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Table 7 Effects on the labor market—Natives and non-natives

From: Living with the neighbors: the effect of Venezuelan forced migration on the labor market in Colombia

 

Hourly wages (logs)

Employment

Unemployment

Informality

Hourly wages (logs)

Employment

Unemployment

Informality

\([\text {a}]\) Migration effect \((S_d)\)

− 0.004***

− 0.001***

0.001**

0.000

    

(0.001)

(0.000)

(0.000)

(0.000)

    

\([\text {b}]\) Migration effect \((S_d)\) \(\times\) Non-natives

0.000

− 0.000

− 0.001

0.002**

    

(0.002)

(0.002)

(0.001)

(0.001)

    

\([\text {a}]\) Migration effect \((T_d)\)

    

− 0.100***

− 0.034***

0.015

0.009

    

(0.016)

(0.004)

(0.007)

(0.011)

\([\text {b}]\) Migration effect \((T_d)\) \(\times\) Non-natives

    

0.016

0.043

-0.016

0.027

    

(0.029)

(0.051)

(0.038)

(0.026)

P-value wild bootstrap SE—Natives

[0.041]

[0.136]

[0.092]

[0.484]

[0.043]

[0.026]

[0.131]

[0.595]

\([\text {a}] + [\text {b}]\) Effect on Non-natives

− 0.004*

− 0.002

0.000

0.003***

-0.084*

0.009

− 0.001

0.037*

P-value wild bootstrap SE—Non-natives

[0.180]

[0.843]

[0.947]

[0.093]

[0.332]

[0.836]

[0.974]

[0.329]

Mean Dep. variable—Natives

 

0.615

0.119

0.509

 

0.606

0.134

0.597

Mean Dep. variable—Non-natives

 

0.592

0.138

0.528

 

0.528

0.203

0.745

Observations

1,905,361

3,150,714

2,179,996

1,905,361

388,653

675,605

454,132

388,653

Individual controls

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Department and time FE

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

  1. Robust and clustered standard errors at department level in parentheses and P-values based on wild bootstrap-t standard errors with a 6-point distribution as in Webb (2014) are in square brackets. The observations correspond to the period 2013-2019. For information on the specification of regressions, see footnotes to Table 2. Source: Own elaboration based on the GEIH-DANE
  2. *** Significant at 1%; ** significant at 5%; *significant at 10%