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Table 4 DID estimation on per capita annual medical expenditure

From: Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: a quasi-experimental evaluation study from rural China

Outcome variable (y)

Baseline (1673 vs. 1673)

Follow-up (1673 vs. 1673)

Control

\( \left({\widehat{\upbeta}}_0\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+\widehat{\gamma}\right) \)

Diff (BL) \( \left(\widehat{\gamma}\right) \)

Control

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1+\widehat{\gamma}+\widehat{\updelta}\right) \)

Diff (FU)

\( \left({\widehat{\gamma}}_0+\widehat{\updelta}\right) \)

DIFF-IN-DIFF

\( \left(\widehat{\updelta}\right) \)

Outpatient

269.2

255.4

−13.8

263.8

331.2

67.4

81.2

P

  

0.452

  

0.095

0.048

Inpatient

818.1

1167.6

349.5

910.9

785.0

−125.9

−475.4

P

  

0.009

  

0.003

0.027

Total

1087.3

1423.0

335.7

1174.7

1116.2

−58.5

−394.2

P

  

0.015

  

0.043

0.013