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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Health Econ. 2016 Feb 9;26(4):431–449. doi: 10.1002/hec.3322

Table VII.

Regression for healthcare usage

Dependent variable

Having outpatient visit Having inpatient visit
UEMI 0.021 (0.017) 0.039*** (0.014)
URMI 0.013 (0.020) 0.022* (0.013)
NCMS 0.017 (0.013) 0.032*** (0.009)
Other health insurance −0.006 (0.020) 0.036** (0.015)
Multiple health insurance 0.023 (0.019) 0.003 (0.017)
Log(PCE) 0.024** (0.011) 0.012 (0.008)
UEMI * demeaned Log(PCE) −0.005 (0.016) 0.021 (0.013)
URMI * demeaned Log(PCE) 0.013 (0.019) 0.014 (0.014)
NCMS * demeaned Log(PCE) −0.012 (0.012) 0.023*** (0.009)
Other HI * demeaned Log(PCE) 0.019 (0.018) 0.006 (0.013)
Multiple HI * demeaned Log(PCE) −0.013 (0.021) −0.016 (0.014)
Can read and write 0.024** (0.010) 0.014* (0.008)
Elementary school 0.021** (0.010) −0.001 (0.007)
Middle school and above 0.014 (0.010) 0.002 (0.008)
Age 55–64 −0.003 (0.007) 0.013** (0.005)
Age 65–74 −0.001 (0.010) 0.036*** (0.008)
Age 75+ −0.005 (0.014) 0.059*** (0.012)
Male −0.036*** (0.006) 0.013*** (0.005)
Never married/divorced/separated −0.015 (0.012) −0.025*** (0.008)
Widowed −0.001 (0.011) −0.026*** (0.008)
Self-reported poor health 0.145*** (0.009) 0.079*** (0.008)
Any major chronic conditions 0.047*** (0.010) 0.080*** (0.009)
Any minor chronic conditions 0.079*** (0.007) 0.020*** (0.005)
Any ADL/IADL 0.027*** (0.009) 0.044*** (0.007)
Constant −0.132 (0.094) −0.128* (0.068)
Observations 17,014 17,100
R2 0.130 0.106
p-value of F-test for all age dummies 0.969 0.000
p-value of F-test for all education dummies 0.081 0.194
p-value of F-test for insurance schemes and interaction terms 0.216 0.011
p-value of F-test for PCE and its interaction terms 0.000 0.000
p-value of F-test for interaction terms between PCE and insurance schemes 0.169 0.125
p-value of F-test for all health variables 0.000 0.000

Robust standard errors (clustered at the community level) are in parentheses. Reference group of health insurance dummies are people with no health insurance. All regressions control community fixed effects. As the health status variables are possibly endogenous, we also run regressions without them but obtain similar results.

NCMS, New Rural Cooperative Medical Scheme; UEMI, Urban Employee Medical Insurance; URMI, Urban Resident Medical Insurance; ADL, activities of daily living; IADL, Instrumental activities of daily living; HI, Health insurance.

***

p < 0.01,

**

p < 0.05,

*

p < 0.1.