Causal Inference Based on Inverse Probability Weighting, Doubly Robust Estimation, and Double Machine Learning


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Documentation for package ‘causalweight’ version 0.2.1

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attrlateweight Local average treatment effect estimation in multiple follow-up periods with outcome attrition based on inverse probability weighting
didweight Difference-in-differences based on inverse probability weighting
dyntreatDML Dynamic treatment effect evaluation with double machine learning
ivnr Instrument-based treatment evaluation under endogeneity and non-response bias
lateweight Local average treatment effect estimation based on inverse probability weighting
medDML Causal mediation analysis with double machine learning
medlateweight Causal mediation analysis with instruments for treatment and mediator based on weighting
medweight Causal mediation analysis based on inverse probability weighting with optional sample selection correction.
medweightcont Causal mediation analysis with a continuous treatment based on weighting by the inverse of generalized propensity scores
swissexper Correspondence test in Swiss apprenticeship market
treatDML Binary or multiple discrete treatment effect evaluation with double machine learning
treatweight Treatment evaluation based on inverse probability weighting with optional sample selection correction.
wexpect Wage expectations of students in Switzerland