Average treatment effect estimation via random recursive partitioning
SSRN Electronic Journal, 2004 A new matching method is proposed for the estimation of the average treatment effect of social policy interventions (e.g., training programs or health care measures).
Iacus, Stefano, Porro, Giuseppe
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School entry, educational attainment, and quarter of birth: a cautionary tale of a local average treatment effect [PDF]
, 2016 Studies of the effects of school entry age on short-run and long-run outcomes generally fail to capture the parameter of policy interest and/or are inconsistent because the instrument they use violates monotonicity, required for identification of a local
Barua, Rashmi, Lang, Kevin
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Heterogeneous Treatment Effects with Mismeasured Endogenous Treatment
, 2017 This paper studies the identifying power of an instrumental variable in the nonparametric heterogeneous treatment effect framework when a binary treatment is mismeasured and endogenous.
Ura, Takuya
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A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs
, 2018 Under treatment effect heterogeneity, an instrument identifies the instrument-specific local average treatment effect (LATE). With multiple instruments, two-stage least squares (2SLS) estimand is a weighted average of different LATEs.
Lee, Seojeong
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A Bayesian adaptive marker‐stratified design for molecularly targeted agents with customized hierarchical modeling [PDF]
, 2019 It is well known that the treatment effect of a molecularly targeted agent (MTA) may vary dramatically, depending on each patient's biomarker profile. Therefore, for a clinical trial evaluating MTA, it is more reasonable to evaluate its treatment effect ...
Cao, Sha +4 more
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Matching on-the-fly in Sequential Experiments for Higher Power and Efficiency [PDF]
, 2013 We propose a dynamic allocation procedure that increases power and efficiency when measuring an average treatment effect in sequential randomized trials.
Kapelner, Adam, Krieger, Abba
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Nonparametric Tests for Treatment Effect Heterogeneity [PDF]
A large part of the recent literature on program evaluation has focused on estimation of the average effect of the treatment under assumptions of unconfoundedness or ignorability following the seminal work by Rubin (1974) and Rosenbaum and Rubin (1983 ...
Guido W. Imbens +3 more
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A note on estimation of the average treatment effect and average partial effect in nonlinear models [PDF]
In the literature on program impact evaluation, the popular impact parameters can the average treatment effect, the average treatment effect on the treated, the average partial effect, and the average partial effect on the treated.
Cuong Nguyen Viet
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Sparsity Double Robust Inference of Average Treatment Effects
, 2019 Many popular methods for building confidence intervals on causal effects under high-dimensional confounding require strong "ultra-sparsity" assumptions that may be difficult to validate in practice.
Bradic, Jelena +2 more
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Alternative approaches to evaluation in empirical microeconomics [PDF]
Four alternative but related approaches to empirical evaluation of policy interventions are studied: social experiments, natural experiments, matching methods, and instrumental variables.
Monica Costa Dias, Richard Blundell
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