This study analyzes the impact of a welfare-to-work program on maternal depression mediated by employment experience in the context of a randomized experiment. We develop parametric and non-parametric weighting procedures as alternative strategies for removing selection bias in estimating the controlled direct effect of the policy and that of the mediator. Through ratio-of-mediator-probability ...

This paper demonstrates the identification of causal mechanisms of a binary treatment under selection on observables, (primarily) based on inverse probability weighting; i.e. we consider the average indirect effect of the treatment, which operates through an intermediate variable (or mediator) that is situated on the causal path between the treatment and the outcome, as well as the (unmediated)...

Mediation analysis is widely used to identify significant mediators and estimate the mediation (direct indirect) effects in causal pathways between an exposure variable a response variable. In analysis, effect refers transmitted by mediator intervening relationship Traditional methods, such as difference coefficient method, product of counterfactual framework all require several key assumptions...

This paper proposes that high value on the work-life balance, compensation, career opportunity and fitness of culture management style would improve job satisfaction. A turnover risk prediction model based random forest is constructed to understand feature identify risk. Using a sample 17,724 online reviews employees from Glassdoor, positive effect antecedents, satisfaction variable as mediator...

1. introduction how people manage risks and which variables influence on the process of risk management play a crucial role in providing productive urban disaster management and increasing public participation in the urban risk management programs. the purpose of this study is to better understand the motivations of residents in adopting reduction risk behaviors to protect themselves and their ...