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Found 4 papers, 2 papers with code
Causal effect of regulated Bitcoin futures on volatility and volume
After controlling for the effect on volumes, we find that the CME instrument caused Bitcoin volatility to increase by more than double.
Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach
In this paper, we propose a novel approach, C-ARIMA, to define and estimate the causal effect of an intervention in a time series setting under the RCM.
Matching on Generalized Propensity Scores with Continuous Exposures
We apply our proposed method to estimate the average causal exposure-response function between long-term PM$_{2. 5}$ exposure and all-cause mortality among 68. 5 million Medicare enrollees, 2000-2016.
Methodology Applications
Causal inference for interfering units with cluster and population level treatment allocation programs
We define new estimands that describe average potential outcomes for realistic counterfactual treatment allocation programs, extending existing estimands to take into consideration the units' covariates and dependence between units' treatment assignment.
Methodology Statistics Theory Statistics Theory
