... 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 ...
... on propensityscorematching, 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 ...
... on propensityscore, the baseline covariates are expected to be balanced between treated and untreated ...the propensityscore is ...after propensityscorematching (PSM) ...
... PropensityScoreMatching (PSM) has become a popular approach to estimate causal treatment ...the propensityscore. Following that one has to decide which matching algorithm to ...
... do not conduct randomized controlled trials to make causal inference, instead some pretreatment characteristics of individuals are used to find the propensityscore. In many fields of study, the primary ...
... Abstract Propensityscorematching (PSM) is a popular technique for selecting a sample in observational research that mimics the desirable qualities of a randomized controlled ...for ...
... Abstract: We introduce a wild bootstrap algorithm for the approximation of the sampling dis- tribution of pair or one-to-many propensityscorematching estimators. Unlike the conventional iid ...
... the propensityscore and evaluates the impact using data from common support area for both RBH and NRBH ...the propensityscorematching approach which replicates the experimental ...
... Abstract We apply recent advances in propensity-scorematching (PSM) to the problem of estimating the distribution of net income gains from an Argentinean workfare program. PSM has a number of ...
... employ propensityscorematching 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 ...
... 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 ...
... on propensityscorematching methods is that, in many applications of interest, the dimensionality of the observable characteristics is ...variables), matching is straightforward (one would ...
... of propensityscorematching (PSM) and, using data on the National Support Work Demonstration, compares that approach with other evaluation methods such as double difference, instrumental variable ...
... using propensity scores to account for ...BMI. Propensityscorematching is used to investigate the mean BMI in children breastfed exclusively and partially for different durations of ...
... 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 ...
... 11 Propensityscorematching (PSM) is a tech- nique that tries to mimic a randomized trial while relax- ing some of these ...used propensityscore (PS) approaches, 11 , 30 , 31 ...
... a propensityscorematching approach to determine the causal effect of conviction on labour market status of convicted ...years, propensityscorematching approach has remained ...
... 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 ...
... 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 lead to ...