Propensity score matching model
Matching on the Estimated Propensity Score
... parametric model for the propensity score, and c is a vector that depends on the covariance between the covariates and the outcome, conditional on the propensity score and the ...Thus, ...
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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
... We conducted a simulation under the heterogeneous treatment effects, based on the dis- cussion at the end of §2. We modify the outcome model as Y i = ∆ i Z i + X T i α + i , with ∆ i = θ(2.5 + 0.5X 1i − 0.5X 3i ...
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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
... on propensity score, the baseline covariates are expected to be balanced between treated and untreated ...statistical model used to calculate the propensity score is ...after ...
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Some Practical Guidance for the Implementation of Propensity Score Matching
... the propensity score. Black and Smith (2003) implement their model selection procedure by starting with a ‘minimal’ model containing only two ...the propensity score model ...
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A wild bootstrap algorithm for propensity score matching estimators
... Table 4 reports the ATET estimates on the outcomes using pair matching on the propensity score, which is estimated by a probit model. It further displays standard errors based on the ...
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Propensity score matching methods for the analysis of recurrent events
... the model PS 1 is equal to ...that matching on the history of the subjects or just adding the history to the matching model significantly reduces the bias in the ...the model PS 5 and ...
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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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Propensity score matching and policy impact analysis - a demonstration in EViews
... the propensity score is based only on observable characteristics clearly shows that the method assumes away unobservable heterogeneity that might arise from purposive placement into a ...switching ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... the propensity scores on the basis of which the matching is subsequently ...The model also predicts that (controlling for other characteristics) Trabajar participants are more likely to be members of ...
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Impact Evaluation of Remittance for Pakistan: Propensity Score Matching Approach
... Foreign remittances play an important role at the macro as well as micro levels. They are a major source of income of the recipient households in Pakistan and help mitigate the financial hardships of the households. The ...
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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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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
... of matching assumptions The conditional independence assumption cannot be directly tested, but several guidelines for model specification should be ...PSM model should be stable over time, or ...
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The effects of breastfeeding on childhood BMI: a propensity score matching approach
... We test the underlying assumption of PSM that there remains no unobserved confounding using a two-stage instrumental variable model for each of the breastfeeding treatments at ages 3, 5 and 7 years. We used ...
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The effects of training on Romanian migrants’ income: a propensity score matching approach
... the model because of multicollinearity, but the remaining results are fairly significant and show the expected sign of ...greater propensity compared to those with other marital ...
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AN INVESTIGATION INTO LONG-RUN ABNORMAL RETURNS USING PROPENSITY SCORE MATCHING
... biased, matching sample firms to control firms of similar sizes and book-to-market ratios eliminated these biases and offered considerable improvements in random ...three-factor model, also documented ...
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Maternal smoking during pregnancy and birthweight - A propensity score matching approach
... With few exceptions the literature relies on “selection on observables [Heckman and Rob(1985) ] and the standard practice consist of entering characteristics in levels in a linear model such as birthweight ...
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Remittances and household expenditure patterns in Tajikistan: A propensity score matching analysis
... of propensity scores is a key step in applying PSM analysis. Propensity scores are estimated respectively for total remittances, external remittances and internal ...The propensity scores are a ...
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