
著錄名稱、卷期、頁數 Economics Letters 84(2), pp.289-296
摘要 Conventional approaches for examining the Kuznets hypothesis often assume a particular parametric (quadratic) specification among variables. In contrast, this study uses a flexible nonlinear inference approach proposed by Hamilton [Econometrica 69 (2001) 537; J. Econom. 113 (2003) 363] to test for the validity of an inverted-U shape of the Kuznets hypothesis. The new framework permits the data to determine whether or not the relation is nonlinear, what the nonlinearity looks like, and whether the relation can be adequately described by a specific parametric model. An empirical application suggests that there is dramatic evidence of nonlinearity and there exists an inverted-U relation between inequality and per capita GDP, confirming the Kuznets hypothesis. Moreover, we also test if the commonly used quadratic regression can adequately capture the nonlinearity and find that the simpler parametric model is able to describe the nonlinear relation suitably.
關鍵字 Kuznets hypothesis;Inverted-U;Flexible nonlinear inferenc
語言 en
ISSN 1873-7374
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 CHE
公開徵稿
出版型式 ,電子版
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