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A Sequential Procedure for Testing Unit Roots in the Presence of Structural Break in Time Series Data: An Application to Quarterly Data of Nepal, 1970-2003

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  • Shrestha, M.B.
  • Chowdhury, K.

Abstract

Testing for unit roots has special significance in terms of both economic theory and the interpretation of estimation results. as there are several methods available, researchers face method selection problem while conducting the unit root test on time series data in the presence of structural break. this paper proposes a sequential search procedure to determine the best test method for each time series. different test methods or models may be appropriate for different time series. therefore, instead of sticking to one particular test method for all the time series under consideration, selection of a set of mixed methods is recommended for obtaining better results.

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File URL: http://www.usc.es/economet/reviews/ijaeqs224.pdf
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Bibliographic Info

Article provided by Euro-American Association of Economic Development in its journal International Journal of Applied Econometrics and Quantitative Studies .

Volume (Year): 2 (2005)
Issue (Month): 2 ()
Pages: 31-46

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Handle: RePEc:eaa:ijaeqs:v:2:y2005:i:2_4

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Related research

Keywords: time series; stationarity; unit root test; structural break; sequential procedure;

References

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  1. Panicos O. Demetriades & Kul B. Luintel, 1997. "The Direct Costs Of Financial Repression: Evidence From India," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 311-320, May.
  2. 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.
  3. Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  4. Demetriades, Panicos O & Luintel, Kul B, 1996. "Banking Sector Policies and Financial Development in Nepal," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(2), pages 355-72, May.
  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. 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.
  7. 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.
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