1997
DOI: 10.2307/2111780
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Near-Integrated Data and the Analysis of Political Relationships

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Cited by 80 publications
(57 citation statements)
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“…The issue of nonstationarity is especially disconcerting; although I am examining a short, bounded series, DeBoef and Granato (1997) point out that these data often mimic the non-stationary properties of integrated data and require remedy. To achieve stationarity and address concerns about serial autocorrelation, this study differences the noncategorical variables.…”
Section: Televisionmentioning
confidence: 99%
“…The issue of nonstationarity is especially disconcerting; although I am examining a short, bounded series, DeBoef and Granato (1997) point out that these data often mimic the non-stationary properties of integrated data and require remedy. To achieve stationarity and address concerns about serial autocorrelation, this study differences the noncategorical variables.…”
Section: Televisionmentioning
confidence: 99%
“…This does not, however, exclude the possibility that a regression is spurious as shown byDeBoef and Granato (1997).…”
mentioning
confidence: 91%
“…Few other concepts in time series cause me as much conceptual and existential uncertainty and as many sleepless nights as that of unit root. There is long-standing argument among methodologists concerning whether political time series contain a 'unit root' (i.e., are integrated) or, instead, are fractional, near-integrated, or stationary processes (e.g., Beck, 1992, Box-Steffensmeier and Smith, 1996, De Boef, 2000, De Boef and Granato, 1997, Lebo et al, 2000, Wlezien, 2000 4 -that is, whether the effect of shocks to variables are additive and are therefore preserved in observations in future time periods. In non-technical jargon, unit root relates to whether a variable -such as public opinion or public policy -has a memory, insomuch as it is the sum of past values of itself plus random variation.…”
Section: The Unit Root Debate and The Problem Of Spurious Regressionsmentioning
confidence: 99%
“…In addition to this, linear regressions of integrated and near-integrated series are also susceptible to spurious inferences (Granger andNewbold, 1974, De Boef andGranato, 1997) finding significant relationships where none exist. The alternative of differencing integrated variables to make them stationary is problematic as it removes information about the long-run relationships.…”
Section: The Unit Root Debate and The Problem Of Spurious Regressionsmentioning
confidence: 99%