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The Exact Power Envelope of Tests for a Unit Root

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Podivinsky, J M
King, M L

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Abstract

We show how to obtain the exact power envelope of tests for a unit root against trend-stationary alternatives, under normality. This is in contrast to the asymptotic power envelope derived by Elliott, Rothenberg and Stock (1996), and is used to indicate the lack of power of unit root tests in fixed sample sizes.

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File URL: http://www.socsci.soton.ac.uk/Economics/Research/Discussion_Papers/2000/0026.pdf
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Paper provided by Economics Division, School of Social Sciences, University of Southampton in its series Discussion Paper Series In Economics And Econometrics with number 0026.

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Date of creation: 01 Jan 2000
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Handle: RePEc:stn:sotoec:0026

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  1. repec:cup:etheor:v:11:y:1995:i:5:p:1148-71 is not listed on IDEAS
  2. Dufour, Jean-Marie & King, Maxwell L., 1991. "Optimal invariant tests for the autocorrelation coefficient in linear regressions with stationary or nonstationary AR(1) errors," Journal of Econometrics, Elsevier, vol. 47(1), pages 115-143, January. [Downloadable!] (restricted)
  3. DeJong, David N, et al, 1992. "Integration versus Trend Stationarity in Time Series," Econometrica, Econometric Society, vol. 60(2), pages 423-33, March. [Downloadable!] (restricted)
  4. Hwang, Jaeyoun & Schmidt, Peter, 1993. "On the power of point optimal tests of the trend stationarity hypothesis," Economics Letters, Elsevier, vol. 43(2), pages 143-147. [Downloadable!] (restricted)
  5. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-87, August.
  6. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Technical Working Papers 0100, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  7. Ansley, Craig F. & Kohn, Robert & Shively, Thomas S., 1992. "Computing p-values for the generalized Durbin-Watson and other invariant test statistics," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 277-300. [Downloadable!] (restricted)
  8. Bhargava, Alok, 1986. "On the Theory of Testing for Unit Roots in Observed Time Series," Review of Economic Studies, Blackwell Publishing, vol. 53(3), pages 369-84, July. [Downloadable!] (restricted)
  9. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-74, January. [Downloadable!] (restricted)
  10. Edmonds, G.J. & O'Brien, R.J. & Podivinsky, J.M., 1992. "Unit Root Tests and Mean Shifts," Discussion Paper Series In Economics And Econometrics 9215, Economics Division, School of Social Sciences, University of Southampton.
  11. Bruce E. Hansen, 1995. "Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power," Boston College Working Papers in Economics 300., Boston College Department of Economics.
  12. 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. [Downloadable!] (restricted)
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  13. West, Kenneth D, 1988. "Asymptotic Normality, When Regressors Have a Unit Root," Econometrica, Econometric Society, vol. 56(6), pages 1397-1417, November. [Downloadable!] (restricted)
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  1. Michael Artis & Massimiliano Marcellino, . "Fiscal Solvency and Fiscal Forecasting in Europe," Working Papers 142, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University. [Downloadable!]
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