Skip to main content
. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Eur J Health Econ. 2011 Jun 10;13(6):741–754. doi: 10.1007/s10198-011-0327-x

Table 7.

Parameter estimates for immigrant versus native-born populations in the pooled 11 country sample

Physician visits
GP visits
Hospital visits
Negative binomial
Negative binomial
Poisson
Logit
β SE β SE β SE β SE
M4-GDP
Immigrant   0.08*** (0.025)   0.06** (0.025)   0.23*** (0.073)   0.23** (0.101)
Age   0.00** (0.000)   0.01*** (0.001)   0.01*** (0.002) −0.02*** (0.003)
Sex   0.06*** (0.013)   0.06*** (0.014)   0.13*** (0.042)   0.18*** (0.060)
% GDP spent   0.06*** (0.009)   0.04*** (0.001)   0.10*** (0.032) −0.35*** (0.045)
No of symptoms   0.18*** (0.004)   0.16*** (0.005)   0.06*** (0.011) −0.21*** (0.017)
Hear and vascular diseases   0.11*** (0.005)   0.12*** (0.005)   0.02 (0.016) −0.11*** (0.021)
Lung conditions   0.09*** (0.014)   0.10*** (0.015)   0.14*** (0.034) −0.03 (0.052)
Cancer   0.42*** (0.027)   0.21*** (0.029)   0.47*** (0.055) −0.78*** (0.093)
Diabetes   0.37* (0.021)   0.36* (0.022)   0.18*** (0.062) −0.66*** (0.093)
Fractures   0.08*** (0.043)   0.08* (0.044)   0.05 (0.095) −1.02*** (0.190)
Years of education −0.02*** (0.002) −0.03*** (0.002)   0.00 (0.005) −0.01 (0.007)
Employment −0.36 (0.018) −0.33*** (0.019)   0.61*** (0.082) −0.11 (0.101)
Extended access −0.02 (0.021)   0.00 (0.021)   0.04 (0.066) −0.08 (0.093)
Full coverage   0.15*** (0.020)   0.16*** (0.020)   0.05 (0.066) −0.07 (0.093)
Pseudo-R2 49.30% 48.72% 50.50%
M5-Dr. Pay, density, gatekeeper
Immigrant   0.07*** (0.025)   0.03 (0.025)   0.20*** (0.072)   0.19* (0.101)
Age   0.00* (0.001)   0.01*** (0.001) −0.01*** (0.002) −0.02*** (0.003)
Sex   0.06*** (0.013)   0.06*** (0.014) −0.14*** (0.044)   0.18*** (0.060)
Capitation −0.27*** (0.022) −0.33*** (0.022) −0.37*** (0.077) −0.55*** (0.100)
Fee-for-service −0.08 (0.027) −0.08*** (0.023) −0.02 (0.081) −0.73*** (0.113)
Salary
GP gatekeeper −0.16*** (0.024) −0.13*** (0.025)   0.32*** (0.070)   0.16 (0.101)
Dr. per 1,000 −0.18*** (0.027) −0.17*** (0.028) −0.06 (0.088) −0.14 (0.119)
No of symptoms   0.18*** (0.005)   0.15*** (0.004)   0.07*** (0.011) −0.20*** (0.017)
Heart and vascular diseases   0.10*** (0.005)   0.12*** (0.005)   0.01 (0.016) −0.11*** (0.022)
Lung conditions   0.10*** (0.014)   0.11*** (0.014)   0.14*** (0.035) −0.03 (0.053)
Cancer   0.43*** (0.028)   0.22*** (0.029)   0.46*** (0.055) −0.79*** (0.094)
Diabetes   0.36*** (0.021)   0.35*** (0.021) −0.19*** (0.063) −0.67*** (0.102)
Fractures   0.08* (0.043)   0.07* (0.044)   0.02 (0.093) −0.96*** (0.186)
Years of education −0.02*** (0.002) −0.03*** (0.002)   0.00 (0.005)   0.00 (0.007)
Employment −0.35*** (0.018) −0.33*** (0.019) −0.56*** (0.082) −0.07 (0.100)
Extended access   0.00 (0.022) −0.02 (0.022) −0.20* (0.068) −0.28*** (0.096)
Full coverage   0.11*** (0.009)   0.11*** (0.020) −0.07 (0.068) −0.05 (0.096)
Pseudo-R2 49.30% 48.63% 41.74%

M4 age, gender, immigrant status, health, GDP socioeconomic status, and supplementary insurance coverage

M5 age, gender, immigrant status, Dr. pay, GP gatekeeper, Dr. density, health, socioeconomic status, and supplementary insurance coverage.

Dr. type of payment: Capitation, Fee-for-service, and Salary (reference category). GP acts as a gatekeeper: YES or NO (reference category). For hospital visits, each column contains the results for the ZIP, the Poisson model and the logit model estimations, using the nlmixed procedure in SAS

A positive parameter in the logit equation means a higher probability of not being a hospital user

Source SHARE data, 2004 (individuals 50+)

Significance levels *** P < 0.01;

**

P < 0.05;

*

P < 0.1.

Standard errors in parentheses