Practicability Analysis Sample Clauses

Practicability Analysis. According to Xxxxxxxxx & Xxxxx (1983), the propensity score is suitable for testing causal effects because it is sufficiently removed bias due to all observed covariates (Xxxxx- xxxx & Xxxxx 1983). Moreover, the matching method requires a valid assumption of randomisation and conditional independence (CIA), according to Xxxxxxxx (2018). The applicability of using propensity score matching in this study is explained as follows: Firstly, the observations of this research are randomly selected. This research employs datasets derived from The Labour Force Survey (LFS). The Office for National Statis- tics (ONS) selects samples through a multi-stage stratified random sampling technique (Xxxxx & Xxxxxxx 1999) to ensure observations were obtained from the randomised selection. Secondly, this paper meets the requirement of Conditional Independent Assumption (CIA). The decision-making process for participating in job-related training or skills im- provement highly depends on personalities and abilities, such as education level, work performance, or Marital history (Hill 2001). The results derived from the Probit model have revealed that the impacts of job training and self-improvement on employability are statistically significant. This indicates that post-school training, which could simul- taneously influence both treatment assignment and potential outcomes, could be clearly identified in experiments. Therefore, the Conditional Independence Assumption (CIA) is satisfied. Moreover, existing literature provides empirical evidence regarding using Propensity score matching in non-experimental employment research.Xxxxxxx et al. (1998) explored a new way of evaluating a job training programme by applying propensity score matching on nonexperimental data. Xxxxxxx & Xxxxx (1999) used propensity score matching to re-estimate an experiment and found that results produced by propensity score matching were much closer to the experimental results. Ohkusa (2004) also used the propensity score matching and average treatment effect and discovered that unemployment benefits introduced adverse effects on the labour movement in the Japanese Labour market. Vyas & Xxxxx (2014) used propensity score matching to explore the impact of partner violence on women’s employment in Tanzania. They found that working women had a higher possibility of suffering from partner violence and suggested self-selection for employment.‌
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  • Background Purchaser wishes to purchase a Revenue Sharing Note issued by the Company through xxx.Xxxxxxxx.xxx (the “Site”).

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