Synthetic Control Dataset

This dataset contains the synthetic control results as described in the paper "Unilateral climate policies can substantially reduce national carbon pollution". The dataset also contains the raw data needed to replicate the analysis. The script files to process the raw data and generate the results are available on the GitHub repository https://github.com/walice/synth. Directory structure: Synth |__Data (on Zenodo) |__Results (on Zenodo) |__Scripts (download from GitHub)

Related Organizations

University of California, Santa Barbara
United States

Keywords

synthetic control, climate policy, causal inference, carbon pricing

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average