IDEAS home Printed from https://ideas.repec.org/a/ijb/journl/v3y2004i1p57-65.html
   My bibliography  Save this article

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

Author

Listed:
  • Xiao-Ming Li

    (Department of Commerce, Massey University-Albany, New Zealand)

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.

Suggested Citation

  • Xiao-Ming Li, 2004. "A Quasi-Bayesian Analysis of Structural Breaks: China's Output and Productivity Series," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 57-65, April.
    • Handle: RePEc:ijb:journl:v:3:y:2004:i:1:p:57-65
    as

    Download full text from publisher

    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.03-1/pdf/vol_3-1-7.pdf
    Download Restriction: no
    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.03-1/abstract/07.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raj, Baldev & Slottje, Daniel J, 1994. "The Trend Behavior of Alternative Income Inequality Measures in the United States from 1947-1990 and the Structural Break," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 479-487, October.
    2. Ben-David, Dan & Papell, David H, 2000. "Some Evidence on the Continuity of the Growth Process among the G-7 Countries," Economic Inquiry, Western Economic Association International, vol. 38(2), pages 320-330, April.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Wang, Jiahui & Zivot, Eric, 2000. "A Bayesian Time Series Model of Multiple Structural Changes in Level, Trend, and Variance," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 374-386, July.
    5. Dan Ben-David & David H. Papell, 1998. "Slowdowns And Meltdowns: Postwar Growth Evidence From 74 Countries," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 561-571, November.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    8. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    9. Nunes, Luis C & Newbold, Paul & Kuan, Chung-Ming, 1997. "Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis Reconsidered," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 435-448, November.
    10. Angelos Kanas, 1998. "Testing for a unit root in ERM exchange rates in the presence of structural breaks: evidence from the bootstrap," Applied Economics Letters, Taylor & Francis Journals, vol. 5(7), pages 407-410.
    11. Inwood, Kris & Stengos, Thanasis, 1991. "Discontinuities in Canadian economic growth, 1870-1985," Explorations in Economic History, Elsevier, vol. 28(3), pages 274-286, July.
    12. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.
    13. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    14. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 2003. "Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks," Empirical Economics, Springer, vol. 28(2), pages 303-319, April.
    15. Vogelsang, Timothy J., 1997. "Wald-Type Tests for Detecting Breaks in the Trend Function of a Dynamic Time Series," Econometric Theory, Cambridge University Press, vol. 13(6), pages 818-848, December.
    16. Newbold, Paul & Leybourne, Stephen & Wohar, Mark E., 2001. "Trend-stationarity, difference-stationarity, or neither: further diagnostic tests with an application to U.S. Real GNP, 1875-1993," Journal of Economics and Business, Elsevier, vol. 53(1), pages 85-102.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agiwal Varun & Kumar Jitendra & Shangodoyin Dahud Kehinde, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panelar (1) Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 7-23, March.
    2. Varun Agiwal & Jitendra Kumar & Dahud Kehinde Shangodoyin, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panel Ar (1) Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 7-23, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohitosh Kejriwal & Claude Lopez, 2013. "Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 892-927, November.
    2. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "Unemployment hysteresis in OECD countries: Centurial time series evidence with structural breaks," Economic Modelling, Elsevier, vol. 25(2), pages 312-325, March.
    3. Omid Ranjbar & Xiao-Lin Li & Tsangyao Chang & Chien-Chiang Lee, 2015. "Stability of long-run growth in East Asian countries: New evidence from panel stationarity test with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 24(4), pages 570-589, June.
    4. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    5. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    6. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    7. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working papers 2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
    8. Shyh-Wei Chen, 2008. "Are 19 Developed Countries' Real Per Capita GDP levels Non-stationary? A Revisit," Economics Bulletin, AccessEcon, vol. 3(2), pages 1-11.
    9. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2019. "Unemployment rate hysteresis and the great recession: exploring the metropolitan evidence," Empirical Economics, Springer, vol. 56(1), pages 61-79, January.
    10. Paresh Kumar Narayan & Seema Narayan, 2010. "Are business cycles stationary fluctuations around a deterministic trend? Empirical evidence from 79 developing countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(6), pages 649-664.
    11. Marcela Sabaté, 2009. "Vertical Specialization and Nonstationarities in International Trade Series," The Institute for International Integration Studies Discussion Paper Series iiisdp309, IIIS.
    12. Nuno Sobreira & Luis C. Nunes & Paulo M. M. Rodrigues, 2014. "Characterizing Economic Growth Paths Based On New Structural Change Tests," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 845-861, April.
    13. Miljkovic, Dragan & Paul, Rodney, 2003. "Agricultural trade in North America: Trade creation, regionalism and regionalisation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 1-18, September.
    14. Charles, Amélie & Darné, Olivier, 2012. "Trends and random walks in macroeconomic time series: A reappraisal," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 167-180.
    15. repec:ebl:ecbull:v:3:y:2008:i:2:p:1-11 is not listed on IDEAS
    16. Diego Romero-Ávila, 2012. "Multiple trend shifts and unit roots in US state income levels: implications for long-run growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 641-661, June.
    17. Ayala, Astrid & Blazsek, Szabolcs, 2013. "Structural breaks in public finances in Central and Eastern European countries," Economic Systems, Elsevier, vol. 37(1), pages 45-60.
    18. Marashdeh, Hazem & Wilson, E.J., 2005. "Structural Changes in the Middle East Stock Markets: The case of Israel and Arab Countries," Economics Working Papers wp05-22, School of Economics, University of Wollongong, NSW, Australia.
    19. Noriega, Antonio E. & Soria, Luis M. & Velázquez, Ramón, 2008. "International evidence on stochastic and deterministic monetary neutrality," Economic Modelling, Elsevier, vol. 25(6), pages 1261-1275, November.
    20. Sobreira, Nuno & Nunesz, Luis C. & Rodriguesz, Paulo M. M., 2012. "Neoclassical, semi-endogenous or endogenous growth theory? Evidence based on new structural change tests," Insper Working Papers wpe_291, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    21. Kornelis, Marcel & Dekimpe, Marnik G. & Leeflang, Peter S.H., 2008. "Does competitive entry structurally change key marketing metrics?," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 173-182.

    More about this item

    Keywords

    structural change; predictive likelihood; GDP; labour productivity; China;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijb:journl:v:3:y:2004:i:1:p:57-65. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Szu-Hsien Ho (email available below). General contact details of provider: https://edirc.repec.org/data/cbfcutw.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.