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    Common cycles in seasonal non-stationary time series

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    Testing for cointegration at any frequency using spectral methods

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    Complex reduced rank models for seasonally cointegrated time series

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    Common serial correlation and common business cycles: A cautious note

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    An alternative solution to the Autoregressivity Paradox in time series analysis

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    This note concerns with the marginal models associated with a given vector autoregressive model. In particular, it is shown that a reduction in the orders of the univariate ARMA marginal models can be determined by the presence of variables integrated with different orders. The concepts and methods of the paper are illustrated via an empirical investigation of the low-frequency properties of hours worked in the US

    On non-contemporaneous short-run co-movements

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