Research Article
An Empirical Analysis of Unpaid Leave in Taiwan
Table 3
Probit marginal effect estimates of unpaid leave without economic factor.
| Sample | Overall | Male | Female | Variables | | Std. Err. | | Std. Err. | | Std. Err. |
| Age2 | −0.026 |
(0.058)
| −0.044 |
(0.081)
| 0.008 |
(0.086)
| Age3 | −0.155** |
(0.064)
| −0.215** |
(0.091)
| −0.096 |
(0.093)
| Age4 | −0.205*** |
(0.069)
| −0.274*** |
(0.095)
| −0.122 |
(0.103)
| Age5 | −0.237*** |
(0.090)
| −0.343*** |
(0.119)
| −0.101 |
(0.155)
| Gender | 0.007 |
(0.033)
| — | — | Edu2 | 0.065 |
(0.071)
| 0.044 |
(0.095)
| 0.059 |
(0.112)
| Edu3 | −0.011 |
(0.077)
| 0.018 |
(0.101)
| −0.098 |
(0.124)
| Edu4 | −0.174* |
(0.102)
| −0.120 |
(0.136)
| −0.315* |
(0.162)
| Marit2 | 0.016 |
(0.048)
| 0.081 |
(0.067)
| −0.091 |
(0.073)
| Marit3 | −0.091 |
(0.082)
| −0.214* |
(0.125)
| −0.035 |
(0.113)
| Marit4 | −0.252* |
(0.150)
| 0.026 |
(0.253)
| −0.497** |
(0.199)
| Race2 | 0.011 |
(0.052)
| −0.012 |
(0.069)
| 0.053 |
(0.081)
| Race3 | 0.107** |
(0.049)
| 0.113* |
(0.068)
| 0.104 |
(0.075)
| Race4 | 0.088 |
(0.157)
| 0.109 |
(0.214)
| 0.068 |
(0.256)
| Position2 | −0.071 |
(0.054)
| −0.091 |
(0.071)
| −0.083 |
(0.087)
| Position3 | −0.191*** |
(0.053)
| −0.181** |
(0.071)
| −0.225*** |
(0.082)
| Position4 | −0.085 |
(0.070)
| −0.048 |
(0.094)
| −0.113 |
(0.106)
| Position5 | 0.014 |
(0.060)
| 0.076 |
(0.076)
| −0.095 |
(0.101)
| Position6 | 0.145 |
(0.303)
| 0.115 |
(0.316)
| — | Happy | −0.051 |
(0.035)
| −0.108** |
(0.046)
| 0.007 |
(0.055)
| Health | 0.054 |
(0.067)
| 0.116 |
(0.115)
| −0.013 |
(0.087)
| Residence2 | 0.034 |
(0.042)
| 0.065 |
(0.059)
| 0.018 |
(0.060)
| Residence3 | −0.028 |
(0.039)
| −0.060 |
(0.053)
| 0.029 |
(0.061)
| Residence4 | −0.289*** |
(0.096)
| −0.338*** |
(0.128)
| −0.196 |
(0.155)
|
| Predicted probability | 0.286 | 0.294 | 0.264 | Observations | 855 | 485 | 370 |
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Notes. (1) The is for discrete change of dummy from 0 to 1. (2) Other notes are the same as in Table 2.
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