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Unit root tests for ARIMA(0, 1, q) models with irregularly observed samples

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  • Shin, Dong Wan
  • Sarkar, Sahadeb
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    Abstract

    For an ARIMA(0,1,q) model having an autoregressive unit root with an irregularly observed sample we propose a unit root test based on instrumental variable estimation. The test is shown to have the same asymptotic distribution as the ordinary least squares estimator of the unit root in an AR(1) model tabulated by Dickey and Fuller (J. Amer. Statist. 74 (1979) 427-431) for the complete data situation. Some simulation results for ARIMA(0,1,1) models under A-B sampling schemes and an illustrative example are given.

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    Bibliographic Info

    Article provided by Elsevier in its journal Statistics & Probability Letters.

    Volume (Year): 19 (1994)
    Issue (Month): 3 (February)
    Pages: 189-194

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    Handle: RePEc:eee:stapro:v:19:y:1994:i:3:p:189-194

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    Related research

    Keywords: Autoregressive moving average model instrumental variable estimation large sample missing or unequally spaced data Monte Carlo study nonstationarity unit root;

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    Cited by:
    1. Shin, Dong Wan & Sarkar, Sahadeb & Lee, Jong Hyup, 1996. "Unit root tests for time series with outliers," Statistics & Probability Letters, Elsevier, vol. 30(3), pages 189-197, October.

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