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Table 4 Immigration and native “occupational upgrading”

From: Immigration and careers of European workers: effects and the role of policies

Specification:

(1)

OLS

(2)

OLS

(3)

OLS

(4)

2SLS

(5)

2SLS

(6)

2SLS

Occupation upgrade

-0.1427

0.2620

0.4357***

0.8118***

1.0510***

1.0018***

2-year interval

[0.2019]

[0.2124]

[0.1519]

[0.2372]

[0.2303]

[0.2541]

Observations

348

210

210

210

210

126

F-stat 1st stage

.

.

.

70.55

44.09

48.02

Occupation upgrade

0.0207

0.3310

0.6294***

0.8466***

1.2376***

1.8067***

3-year interval

[0.1986]

[0.2097]

[0.1647]

[0.2072]

[0.2330]

[0.2172]

Observations

272

168

168

168

168

84

F-stat 1st stage

.

.

.

86.58

63.38

50.71

Occupation upgrade

0.2895

0.7059***

0.9237***

1.2148***

1.3969***

2.2955***

4-year interval

[0.1997]

[0.1743]

[0.1320]

[0.2433]

[0.1986]

[0.2440]

Observations

196

126

126

126

126

42

F-stat 1st stage

.

.

.

60.90

47.81

7.478

Fixed effects

Country, Year

Country, Year

Country, Year

Country, Year

Country, Year

Country, Year

Interaction effects

No

No

Year × Country

No

Year × Country

Year × Country

   

Year × Occupation

 

Year × Occupation

Year × Occupation

Lag dependent

No

No

No

No

No

Yes

  1. Note: Each cell reports the estimate from a different regression. The coefficient reported in columns (1) to (6) is the coefficient of interest on the share of individuals upgrading in the year-country-occupation cells, as written at the beginning of each row. The length of the time interval t, t+r is also indicated in the first cell of each row. All regressions are performed at country-year-occupation level and include dummies for occupation, year and countries and the share of European natives in each education group, marital status, industry and tenure group. In brackets we report the standard errors clustered at the country-occupation level. In column (1) the estimates are produced using the whole sample. *, **, *** indicate significance at the 10, 5 and 1% level.