2002
DOI: 10.1198/073500102753410372
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Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis

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Cited by 1,863 publications
(698 citation statements)
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References 23 publications
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“…These tests provide biased and spurious results due to non-availability of information about structural break points in series. In doing so, Zivot-Andrews [2] developed three models to test the stationarity properties of the variables in the presence of structural break point in the series: (i) this model allows a one-time change in variables at level form, (ii) this model permits a one-time change in the slope of the trend component i.e. function and (iii) model has one-time change both in intercept and trend function of the variables to be used for empirical analysis.…”
Section: Iiiii Zivot-andrews Unit Root Testmentioning
confidence: 99%
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“…These tests provide biased and spurious results due to non-availability of information about structural break points in series. In doing so, Zivot-Andrews [2] developed three models to test the stationarity properties of the variables in the presence of structural break point in the series: (i) this model allows a one-time change in variables at level form, (ii) this model permits a one-time change in the slope of the trend component i.e. function and (iii) model has one-time change both in intercept and trend function of the variables to be used for empirical analysis.…”
Section: Iiiii Zivot-andrews Unit Root Testmentioning
confidence: 99%
“…function and (iii) model has one-time change both in intercept and trend function of the variables to be used for empirical analysis. Zivot-Andrews [2] followed three models to validate the hypothesis of one-time structural break in the series as follows: …”
Section: Iiiii Zivot-andrews Unit Root Testmentioning
confidence: 99%
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“…However, Banerjee et al (1992) argues that the unit root test hypothesis could be biased if there is endogenous structure shock in the macroeconomic variables. In the same year, Zivot and Andrews (1992) proposed a unit root test, which identifies the single break point in the series. Later on, Lumsdaine and Papell (1997) further extended the ZA unit root test to identify two break points.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Because ADF test and PP tests yielded very conflicting results for IND variable, the stationarity of the variables were also analyzed with the unit root test of Zivot and Andrews (1992) (ZA) considering a structural break. The test revealed a structural break in 2008 and IND variable was I(1).…”
Section: Unit Root Testmentioning
confidence: 99%