英文摘要 |
The purpose of this paper is two-fold: first, apply the multi-nominal logit model to estimate the attachment to various employment and non-employment sectors; second, adopt the generalized two-stage estimation approach to correct for selectivity bias in the wage equation of each employment sector. The employment section is classified as four mutually exclusive sectors of atypical/part-time, atypical/full-time, typical/part-time, and typical/full-time employment, while the non-employment section includes both sectors of unemployment and non-labor force. By fitting the related estimationmodels to household data from the Manpower Utilization Survey of Taiwan conducted in eachMay of 2011-2016, the results can be briefly summarized as follows: (1) Those with higher education level, married males, and single fathers, as well as generations X, Y, and Z, have a higher probability of attaining typical/full-time employment than their counterparts. (2) The two part-time sectors are found to have greater positive selection bias than the other two full-time sectors,mainly because the population wage dispersions of the former sectors are greater than those of the latter ones. (3) Of the four employment sectors, only the life-cycle wage profile of the typical/full-time employment sector is compatible with what is predicted in human capital theory. (4) Holding other things equal, the magnitudes of wage profiles by gender and marital status are found to be in the order of married male (; single father) > single male > single female (> single mom) > married female. (5) The county-level aggregate unemployment rate imposes a nonnegligible negative impact on the wage rate of each employment sector. |