Sample Selection Model with Bootstrap (BPSSM) Approach:

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117-Sample selection model with bootstrap (BPSSM) approach Case study of the Malaysian population and family survey 1994.pdf (423.2 KB)
Date
2016
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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.
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Sampel Selection, Bootstrap, Standard Error, Confidence Intervals
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http://hdl.handle.net/123456789/5488
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