2009
DOI: 10.1198/jbes.2009.07268
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Testing for Shifts in Trend With an Integrated or Stationary Noise Component

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Cited by 214 publications
(149 citation statements)
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References 23 publications
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“…Depending on whether the process is stationary or integrated the limit distribution of these tests are different and, if the process is misidentified, the tests will have poor properties. Building on the work of Perron and Yabu (2009a), the Perron and Yabu (PY;2009b) test was designed explicitly to address the problem of testing for structural changes in the trend function of a univariate time series without any prior knowledge as to whether the noise component is stationary, I(0), or contains an autoregressive unit root, I(1). We present the case of a model with a one-time structural break in the slope of the trend function with an autoregressive noise component of order one (AR(1)); the case with general types of serial correlation in the noise is somewhat more involved (see Perron and Yabu, 2009b, for details), though the main ingredients are similar.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Depending on whether the process is stationary or integrated the limit distribution of these tests are different and, if the process is misidentified, the tests will have poor properties. Building on the work of Perron and Yabu (2009a), the Perron and Yabu (PY;2009b) test was designed explicitly to address the problem of testing for structural changes in the trend function of a univariate time series without any prior knowledge as to whether the noise component is stationary, I(0), or contains an autoregressive unit root, I(1). We present the case of a model with a one-time structural break in the slope of the trend function with an autoregressive noise component of order one (AR(1)); the case with general types of serial correlation in the noise is somewhat more involved (see Perron and Yabu, 2009b, for details), though the main ingredients are similar.…”
Section: Methodsmentioning
confidence: 99%
“…For robustness, in this second step, the three possible types of breaks considered by Perron and Yabu (2009b) are tested for: in the level, in the slope, and in the level and slope of the trend function. The general specification of the ARDL models used is:…”
Section: Testing For a Common Secular Trend Between Temperatures And mentioning
confidence: 99%
“…That causes a circular problem that weakens both kinds of tests. Perron and Yabu (2009) develop a test using a super-efficient estimator of unknown break dates with higher power and less size distortions. Based on Perron (1998, 2003) and Perron and Yabu (2009), Kejriwal and Perron (2010), from now on KP (2010), develop a sequential procedure to test the null hypothesis of l changes against the alternative hypothesis of (l + 1) changes.…”
Section: Trend Breaksmentioning
confidence: 99%
“…Since the existence of structural break will affect the validity of our co-integrating rank tests results, structural break analysis was performed before the investigation of cointegration. Perron and Yabu (2009) In this analysis, we considered the one-time break in the intercept model:…”
Section: Structural Break Determinationmentioning
confidence: 99%
“…Applying the structural break analysis (Perron & Yabu 2009), we observed a significant structural break occurred for the stocks co-listing in Hong Kong and Shanghai Stock Exchanges between April 2007 and January 2009. We attempt to re-examine the existence of shares co-movement of the A-share (listed in Shanghai Stock Exchanges) and H-share (listed in Hong Kong Stock Exchange) prior and posterior to the financial turmoil in our study.…”
mentioning
confidence: 93%