Research Article

An Empirical Analysis of Unpaid Leave in Taiwan

Table 4

Probit coefficient estimates of unpaid leave with economic factor.

SampleOverallMaleFemale
VariablesCoef.Std. Err.Coef.Std. Err.Coef.Std. Err.

Age20.314 (0.254) 0.382 (0.429) 0.451 (0.416)
Age30.076 (0.318) 0.082 (0.559) 0.256 (0.523)
Age4−0.122 (0.306) −0.149 (0.530) 0.143 (0.501)
Age5−0.206 (0.357) −0.356 (0.568) 0.124 (0.620)
Gender0.303* (0.161)
Edu2−0.249 (0.745) 0.327 (1.013) −2.871 (2.134)
Edu3−0.601 (1.215) 0.618 (1.696) −5.379 (3.651)
Edu4−1.121 (1.563) 0.550 (2.209) −7.464 (4.725)
Marit20.122 (0.162) 0.425* (0.253) −0.380 (0.296)
Marit30.365 (0.434) −0.147 (0.664) 1.794* (1.061)
Marit4−0.068 (0.684) 0.471 (1.160) 0.764 (1.398)
Race20.021 (0.153) −0.069 (0.203) 0.134 (0.250)
Race30.406*** (0.152) 0.454** (0.215) 0.437* (0.246)
Race40.518 (0.483) 0.617 (0.667) 0.440 (0.803)
Position2−0.211 (0.161) −0.240 (0.209) −0.267 (0.268)
Position3−0.561*** (0.158) −0.505** (0.210) −0.716*** (0.256)
Position4−0.282 (0.207) −0.145 (0.275) −0.458 (0.333)
Position50.068 (0.178) 0.260 (0.225) −0.302 (0.314)
Position60.371 (0.891) 0.335 (0.918)
Happy−0.161 (0.103) −0.335** (0.136) 0.049 (0.173)
Health0.163 (0.198) 0.374 (0.335) 0.032 (0.270)
Residence20.124 (0.124) 0.213 (0.174) 0.093 (0.187)
Residence3−0.076 (0.116) −0.163 (0.155) 0.094 (0.188)
Residence4−0.831*** (0.283) −0.953** (0.375) −0.567 (0.479)
Earnings−0.833** (0.394) −1.313 (0.910) −0.722 (0.549)
Income1.439 (1.115) 0.626 (1.468) 6.246* (3.702)
Constant−7.453 (12.042) 5.991 (17.172) −58.658 (38.981)

855485370
Log likelihood−480.213−270.147−198.354
LR chi2 (26)90.01***64.41***48.34***

Notes.
(1) Goodness of fit is as follows: the result of Log-likelihood ratio test can reject the hypothesis that all coefficients except for the intercept are 0 at the 0.01 level. Considering the Gender variable, the LR chi2 of male is LR chi2 (25) and female sample is LR chi2 (24), respectively.
(2) Other notes are the same as in Table 2.