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Temporal Aggregation and Ordinary Least Squares Estimation of Cointegrating Regressions

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Gabriel Pons Rotger (University of Barcelona)

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Abstract

The paper derives the asymptotic distribution of the ordinary least squares estimator of cointegrating vectors with temporally aggregated time series. It is shown, that temporal aggregation reduces the bias and variance of the estimator for average sampling (temporal aggregation of flow series) and does not affect the limiting distribution for systematic sampling (temporal aggregation of stock series). A Monte Carlo experiment shows the consistency of the finite sample results with the asymptotic theory.

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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 1317.

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Date of creation: 01 Aug 2000
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Handle: RePEc:ecm:wc2000:1317

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    Other versions:
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    Other versions:
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  7. Weiss, Andrew A., 1984. "Systematic sampling and temporal aggregation in time series models," Journal of Econometrics, Elsevier, vol. 26(3), pages 271-281, December. [Downloadable!] (restricted)
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  21. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254. [Downloadable!] (restricted)
  22. Granger, C. W. J. & Siklos, Pierre L., 1995. "Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 357-369. [Downloadable!] (restricted)
    Other versions:
  23. In Choi & Bhum Suk Chung, 1995. "Sampling frequency and the power of tests for a unit root: A simulation study," Economics Letters, Elsevier, vol. 49(2), pages 131-136, August. [Downloadable!] (restricted)
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  29. repec:cup:etheor:v:7:y:1991:i:3:p:341-68 is not listed on IDEAS
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    Other versions:
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