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Table 3 Hausman-Taylor estimation at the cohort level

From: The effect of activity-based financing on hospital length of stay for elderly patients suffering from heart diseases in Norway

 

HT

Age2/1000

0.150*** (0.019)

Female

-0.046 (0.069)

Activity-based component

-0.128*** (0.026)

DRG weight

0.308*** (0.019)

No. of comorbidities

0.068*** (0.014)

Non-elective

0.345*** (0.065)

Angina pectoris1

-0.083 (0.051)

Congestive heart failure

-0.266*** (0.067)

Group123

0.061 (0.068)

Group24

-0.022 (0.057)

Time trend

-0.069*** (0.003)

_cons

137.5*** (5.511)

N

864

Spec. Test56

χ 9 2 = 18.91

  1. Standard errors in parentheses.
  2. *p < 0.05, **p < 0.01, ***p < 0.001.
  3. 1Myocardial infarction is the reference dummy for both angina pectoris and congestive heart failure.
  4. 2Group 1 consists of catchment areas where the intervention center is the only hospital.
  5. 3Group 3 which consists of catchment areas with only local hospitals is the reference dummy for both Group 1 and Group 2.
  6. 4Group 2 consists of catchment areas with both intervention centers and local hospitals.
  7. 5We choose the exogenous variables X1 = (ABF, Group1, Group2, Year), Z1 = (Female) to implement the HT estimator.
  8. 6Hausman’s test based on the difference between the within and HT estimator gives an observed x 9 2 = 18.91 . Compared to the Hausman’s test for fixed and random effects which gives x 10 2 = 89.98 , we can see that HT approach does improve the efficiency in the fixed effects model.