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http://umt-ir.umt.edu.my:8080/handle/123456789/5488| Title: | Sample Selection Model with Bootstrap (BPSSM) Approach: |
| Other Titles: | Case Study of the Malaysian Population and Family Survey |
| Authors: | Muhamad Safiih Lola Wan Saliha Wan Alwi Nurul Hila Zainuddin |
| Keywords: | Sampel Selection Bootstrap Standard Error Confidence Intervals |
| Issue Date: | 2016 |
| Publisher: | Scientific Research Publishing |
| Abstract: | Heckman Sampel Selection Model (PSSM) has been adopted widely in the study of labour work. This model contains exogenous, endogenous and standard error variables. However, this model is constantly exposed to high inaccuracy of estimation result. Therefore, to obtain an accurate and precise estimation, the bootstrap approach is introduced. The bootstrap approach will be hybrid with PSSM model known as BPSSM to achieve estimation result that is more precise. Then, the BPSSM is applied to Malaysian Population and Family Survey 1994 (MPFS-1994) data. The results showed that BPSSM provide a smaller standard error and shorter confidence intervals. |
| URI: | http://hdl.handle.net/123456789/5488 |
| Appears in Collections: | Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 117-Sample selection model with bootstrap (BPSSM) approach Case study of the Malaysian population and family survey 1994.pdf | Full Text File | 423.2 kB | Adobe PDF | View/Open |
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