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Table 5 Sub-sample regression results for all outcomes using only SHS 2012 and controlling for interactions

From: What explains the inequalities in health care utilization between immigrants and non-migrants in Switzerland?

 

Pr(doctor visit)

Nr of doctor visits if doctor visit

Pr(ED visit)

Nr of ED visits if ED visit

 

Logit

NegbinII

Logit

NegbinII

FR

0.196***

0.195***

0.195***

0.049*

0.049*

0.049*

0.236***

0.236***

0.236***

-0.009

-0.009

-0.009

 

(0.050)

(0.050)

(0.050)

(0.022)

(0.022)

(0.022)

(0.061)

(0.061)

(0.061)

(0.024)

(0.024)

(0.024)

IT

0.252**

0.253**

0.250**

0.029

0.030

0.030

0.506***

0.506***

0.506***

0.045

0.046

0.046

 

(0.090)

(0.090)

(0.090)

(0.036)

(0.036)

(0.036)

(0.095)

(0.095)

(0.095)

(0.041)

(0.041)

(0.041)

Immigrants

0.032

  

0.069*

  

0.204*

  

0.050

  
 

(0.076)

  

(0.035)

  

(0.092)

  

(0.041)

  

FR × Immigrants

-0.265*

  

-0.114*

  

0.028

  

-0.034

  
 

(0.123)

  

(0.055)

  

(0.143)

  

(0.058)

  

IT × Immigrants

-0.075

  

-0.230*

  

-0.364

  

-0.122

  
 

(0.200)

  

(0.095)

  

(0.236)

  

(0.076)

  

1st gen IMM=1

 

-0.009

  

0.072

  

0.186

  

0.053

 
  

(0.080)

  

(0.038)

  

(0.100)

  

(0.044)

 

FR ×1st gen IMM=1

 

-0.266*

  

-0.126*

  

0.038

  

-0.019

 
  

(0.129)

  

(0.059)

  

(0.152)

  

(0.062)

 

IT ×1st gen IMM=1

 

-0.132

  

-0.221*

  

-0.300

  

-0.111

 
  

(0.207)

  

(0.103)

  

(0.250)

  

(0.079)

 

2nd gen IMM=1

 

0.329

  

0.048

  

0.316

  

0.037

 
  

(0.206)

  

(0.084)

  

(0.213)

  

(0.101)

 

FR ×2nd gen IMM=1

 

-0.177

  

-0.015

  

-0.020

  

-0.173

 
  

(0.343)

  

(0.150)

  

(0.354)

  

(0.112)

 

IT ×2nd gen IMM=1

 

0.544

  

-0.323*

  

-1.007

  

-0.323**

 
  

(0.717)

  

(0.136)

  

(0.580)

  

(0.106)

 

culturally different IMM=1

  

-0.011

  

0.099

  

0.258

  

0.058

   

(0.135)

  

(0.063)

  

(0.154)

  

(0.061)

FR × culturally different IMM=1

  

-0.615*

  

-0.229*

  

-0.216

  

-0.016

   

(0.240)

  

(0.113)

  

(0.291)

  

(0.098)

IT × culturally different IMM=1

  

-0.413

  

-0.306

  

-0.721

  

-0.098

   

(0.389)

  

(0.219)

  

(0.480)

  

(0.141)

culturally similar IMM=1

  

0.055

  

0.048

  

0.154

  

0.043

   

(0.080)

  

(0.037)

  

(0.097)

  

(0.049)

FR × culturally similar IMM=1

  

-0.158

  

-0.068

  

0.137

  

-0.034

   

(0.131)

  

(0.059)

  

(0.148)

  

(0.067)

IT × culturally similar IMM=1

  

0.067

  

-0.184*

  

-0.148

  

-0.131

   

(0.202)

  

(0.078)

  

(0.218)

  

(0.079)

Demographic factors included

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Socio-economic factors included

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Health insurance factors included

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Health status factor included

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Mean (Standard deviation)

0.78 (0.417)

0.78 (0.417)

0.78 (0.417)

4.26 (4.714)

4.26 (4.714)

4.26 (4.714)

0.12 (0.329)

0.12 (0.329)

0.12 (0.329)

1.22 (0.560)

1.22 (0.560)

1.22 (0.560)

Number of observations

17419

17419

17419

13591

13591

13591

17419

17419

17419

2096

2096

2096

Number of regressors

28

31

31

28

31

31

28

31

31

28

31

31

Pseudo R-Squared

0.098

0.099

0.099

0.040

0.040

0.040

0.037

0.037

0.038

0.005

0.005

0.005

p-value (F-statistic)

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

AMPE of IMM/FG/DIF

-0.007

-0.014

-0.034

0.092

0.094

0.079

0.019

0.018

0.015

0.035

0.045

0.054

 

(0.009)

(0.010)

(0.018)

(0.117)

(0.125)

(0.220)

(0.008)

(0.008)

(0.015)

(0.036)

(0.038)

(0.059)

AMPE of SG/SIM

 

0.046

0.003

 

0.095

0.066

 

0.027

0.020

 

-0.048

0.025

  

(0.022)

(0.010)

 

(0.290)

(0.124)

 

(0.020)

(0.008)

 

(0.081)

(0.042)

  1. Sources: SHS 2012, own calculations.
  2. Notes: FR: French-speaking regions. IT: Italian-speaking regions. The outcome variables refer to the past 12 months. Robust standard errors are in parentheses. The demographic factors included are age groups, gender, marital status, language region and urban region. The socio-economic factors included are education, income and occupation. The health insurance factors included are the different levels of deductible. The health status factor included is the likelihood of activities of daily living impairment (ADL).
  3. ***p<0.001,**p<0.01, *p<0.05.