Pages that link to "Item:Q2440330"
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The following pages link to The performance of estimators based on the propensity score (Q2440330):
Displaying 23 items.
- Specification tests for the propensity score (Q143736) (← links)
- Practical propensity score matching: a reply to Smith and Todd (Q262740) (← links)
- The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation (Q1658377) (← links)
- A simple and successful shrinkage method for weighting estimators of treatment effects (Q1659140) (← links)
- Scaling the twin peaks: systemic risk and dual regulation (Q1741764) (← links)
- Efficient propensity score regression estimators of multivalued treatment effects for the treated (Q1753057) (← links)
- Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores (Q2024469) (← links)
- Entropy balancing for continuous treatments (Q2121828) (← links)
- Let's meet as usual: do games played on non-frequent days differ? Evidence from top European soccer leagues (Q2184172) (← links)
- Matching estimators with few treated and many control observations (Q2236898) (← links)
- Propensity scores: from naïve enthusiasm to intuitive understanding (Q2894112) (← links)
- Matching Using Estimated Propensity Scores: Relating Theory to Practice (Q4348996) (← links)
- Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition (Q4975638) (← links)
- Comparing different propensity score estimation methods for estimating the marginal causal effect through standardization to propensity scores (Q5084764) (← links)
- Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification (Q5093035) (← links)
- Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
- Practical procedures to deal with common support problems in matching estimation (Q5860902) (← links)
- Estimating propensity scores using neural networks and traditional methods: a comparative simulation study (Q6061348) (← links)
- Using Wasserstein generative adversarial networks for the design of Monte Carlo simulations (Q6199647) (← links)
- Matching on noise: finite sample bias in the synthetic control estimator (Q6561141) (← links)
- Calibrating doubly-robust estimators with unbalanced treatment assignment (Q6594859) (← links)
- The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators (Q6626294) (← links)
- Review and comparison of treatment effect estimators using propensity and prognostic scores (Q6637101) (← links)
