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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