Variables included in propensity score matching process
Latent Variables and Propensity Score Matching
... directly reflect student responses about their observable and easy-to-define characteristics. Among those, we use dummies denoting student gender and school grade level, parents’ highest level of education measured on ...
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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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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
... control variables X often contains continuous, discrete and bi- nary ...of matching estimators usually depend only on the continuous variables, and it is often suggested to conduct separate ...
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Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study
... relevant variables can increase efficiency of the model, and the standard error of a variable of interest can be ...more variables can result in multicollinearity, which can increase the standard error of ...
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Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study
... relevant variables can increase efficiency of the model, and the standard error of a variable of interest can be ...more variables can result in multicollinearity, which can increase the standard error of ...
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A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process
... using propensity score matching ...of propensity scores, the overlap in common support is likely to be in the tails of the distributions – areas prone to regression toward the mean on a third ...
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Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
... 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
... after matching, the change in balance is independent of the change in mean difference, rather than being conflated with an accompanying change in standard deviation ...categorical variables, ...
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Some Practical Guidance for the Implementation of Propensity Score Matching
... of variables to be included in the propensity ...two variables. They subsequently add blocks of additional variables and compare the resulting mean squared ...the propensity ...
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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 ...background variables measured on all subjects. Propensity score matching in essence ...
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Propensity score matching methods for the analysis of recurrent events
... the theoretical estimate resulted from the model PS 1 is equal to 0.4631 which is more biased in comparison to 0.3824, the theoretical estimate resulted from PS 3. Another finding of our simulation study is that ...
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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
... These variables include high and low maternal education, high and low socioeconomic status, home ownership/tenancy, sex and ethnicity, living with both natural parents, maternal mari- tal status, maternal obesity, ...
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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 ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... potential variables at our disposal that could reasonably be treated as exogenous to ...these variables, many of the community characteristics were very important predictors of participation, as were a ...
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Propensity Score Matching Methods for Non-experimental Causal Studies
... on propensity score matching methods is that, in many applications of interest, the dimensionality of the observable characteristics is ...binary variables), matching is straightforward ...
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Parole supervision and re-offending: a propensity score matching analysis
... Services included details regarding offender movements in and out of custody, parole length and discharge status, as well as the level of supervision provided by Community Corrections in the period ...
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Catholic Schools and Bad Behavior: A Propensity Score Matching Analysis
... instrumental variables to account for unobserved heterogeneity, and find that private religious schools reduce adolescent sexual activity, arrests, and the use of ...
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Evaluation of Credit Guarantee Policy using Propensity Score Matching
... screening process to select firms to be ...screening process increased significantly due to soaring number of applicants received by the guarantee funds and increased amount of guarantee ...
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