We consider the power of unit root tests for different deviations of the initial observation from the deterministic component of the series. Following recent work highlighting the relative power performance of extant tests, we propose a new procedure based on a data-dependent weighted average of the standard Dickey-Fuller and Elliott-Rothenberg- Stock tests, with the weight determined by an estimate of the initial observation’s deviation from the deterministics. Simulation of the new test’s power reveals very good performance across different magnitudes of the initial condition. The procedure’s value is further highlighted by application to US producer price inflation.
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Paper provided by EconWPA in its series Econometrics with number
0311006.
Length: 15 pages Date of creation: 17 Nov 2003 Date of revision: Handle: RePEc:wpa:wuwpem:0311006
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Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics C5 - Mathematical and Quantitative Methods - - Econometric Modeling C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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