Propensity score
The finite sample performance of inference methods for propensity score matching and weighting estimators
... the propensity score) is dened as the dierence of average propensity scores across treatment states normalized by the square root of the sum of estimated variances of the propensity scores in ...
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Propensity score methodology for confounding control in health care utilization databases
... Propensity score (PS) methodology is a common approach to control for confounding in non- experimental studies of treatment effects using health care utilization ...of propensity scores and ...
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Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study
... the propensity score can increase the efficiency of impact estimates remains ...the propensity score matching estimator, since there have been no asymptotic properties derived for ...
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The Effects of Remittances on Poverty at the Household Level in Bolivia: A Propensity Score Matching Approach
... This paper contributes to the literature of remittances and poverty by studying the direct effect between remittances and poverty at a household level in Bolivia. We use micro data collected in 2008 by the National ...
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Evaluating the Effects of Farm Programs: Results from Propensity Score Matching
... Conditional probabilities for participation in AE and LFA programs are computed by estimating two logit models. Table A2 in the appendix reports the parameter estimates for both models, the results are only briefly ...
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Remittances and household expenditure patterns in Tajikistan: A propensity score matching analysis
... non-treated unit matched to the i th treated unit, T is the total number of treated units, C is the total number of non-treated units and W(i,j) is a positive valued weight function. Different types of parametric and ...
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Community College Honors Education and Student Outcomes: A Propensity Score Analysis
... dichotomous variable of group (NP = 0, HP = 1). One-to-one matched sets of NPs and HPs were then formed based on the similar value of the propensity score. The next phase of analysis was to determine the ...
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Conviction, Gender and Labour Market Status: A Propensity Score Matching Approach
... applies propensity score matching methods to National Child Development Study dataset to evaluate the effect of conviction on labour market status, paying specific attention to gender ...
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The effects of training on Romanian migrants’ income: a propensity score matching approach
... the propensity score matching (PSM) method was proposed in the evaluation problems, as a method to reduce the bias in the estimation of treatment effects with observational data ...
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A skeptics view of the AGOA preferences of the USA: A propensity score matching approach
... Four propensity score models are ...the propensity score ...the propensity score (Guo and Fraser, 2010, Lee, ...the propensity score indicate a good balance between ...
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What is propensity score modelling?
... way, propensity scores can be likened to a RCT where pairs are matched and then randomised to treatment or ...same score, and inexact matching causes ...the propensity score: stratification of ...
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Thymectomy for non-thymomatous myasthenia gravis: a propensity score matched study
... 2. Propensity Score (PS) Models: Several models were tested, and the model with the best balance between the variables was chosen [15]. All models tested included the main drivers of the decision to operate ...
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AN INVESTIGATION INTO LONG-RUN ABNORMAL RETURNS USING PROPENSITY SCORE MATCHING
... between propensity score matching and meth- ods that have long been used as a favored tool in calculations of abnormal returns, specifically the control firm approach as described in Lyon and Barber (1997), ...
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Targeted temperature management in cardiac arrest: survival evaluated by propensity score matching
... for propensity score matching, which allowed us to retain patients with these characteristics in both TTM and non-TTM ...Coma Score (GCS) > 8 and patients with coagulopathy or terminal illness ...
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Productivity and Credit Constraints: Firm-Level Evidence from Propensity Score Matching
... Third, propensity score matching addresses the issue of self-selection bias owing to observed ...The propensity score reduces selection bias by equating groups based on many known ...
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Free Primary Education in Kenya: An Impact Evaluation Using Propensity Score Methods
... years, propensity score matching (PSM) has gained attention as a potential method for estimating the impact of public policy programmes in the absence of experimental evaluations (Rosenbaum and Rubin, ...
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Risky Borrowers or Risky Mortgages Disaggregating Effects Using Propensity Score Models
... the propensity score matching method in real estate ...uses propensity score models to explicitly address the selection bias issue and constructs a comparison group based on observational ...
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A comparison of two approaches to implementing propensity score methods following multiple imputation
... As with any simulation study, an important limitation of this study is the potentially limited generalisability. The scenarios considered here represent only a small and simplified subset of those likely to be ...
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Instrumental Variable and Propensity Score Methods for Bias Adjustment in Non-Linear Models
... Besides non-compliance problem, RCTs are subject to many other limitations, such as lack of gen- eralizability, high cost, lengthy study period, ethic concerns, and difficulty in studying rare diseases, etc (Nallamothu ...
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Comparison of extracorporeal and conventional cardiopulmonary resuscitation: a retrospective propensity score matched study
... sity score and might have influenced the final ...the propensity score reduced some selection bias, there may still have been some remaining bias because of the relatively small size of the matched ...
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