Propensity Score Matching Characteristics
Propensity score matching
... Y 1i → the outcome of unit i if i were exposed to the treatment Y 0i → the outcome of unit i if i were not exposed to the treatment D i ∈{0, 1} → indicator of the treatment actually received by unit i Y i = Y 0i + D i (Y ...
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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 ...binary characteristics to be more ...
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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 ...
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Head to head comparison of the propensity score and the high-dimensional propensity score matching methods
... patient characteristics in both matched ...patient characteristics were more balanced within the Matched hdPS Sub-Cohort than within the Matched PS Sub-Cohort which should tend to lead to less biased mea- ...
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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 ...baseline characteristics between two or more treatment groups can still exist if the ...
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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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Propensity score matching methods for the analysis of recurrent events
... pretreatment characteristics of individuals are used to find the propensity ...various characteristics from individuals who do not participate, it is statistically imprudent to directly compare the ...
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Propensity score matching and policy impact analysis - a demonstration in EViews
... similar characteristics prior to the ...the propensity score is based only on observable characteristics clearly shows that the method assumes away unobservable heterogeneity that might arise ...
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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
... On average, RBH households own equipment that 2.7 times higher in worth than NRBH. RBH have 3.4 rooms per household compared to 2.4 rooms for NRBH. RBH own houses with more facilities such as electricity, safe drinking ...
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Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching
... community characteristics in which the individuals resides and on the household characteristics of the individuals as well as data on their educational and demographic ...community characteristics ...
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Propensity Score Matching Methods for Non-experimental Causal Studies
... In both Tables 2 and 3 the radius method of matching yields broadly similar results to the nearest-match method. As we increase the radius we use more and more controls. For the CPS we expand the number from 119 ...
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Evaluation of Credit Guarantee Policy using Propensity Score Matching
... Heckman et al., 1997; Smith, 2000), and recently has been applied to firm-level studies (Arnold and Hussinger, 2005; Yasar and Rejesus, 2005; Lööf and Heshmati, 2005). This study has a number of contributions to the ...
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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 ...observable characteristics, does not extrapolate to unob- servable ...
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The effects of training on Romanian migrants’ income: a propensity score matching approach
... As most of these variables are nominal, dummy variables were created for all of the above characteristics except for age. These dummies are indispensable for a reasonable interpretation, but they also lead to ...
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A skeptics view of the AGOA preferences of the USA: A propensity score matching approach
... The matching approach is expected to provide a causal explanation to whatever increases in exports of agoa countries is ...after matching—an increase in exports of preference beneficiaries would imply that ...
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Conviction, Gender and Labour Market Status: A Propensity Score Matching Approach
... the propensity score matching method. Propensity score matching method has two main advantages when compared with standard econometric ...Second, propensity score ...
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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 ...
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Maternal smoking during pregnancy and birthweight - A propensity score matching approach
... The matching method provides a way to estimate treatment effects when controlled randomization is not ...observable characteristics among the non- ...the matching estimator approximates the virtues ...
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Remittances and household expenditure patterns in Tajikistan: A propensity score matching analysis
... Instead propensity score matching techniques were applied to provide an unbiased estimation of a ...them. Propensity score matching methods enable measurements of the average ...
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