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Structural breaks and unit root: evidence from Pakistani macroeconomic time series

  • Waheed, Muhammad
  • Alam, Tasneem
  • Ghauri, Saghir Pervaiz

The purpose of this paper is to examine the unit root properties of eleven Pakistani macroeconomic series using annual data. Along with traditional unit root tests, we use the procedure developed by Zivot and Andrews to test the null of unit root against the break-stationary alternative. Conventional unit root tests indicate that all variable are non-stationary at the levels. Results from Zivot and Andrews test suggest that we can reject the null of unit root for CPI and WPI at 5 percent significance level while we fail to reject the unit root hypothesis for the remaining 9 series. At the same time, the Zivot and Andrews test identifies endogenously the point of the single most significant structural break in every time series examined. The results show that ten of the eleven series studied bear witness to the presence of a structural break during the period 1972 to 1976.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 1797.

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Date of creation: 15 Dec 2006
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Handle: RePEc:pra:mprapa:1797
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  1. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
  2. Anne Morrison Piehl & Suzanne J. Cooper & Anthony A. Braga & David M. Kennedy, 2003. "Testing for Structural Breaks in the Evaluation of Programs," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 550-558, August.
  3. Ben-David, D. & Papell, D.H., 1996. "Slowdowns and Meltdowns: Post-War Growth Evidence from 74 Countries," Papers 9-96, Tel Aviv.
  4. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  5. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-87, July.
  6. Sen, Amit, 2003. "On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 174-84, January.
  7. Laurence Ball, 1993. "The Dynamics of High Inflation," NBER Working Papers 4578, National Bureau of Economic Research, Inc.
  8. Lawrence J. Christiano, 1988. "Searching For a Break in GNP," NBER Working Papers 2695, National Bureau of Economic Research, Inc.
  9. Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-70, July.
  10. Christiano, Lawrence J. & Eichenbaum, Martin, 1990. "Unit roots in real GNP: Do we know, and do we care?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 7-61, January.
  11. PareshKumar Narayan & Russell Smyth, 2005. "Structural Breaks And Unit Roots In Australian Macroeconomic Time Series," Pacific Economic Review, Wiley Blackwell, vol. 10(4), pages 421-437, December.
  12. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
  13. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
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