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Table 3 Ordered probit model: estimates of job satisfaction and average partial effects on job dissatisfaction, ages of 15–64

From: Job dissatisfaction and migration: evidence from Tajikistan

Variables Job satisfaction model estimates Average partial effects on job dissatisfaction
Model 1 Model 2 Model 1 Model 2
age 0.0038 (0.0022)* 0.0043 (0.0022)* − 0.0006 (0.0003)* − 0.0006 (0.0003)*
resm   − 0.1252 (0.0597) **   0.0181 (0.0087)**
resw − 0.6467 (0.1639)*** − 0.6196 (0.1631)*** 0.0937 (0.0241)*** 0.0897 (0.0239) ***
ch14 − 0.0196 (0.0135) − 0.0196 (0.0135) 0.0028 (0.0019) 0.0028 (0.0019)
pcnf 1.5474 (0.7415)** 1.5446 (0.7382)** − 0.2243 (0.1073)** − 0.2236 (0.1067)**
meduc 0.0304 (0.0660) 0.0254 (0.0661) − 0.0044 (0.0093) − 0.0036 (0.0094)
heduc 0.2588 (0.0819)*** 0.2546 (0.0819)*** − 0.0329 (0.0091)*** − 0.0324 (0.0091)***
male 0.0857 (0.0488)* 0.0785 (0.0489) − 0.0124 (0.0071)* − 0.0114 (0.0071)
capl − 0.3036 (0.0768)*** − 0.3152 (0.0772)*** 0.0516 (0.0148)*** 0.0538 (0.0150)***
ssec 0.1044 (0.0573)* 0.1076 (0.0574)* − 0.0149 (0.0081)* − 0.0154 (0.0081)*
fdpl 0.1232 (0.0678)* 0.1184 (0.0679)* − 0.0173 (0.0093)* − 0.0166 (0.0093)*
smpl − 0.1788 (0.0690)*** − 0.1881 (0.0693)*** 0.0282 (0.0118)** 0.0298 (0.0119)**
Constant-cut1 − 1.1993 (0.1100)*** − 1.2152 (0.1098)***   
Constant-cut2 − 0.2903 (0.1059)*** − 0.3051 (0.1057)***   
Observations 2901 2901 2901 2901
Pseudo R2 0.029 0.030   
  1. Dependent variable: job satisfaction (1—“dissatisfied”, 2—“neither satisfied nor dissatisfied”, 3—“satisfied”).
  2. Standard errors in parentheses, *p < .10, **p < .05, ***p < .01