1991
DOI: 10.1016/0261-5606(91)90008-8
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Cointegration: how short is the long run?

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Cited by 450 publications
(197 citation statements)
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“…An estimator of cointegrating vectors constructed with temporally aggregated data is consistent (see, e.g., Granger 1990) and asymptotically as efficient as the estimator based on disaggregated time series, when, as in our case, all the variables in the cointegrating vector are flows (see, e.g., Chambers 2003). Chambers (2001), for example, demonstrates that estimates from cointegrating regressions are remarkable stable across frequencies, which is consistent with the well-known finding that the power of unit root and cointegration tests depends far more on the time span than on the number of observations (see, e.g, Shiller and Perron 1985;Hakkio and Rush 1991;Lahiri and Mamingi 1995).…”
Section: Data and Descriptive Statisticssupporting
confidence: 88%
“…An estimator of cointegrating vectors constructed with temporally aggregated data is consistent (see, e.g., Granger 1990) and asymptotically as efficient as the estimator based on disaggregated time series, when, as in our case, all the variables in the cointegrating vector are flows (see, e.g., Chambers 2003). Chambers (2001), for example, demonstrates that estimates from cointegrating regressions are remarkable stable across frequencies, which is consistent with the well-known finding that the power of unit root and cointegration tests depends far more on the time span than on the number of observations (see, e.g, Shiller and Perron 1985;Hakkio and Rush 1991;Lahiri and Mamingi 1995).…”
Section: Data and Descriptive Statisticssupporting
confidence: 88%
“…This has been shown by Shiller and Perron (1985), Hakkio and Rush (1991), Otero and Simth (2000), Rapach and Wohar (2004) and more recently by de Bruyn, Gupta and Stander (2013).…”
Section: Datamentioning
confidence: 56%
“…We use annual time-series data as they are sufficient to ensure the quality of the analysis (Hakkio and Rush 1991); the choice of the sample countries was subject to the availability of comprehensive data sets. The logarithm of per capita real gross domestic product (GDP) represents the level of economic growth (EG).…”
Section: A Variables and Datamentioning
confidence: 99%