期刊論文
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/72384 ) |