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Table 3 OLS regression of wage equation with individual characteristics

From: Demand and supply effects on native-immigrant wage differentials: the case of Malaysia

Variables

Pooled

Native (βn)

Immigrant (βm)

T-Test

Pr (βn−βm=0)

Immigrant

−0.339***

 

(0.023)

   

Male

0.186***

0.189***

0.130**

 
 

(0.013)

(0.013)

(0.054)

 

Married

0.097***

0.100***

0.090**

 
 

(0.016)

(0.017)

(0.044)

 

Training

0.004***

0.004***

−1.85-E04

*

 

(0.001)

(0.001)

(0.003)

 

Tenure

0.026***

0.026***

0.017*

 
 

(0.003)

(0.003)

(0.009)

 

Tenure square

−1.97E-04*

−2.17-E04*

2.74-E04

***

 

(1.14E-04)

(1.19-E04)

(3.36-E04)

 

Potential experience

0.033***

0.035***

0.010

**

 

(0.002)

(0.002)

(0.010)

 

Potential experience square

−0.001***

−0.001***

−3.14-E04

***

 

(4.58-E05)

(4.74-E05)

(2.71-E04)

 

Degree

1.054***

1.088***

0.565***

***

 

(0.027)

(0.028)

(0.140)

 

Diploma

0.714***

0.735***

0.570***

 
 

(0.023)

(0.024)

(0.148)

 

Upper secondary

0.263***

0.280***

0.080

***

 

(0.016)

(0.017)

(0.055)

 

Management

0.223***

0.221***

−0.006

 
 

(0.026)

(0.026)

(0.218)

 

Professional

0.284***

0.270***

0.613***

*

 

(0.026)

(0.027)

(0.202)

 

Skilled

0.096***

0.092***

0.167**

 
 

(0.019)

(0.020)

(0.080)

 

Unskilled

−0.160***

−0.169***

−0.052

**

 

(0.016)

(0.017)

(0.048)

 

Constant

1.027***

0.992***

1.026***

 
 

(0.025)

(0.026)

(0.106)

 

R2

0.342

0.320

0.117

 

N

13,170

11,925

1,245

 
  1. Numbers in parentheses are standard errors
  2. Dependent variable is Log hourly wage
  3. *Statistically significant at p < 0.1
  4. **Statistically significant at p < 0.05
  5. ***Statistically significant at p < 0.01