Propensity score matching (PSM)
Balance diagnostics after propensity score matching
... on propensity score, the baseline covariates are expected to be balanced between treated and untreated ...the propensity score is ...after propensity score matching (PSM) ...
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Some Practical Guidance for the Implementation of Propensity Score Matching
... Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment ...the propensity score. Following that one has to decide which matching algorithm to ...
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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
... Abstract Propensity score matching (PSM) is a popular technique for selecting a sample in observational research that mimics the desirable qualities of a randomized controlled ...for ...
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Propensity score matching and policy impact analysis - a demonstration in EViews
... of propensity score matching (PSM) and, using data on the National Support Work Demonstration, compares that approach with other evaluation methods such as double difference, instrumental variable ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... Abstract We apply recent advances in propensity-score matching (PSM) to the problem of estimating the distribution of net income gains from an Argentinean workfare program. PSM has a number of ...
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The effects of breastfeeding on childhood BMI: a propensity score matching approach
... 11 Propensity score matching (PSM) is a tech- nique that tries to mimic a randomized trial while relax- ing some of these ...used propensity score (PS) approaches, 11 , 30 , 31 ...
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A Bayesian Spatial Propensity Score Matching Evaluation of the Regional Impact of Micro-finance
... In this study, Bayesian Spatial-Propensity Score Matching (BS-PSM) was used to measure the regional impact of microfinance. The regional effects of microfinance can arise when the impact of ...
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On the inefficiency of propensity score matching
... To choose the bandwidth values, leave-one-out least-squares cross-validation is often applied, separately for the D = 1 and the D = 0 group. Cross-validation is known to be inconsistent for estimating ATE and ATET since ...
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Latent Variables and Propensity Score Matching
... on propensity score matching, student responses to questions about time use and attitudes towards learning were added to the list of matching covariates instead of being used to model the ...
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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 ...subjects. Propensity score matching in essence mimics ...
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The Effects of Breastfeeding on Childhood BMI: A Propensity Score Matching Approach
... using propensity scores to account for ...BMI. Propensity score matching is used to investigate the mean BMI in children breastfed exclusively and partially for different durations of ...
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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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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 ...variables), matching is straightforward (one would ...
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Parole supervision and re-offending: a propensity score matching analysis
... To compare time to re-offend and time to re-imprisonment, the accelerated failure time (AFT) model 4 was used with robust variance structure that controls for the matched nature of the data. The AFT model is a parametric ...
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Catholic Schools and Bad Behavior: A Propensity Score Matching Analysis
... employ propensity score matching methods to control for the endogeneity of school ...the propensity to use cocaine and to have sex for female ...the propensity to use and sell drugs for ...
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Evaluation of Credit Guarantee Policy using Propensity Score Matching
... Abstract In the aftermath of the Asian financial crisis in Korea, the credit guarantee policy was used as an instrument by the government to support small and medium enterprises (SMEs). However, the effect of the credit ...
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The effects of training on Romanian migrants’ income: a propensity score matching approach
... Abstract: Training programs are an important tool of human resource management, especially in case of technological and organizational changes inside a company. According to the human capital theory, trainings generally ...
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Conviction, Gender and Labour Market Status: A Propensity Score Matching Approach
... a propensity score matching approach to determine the causal effect of conviction on labour market status of convicted ...years, propensity score matching approach has remained ...
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