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causalweight (version 0.1.3)

Estimation Methods for Causal Inference Based on Inverse Probability Weighting

Description

Various estimation methods for causal inference based on inverse probability weighting. Specifically, the package includes methods for estimating average treatment effects as well as direct and indirect effects in causal mediation analysis. The models refer to the studies of Froelich (2007) , Huber (2012) , Huber (2014) , Huber (2014) , and Froelich and Huber (2017) .

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Version

Install

install.packages('causalweight')

Monthly Downloads

1,081

Version

0.1.3

License

MIT + file LICENSE

Maintainer

Hugo Bodory

Last Published

December 5th, 2019

Functions in causalweight (0.1.3)

medDML

Causal mediation analysis with double machine learning
wexpect

Wage expectations of students in Switzerland
treatweight

Treatment evaluation based on inverse probability weighting with optional sample selection correction.
lateweight

Local average treatment effect estimation based on inverse probability weighting
medlateweight

Causal mediation analysis with instruments for treatment and mediator based on weighting
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
attrlateweight

Local average treatment effect estimation in multiple follow-up periods with outcome attrition based on inverse probability weighting
medweight

Causal mediation analysis based on inverse probability weighting with optional sample selection correction.
didweight

Difference-in-differences based on inverse probability weighting