完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Xiao-Ming Li | |
| dc.date.accessioned | 2020-08-25T06:17:48Z | - |
| dc.date.available | 2020-08-25T06:17:48Z | - |
| dc.date.issued | 2004/04/01 | |
| dc.identifier.issn | issn16070704 | |
| dc.identifier.uri | http://dspace.fcu.edu.tw/handle/2376/2221 | - |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | 逢甲大學 | |
| dc.format.extent | 9 | |
| dc.language.iso | 英文 | |
| dc.relation.ispartofseries | international journal of business and economics | |
| dc.relation.isversionof | Volume3No1 | |
| dc.subject | structural change|predictive likelihood|GDP|labour productivity|China | |
| dc.title | A Quasi-Bayesian Analysis of Structural Breaks: China’s Output and Productivity Series | |
| dc.type | 期刊篇目 | |
| 分類: | Volume03,No.1 | |
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