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Table 2 Results revealing the impact of price deregulation on patients’ medical expenditure

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 0.059*** 0.076*** 0.245*** −0.117*** − 0.019*** 0.064***
(0.006) (0.011) (0.010) (0.007) (0.002) (0.002)
Time −0.107*** − 0.056*** − 0.441*** 0.013* 0.045*** − 0.089***
(0.007) (0.013) (0.010) (0.008) (0.001) (0.001)
Privite#time 0.105*** −1.175*** −0.445*** 0.343*** −0.057*** − 0.031***
(0.008) (0.024) (0.016) (0.010) (0.002) (0.002)
Gender −0.005 −0.015* − 0.013*** 0.000 − 0.000 − 0.002***
(0.003) (0.008) (0.005) (0.004) (0.001) (0.001)
Age 0.017*** 0.050*** 0.015*** −0.002*** 0.005*** 0.000*
(0.000) (0.001) (0.000) (0.000) (0.000) (0.000)
Days_inpatient 0.036*** 0.011*** 0.041*** 0.047*** −0.005*** 0.001***
(0.002) (0.001) (0.002) (0.002) (0.000) (0.000)
Insurance 0.141*** 0.140*** 0.170*** 0.028*** 0.006*** 0.024***
(0.005) (0.009) (0.006) (0.006) (0.001) (0.001)
Complication 0.175*** −0.324*** 0.271*** 0.197*** −0.030*** 0.017***
(0.006) (0.013) (0.009) (0.007) (0.001) (0.001)
Constant 7.101*** 4.807*** 5.928*** 6.459*** 0.158*** 0.345***
(0.027) (0.065) (0.036) (0.030) (0.006) (0.006)
ICD code Yes Yes Yes Yes Yes Yes
Time fixed effect Yes Yes Yes Yes Yes Yes
N 237,521 236,723 237,101 236,685 235,568 235,946
R-squared 0.357 0.155 0.335 0.378 0.243 0.322
  1. The dependent variable for all expenditures is in logarithmic form. The estimates presented here were obtained from six difference-in-differences models, and regression coefficients are reported as elasticity and interactions as marginal effects. The significance levels are as follows: *p < 0.1 and ***p < 0.01. Finally, the numbers in parentheses represent robust standard errors