The effect of EPU, trade policy, and financial regulation on CO2 emissions in the United States: evidence from wavelet coherence and frequency domain causality techniques
Abstract
The present study unearths the causal effect of economic policy uncertainty (EPU), trade policies, and financial regulation on CO2 emissions in the United States. Based on this aim, the
frequency domain causality and wavelet coherence tests are employed while answering the
following questions: (i) Do EPU, trade policy, and financial regulation lead to CO2 emission in
the United States, and (ii) if so, why? The findings from wavelet coherence reveal that
changes in EPU, trade policies and financial regulation significantly lead to changes in CO2
emissions at different frequency levels, meaning that EPU, trade policies, and financial regulation are important predictors for the CO2 emission in the United States. The consistency of
the findings from wavelet coherence is confirmed by the outcomes of frequency domain
causality. To the best of our knowledge, until now, no study has explored the causal effect
of economic policy uncertainty, trade policies, and financial regulation on the CO2 emission
in the United States using single data set and wavelet coherence approach, which allows
capturing both the long and short-run causality among the time series variables while combining time and frequency domain causality approaches. Therefore, the present study is
likely to attract great interest from policy-makers and researchers in this field. At the same
time, it is likely to start a new debate.
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