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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