Propensity Score matching model and validity of
Propensity score matching
... use _times as frequency weights to identify the matched treated and the (possibly repeatedly) matched controls. 2) _ matchdif → pairwise difference in score.[r] ...
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Matching on the Estimated Propensity Score
... Propensity score matching estimators (Rosenbaum and Rubin, 1983) are widely used to estimate treatment effects when all treatment confounders are ...the propensity score as the ...
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On the inefficiency of propensity score matching
... of matching estimators usually depend only on the continuous variables, and it is often suggested to conduct separate regressions for each cell defined by the discrete ...
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Latent Variables and Propensity Score Matching
... the model we present above is true, the latent variable can be estimated from the manifest variables using factor analysis ...factor model has to be driven by theoretical considerations and carefully tested ...
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Propensity Score Analysis with Matching Weights
... the matching weight estimator and inverse probability weighted estimator are similar when the propensity scores are not too close to 0 or ...the propensity scores concentrates more in the middle ...
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Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
... hdPS model adjusted for more variables than the PS model, such a result was to be expected but it needed to be verified in a situation where we have prior knowledge on which confounders to adjust ...
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Balance diagnostics after propensity score matching
... Prognostic score is the predicted probability of outcome under the control condition, and SMD of prognostic score is found to be a good quantity in assessing ...
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Some Practical Guidance for the Implementation of Propensity Score Matching
... Ham, Li, and Reagan (2003) study the effect of a migration decision on the wage growth of young men and Bryson (2002) analyse the effect of union membership on wages of employees. Every microeconometric evaluation study ...
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A wild bootstrap algorithm for propensity score matching estimators
... Abstract: We introduce a wild bootstrap algorithm for the approximation of the sampling dis- tribution of pair or one-to-many propensity score matching estimators. Unlike the conventional iid ...
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A Propensity Score Matching Study of Community College Athletics.
... propensity score matching, a technique which is used to simulate an experimental ...threatens validity (Pan, ...subjects. Propensity score matching in essence mimics ...
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Propensity score matching methods for the analysis of recurrent events
... do not conduct randomized controlled trials to make causal inference, instead some pretreatment characteristics of individuals are used to find the propensity score. In many fields of study, the primary ...
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A New Heuristic for Propensity Score Matching in Observational Studies
... iterative matching, PSM was conducted using both methods on each of the samples from Table ...the propensity score and units were matched based on the logit of the propensity score, ...
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The Effects of Breastfeeding on Childhood BMI: A Propensity Score Matching Approach
... the propensity to breastfeed recorded during pregnancy or as close to the time of birth as possible are included in order to predict the propensity to ...
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Propensity score matching and policy impact analysis - a demonstration in EViews
... The validity of using a comparison group in the estimation of the counterfactual outcome hinges crucially on the extent to which both participants and nonparticipants have similar characteristics prior to the ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... the matching variables. Any remaining bias in the matching estimator can thus be attributed to unobserved ...to matching methods, bias due to unobservables cannot be ruled out by matching ...
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Impact Evaluation of Remittance for Pakistan: Propensity Score Matching Approach
... the propensity score and evaluates the impact using data from common support area for both RBH and NRBH ...the propensity score matching approach which replicates the experimental ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... job training programs in the US have found the employment histories of individuals to be good predictors of participation. In our data we do not have any information on employment histories prior to the implementation of ...
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Propensity Score Matching Methods for Non-experimental Causal Studies
... An important feature of our method is that, after units are matched, the unmatched comparison units are discarded, and are not directly used in estimating the treatment im- pact. This contrasts with approaches that use ...
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Parole supervision and re-offending: a propensity score matching analysis
... regression model predicting whether or not an offender had a high level of compliance-focused contacts whilst under parole ...regression model and the associated confidence intervals are reported in Table ...
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Propensity Score Matching Regression Discontinuity Limited Dependent Variables
... radius matching, which rules out matches beyond the threshold of the caliper, the kernel and local-linear methods are nonparametric methods that compare each treated unit to a weighted average of the outcomes of ...
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