Advanced Search

Refine my results

Document type

Institution

Specific Collection

Language

Author

Domain

Keyword

Sorted by: Relevance
2 results 1
Université de Fribourg

The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators

Bodory, Hugo ; Camponovo, Lorenzo ; Huber, Martin ; Lechner, Michael

In: Journal of Business and Economic Statistics, 2020, vol. 38, no. 1, p. 183-200

This article investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyze both asymptotic approximations and bootstrap methods for computing variances and confidence intervals in our simulation designs, which are based on German...

Université de Fribourg

A wild bootstrap algorithm for propensity score matching estimators

Huber, Martin ; Camponovo, Lorenzo ; Bodory, Hugo ; Lechner, Michael

(Working Papers SES ; 470)

We introduce a wild bootstrap algorithm for the approximation of the sampling distribution of pair or one-to-many propensity score matching estimators. Unlike the conventional iid bootstrap, the proposed wild bootstrap approach does not construct bootstrap samples by randomly resampling from the observations with uniform weights. Instead, it fixes the covariates and constructs the bootstrap...

2 results 1