| 題名: | A Quasi-Bayesian Analysis of Structural Breaks: China’s Output and Productivity Series |
| 作者: | Xiao-Ming Li |
| 關鍵字: | structural change|predictive likelihood|GDP|labour productivity|China |
| 期刊名/會議名稱: | international journal of business and economics |
| 摘要: | A quasi-Bayesian model selection approach is employed to detect the number and dates of structural changes in China’s GDP and labour productivity data. It is shown that the predictive_x000D_ likelihood information criterion is valid only among models with well-behaved residuals. |
| ISSN: | issn16070704 |
| 日期: | 2004/04/01 |
| 分類: | Volume03,No.1 |
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