A Quasi-Bayesian Analysis of Structural Breaks: China's Output and Productivity Series

Xiao-Ming Li

International Journal of Business and Economics, 2004, vol. 3, issue 1, 57-65

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 likelihood information criterion is valid only among models with well-behaved residuals.

Keywords: structural change; predictive likelihood; GDP; labour productivity; China (search for similar items in EconPapers)
JEL-codes: C22 E30 (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.03-1/pdf/vol_3-1-7.pdf (application/pdf)
https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.03-1/abstract/07.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ijb:journl:v:3:y:2004:i:1:p:57-65

Access Statistics for this article

International Journal of Business and Economics is currently edited by Hsiang-Tsai Chiang (Editor-in-Chief), Chiung-Ju Huang (Editor-in-Chief), Feng-Jyh Lin (Associate Editor), Tzu-Ching Weng (Associate Editor), Hsin-Yi Huang (Managing Editor) and Szu-Hsien Ho (Managing Editor)

More articles in International Journal of Business and Economics from School of Management Development, Feng Chia University, Taichung, Taiwan Contact information at EDIRC.
Bibliographic data for series maintained by Szu-Hsien Ho ().