Table A1.

Correlation matrix – labor migrants (N = 2,503)

1234567891011121314151617181920
1Ethnic capital                    
2Family financial capital−0.005                   
3Family human capital−0.1410.089                  
4Family entrepreneurial capital0.044−0.085−0.013                 
5Entrepreneur’s age−0.005−0.0620.062−0.011                
6Gender (Female = 1)0.003−0.0430.0680.053−0.049               
7Number of children0.0240.2650.127−0.117−0.067−0.055              
8Years since immigration−0.0640.1230.192−0.1210.282−0.0250.074             
9Individual years of education−0.1470.0560.768−0.0020.1070.0760.0520.204            
10Stockholm County−0.049−0.069−0.0340.0100.028−0.0470.026−0.045−0.031           
11Information/communication−0.0850.0570.120−0.0030.021−0.075−0.0180.1160.118−0.051          
12Construction0.1200.037−0.1220.079−0.096−0.3200.021−0.200−0.1380.047−0.152         
13Hotels and restaurants0.017−0.081−0.0780.028−0.024−0.018−0.017−0.044−0.0830.023−0.068−0.202        
14Transport and retail0.054−0.083−0.011−0.0330.046−0.0090.0220.041−0.0220.017−0.073−0.217−0.097       
15Business services0.0600.037−0.0360.092−0.0930.361−0.031−0.085−0.021−0.043−0.075−0.223−0.099−0.107      
16Finance and real estate−0.0230.0280.002−0.0160.0650.0050.0320.046−0.006−0.021−0.023−0.068−0.030−0.033−0.033     
17Health and education−0.0670.0550.113−0.0780.0750.1600.0200.1290.1230.009−0.050−0.149−0.066−0.071−0.073−0.022    
18Europe−0.0380.002−0.0080.135−0.0320.0250.023−0.069−0.0040.055−0.0810.262−0.247−0.1030.108−0.033−0.002   
19Middle East0.278−0.012−0.099−0.055−0.009−0.0840.0500.008−0.107−0.012−0.038−0.1380.2980.112−0.073−0.007−0.020−0.506  
20Former Soviet Union−0.0580.0170.037−0.0630.0170.011−0.0470.0500.063−0.0830.085−0.029−0.0410.020−0.0150.007−0.014−0.353−0.039 
21Asia−0.071−0.0240.025−0.0670.0270.001−0.0540.0390.014−0.0270.101−0.1440.1630.080−0.0640.016−0.002−0.455−0.051−0.035

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