Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies

@article{Hainmueller2012EntropyBF,
  title={Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies},
  author={Jens Hainmueller},
  journal={Political Analysis},
  year={2012},
  volume={20},
  pages={25-46}
}
  • Jens Hainmueller
  • Published 2012
  • Mathematics
  • Political Analysis
  • This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy balancing relies on a maximum entropy reweighting scheme that calibrates unit weights so that the reweighted treatment and control group satisfy a potentially large set of prespecified balance conditions that incorporate information about known sample moments. Entropy balancing thereby exactly adjusts inequalities in representation with respect… CONTINUE READING
    1,032 Citations

    Figures and Tables from this paper

    Primal-dual Covariate Balance and Minimal Double Robustness via Entropy Balancing
    • 7
    • PDF
    Double Robustness for Causal Effects via Entropy Balancing
    • 3
    • Highly Influenced
    Entropy Balancing for Continuous Treatments
    • 1
    • Highly Influenced
    Entropy balancing: a maximum-entropy reweighting scheme to adjust for coverage error
    • 5
    • Highly Influenced
    • PDF
    Energy Balancing of Covariate Distributions
    • 1
    • PDF
    Covariate Balancing by Uniform Transformer
    • PDF
    Efficient Covariate Balancing for the Local Average Treatment Effect
    • PDF
    A Framework for Covariate Balance using Bregman Distances
    • 2
    • Highly Influenced
    • PDF
    Covariate Balancing Propensity Score by Tailored Loss Functions
    • 52
    • Highly Influenced
    • PDF
    Permutation Weighting.
    • 3
    • PDF

    References

    SHOWING 1-10 OF 61 REFERENCES
    The central role of the propensity score in observational studies for causal effects
    • 22,229
    • PDF
    Covariate balance in simple stratified and clustered comparative studies
    • 341
    • PDF
    Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
    • 739
    • Highly Influential
    • PDF
    Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
    • 2,014
    • Highly Influential
    • PDF
    Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization
    • 901
    • Highly Influential
    • PDF
    Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review
    • 569
    Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
    • 857
    • PDF
    Matched Sampling for Causal Effects
    • 345
    Inverse Probability Tilting for Moment Condition Models with Missing Data
    • 139
    • PDF
    Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods
    • 313
    • PDF