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Table 4 Impact of price deregulation on patients’ medical expenditure for non-dominant diseases

From: Deregulation and pricing of medical services: a policy experiment based in China

 

Total expenditure

Diagnostic test expenditure

Drug expenditure

Service expenditure

Proportion of diagnostic test expenditure

Proportion of drug expenditure

Privite

0.068***

0.042***

0.231***

− 0.102***

−0.029***

0.069***

(0.007)

(0.012)

(0.011)

(0.008)

(0.002)

(0.002)

Time

−0.092***

− 0.068***

− 0.459***

0.032***

0.049***

− 0.095***

(0.007)

(0.014)

(0.011)

(0.008)

(0.002)

(0.001)

Privite#time

0.100***

−0.957***

− 0.191***

0.284***

− 0.046***

− 0.019***

(0.009)

(0.029)

(0.016)

(0.012)

(0.002)

(0.002)

Constant

7.053***

4.709***

5.875***

6.362***

0.160***

0.353***

(0.025)

(0.066)

(0.036)

(0.028)

(0.006)

(0.006)

ICD code

Yes

Yes

Yes

Yes

Yes

Yes

Time fixed effect

Yes

Yes

Yes

Yes

Yes

Yes

Control variables

Yes

Yes

Yes

Yes

Yes

Yes

N

170,510

169,909

170,220

169,904

169,087

169,398

R-squared,

0.382

0.148

0.373

0.404

0.227

0.350

  1. The dependent variable for all expenditures is in logarithmic form. and we controlled for gender, age, length of hospitalization, insurance type, complication, ICD code, and time fixed effect too. Regression coefficients are reported as elasticity and interactions as marginal effects. The significance levels are as follows: ***p < 0.01. The numbers in parentheses represent robust standard errors