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Testing for Structural Change in Panel Data: Application to a Study of U.S. Foreign Trade in Manufacturing Goods

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  • Han, Aaron K
  • Park, Daekeun

Abstract

A multivariate cusum test, along with extensions for partitioned parameters, serial correlation, and error components, is developed for panel data analysis. These techniques are then applied to a study of U.S. foreign trade in manufacturing goods examining changes in the determinants, i.e., the relationships between the factor contents and the net exports. Copyright 1989 by MIT Press.

Suggested Citation

  • Han, Aaron K & Park, Daekeun, 1989. "Testing for Structural Change in Panel Data: Application to a Study of U.S. Foreign Trade in Manufacturing Goods," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 135-142, February.
  • Handle: RePEc:tpr:restat:v:71:y:1989:i:1:p:135-42
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    Cited by:

    1. Huang, Chao-Hsi & Lin, Kenneth S., 1993. "Deficits, government expenditures, and tax smoothing in the United States: 1929-1988," Journal of Monetary Economics, Elsevier, vol. 31(3), pages 317-339, June.
    2. Felix Chan Tommaso Mancini-Griffoli Laurent L. Pauwels, 2006. "Stability Tests for Heterogeneous Panel Data," IHEID Working Papers 24-2006, Economics Section, The Graduate Institute of International Studies, revised Dec 2006.
    3. Pauwels Laurent L. & Chan Felix & Mancini Griffoli Tommaso, 2012. "Testing for Structural Change in Heterogeneous Panels with an Application to the Euro's Trade Effect," Journal of Time Series Econometrics, De Gruyter, vol. 4(2), pages 1-35, November.
    4. Gebrenegus Ghilagaber, 2004. "Another Look at Chow's Test for the Equality of Two Heteroscedastic Regression Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(1), pages 81-93, February.
    5. James Kroes & Ravi Subramanian & Ramanath Subramanyam, 2012. "Operational Compliance Levers, Environmental Performance, and Firm Performance Under Cap and Trade Regulation," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 186-201, April.
    6. John Schroeter & Aju Fenn, 2005. "Structural change in cigarette demand: cusum tests using panel data," Economics Bulletin, AccessEcon, vol. 9(8), pages 1-11.
    7. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2007. "Modelling and Testing for Structural Changes in Panel Cointegration Models with Common and Idiosyncratic Stochastic Trend," Center for Policy Research Working Papers 92, Center for Policy Research, Maxwell School, Syracuse University.
    8. Kraft, Kornelius & Lammers, Alexander, 2021. "Bargaining Power and the Labor Share - a Structural Break Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242342, Verein für Socialpolitik / German Economic Association.
    9. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    10. Chandan Sharma & Sanjay Sehgal, 2010. "Impact of infrastructure on output, productivity and efficiency," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 3(2), pages 100-121, September.
    11. Jamie Emerson & Chihwa Kao, 2000. "Testing for Structural Change of a Time Trend Regression in Panel Data," Center for Policy Research Working Papers 15, Center for Policy Research, Maxwell School, Syracuse University.
    12. Bada, O. & Kneip, A. & Liebl, D. & Mensinger, T. & Gualtieri, J. & Sickles, R.C., 2022. "A wavelet method for panel models with jump discontinuities in the parameters," Journal of Econometrics, Elsevier, vol. 226(2), pages 399-422.
    13. repec:ebl:ecbull:v:9:y:2005:i:8:p:1-11 is not listed on IDEAS
    14. Aparna Sengupta, 2017. "Testing for a Structural Break in a Spatial Panel Model," Econometrics, MDPI, vol. 5(1), pages 1-17, March.
    15. Baltagi, Badi H. & Hidalgo, Javier & Li, Qi, 1996. "A nonparametric test for poolability using panel data," Journal of Econometrics, Elsevier, vol. 75(2), pages 345-367, December.

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