What question did this study set out to answer?

This research explores how causation can vary across different frequencies in time series data.

Causality in the Long Run

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Randomized trial examines causality in time series data, suggesting different dynamics at varying frequencies.

This research explores how causation can vary across different frequencies in time series data.
Discusses definitions of causation based on Granger and others.
Explores the possibility of frequency-based decomposition of causal relationships.
Utilizes spectral decomposition principles as outlined by Hannan.
Establishes a link between causation and frequency characteristics of time series data.
Demonstrates that stationary series can be decomposed into frequency components for clearer causal analysis.

Clive et al. (1995) studied this question.

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