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Further investigation of the uncertain unit root in GNP Author info | Abstract | Publisher info | Download info | Related research | Statistics Yin-Wong Cheung (University of California at Santa Cruz)
Menzie Chinn (University of California at Santa Cruz)
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This paper adopts a different approach to the study of the persistence of U.S. GNP. First, this paper uses a more powerful version of the ADF test developed by Elliot, Rothenberg and Stock (1992). Second, we also examine the results from a unit root test that has trend stationarity as the null (Kwiatkowski et al., 1992). Third, simulated critical values generated from plausible trend stationary and difference stationary models for GNP data are used, in order to minimize the possible biases induced by nuisance parameters in finite samples. The ability of these two tests to discriminate against plausible alternatives is evaluated using alternative-specific rejection frequencies. Fourth, to evaluate the implication of extending the time span of the data on the ability to make clear inferences regarding the presence of unit roots, we examine both post-war quarterly data and a longer annual series spanning the period 1869 to 1986. For quarterly data, these two unit root tests do not provide a definite conclusion regarding the existence of a unit root in GNP data, thereby confirming Rudebusch's (1993) results. In contrast, when analyzing annual data over the 1869-1986 period, we obtain very sharp results: The unit root null is rejected, while the trend stationary null is not. Moreover, the alternative-specific power for the trend stationary null test is fairly high. We conclude that with a longer span of data, one can obtain strong evidence of trend stationarity in per capita GNP.
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Date of creation: 28 Aug 1995Date of revision:
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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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