From: Measuring efficiency of public hospitals under the impact of Covid-19: the case of Türkiye
Outpatient | InpatientxCMI | |
---|---|---|
Constant | 6.70 (0.000)*** | − 0.08 (0.725) |
Inputs \(({x}_{j})\) | ||
Physician | 0.54 (0.000)*** | 0.08 (0.600) |
Nurse | 0.88 (0.000)*** | 0.76 (0.005)*** |
OtherMedStaff | 0.61 (0.000)*** | 0.37 (0.109) |
Bed | 1.48 (0.000)*** | |
Quadratic terms \(({{x}_{j}}^{2})\) | ||
Physicianxphysician | − 0.10 (0.043)** | − 0.26 (0.001)*** |
Nursexnurse | − 0.05 (0.653) | − 0.90 (0.001)*** |
OtherMedStaffxotherMedStaff | − 0.27 (0.033)** | − 0.22 (0.262) |
Bedxbed | − 0.07 (0.649) | |
Cross products \((x_j\), \(x_k )\) | ||
Physicianxnurse | − 0.11 (0.071)* | 0.39 (0.001)*** |
PhysicianxotherMedStaff | 0.20 (0.001)*** | − 0.01 (0.872) |
NursexotherMedStaff | 0.01 (0.913) | 0.36 (0.043)** |
Bedxphysician | − 0.13 (0.129) | |
Bedxnurse | 0.14 (0.417) | |
BedxotherMedStaff | − 0.16 (0.214) | |
Year dummies | ||
D2016 | 0.05 (0.004)*** | 0.00 (0.908) |
D2017 | − 0.03 (0.134) | − 0.06 (0.026)** |
D2018 | − 0.02 (0.315) | − 0.10 (0.001)*** |
D2019 | − 0.06 (0.017)** | − 0.15 (0.000)*** |
D2020 | − 0.56 (0.000)*** | − 0.49 (0.000)*** |
D2011 | − 0.37 (0.000)*** | − 0.35 (0.000)*** |
Inefficieny effects | ||
Constant | − 3.05 (0.000)*** | − 1.02 (0.000)*** |
TRH | 1.33 (0.000)*** | − 1.73 (0.000)*** |
CITY | 0.87 (0.001)*** | − 1.86 (0.000)*** |
POP | − 6.43 (0.000)*** | 5.27 (0.000)*** |
RATE | 0.00 (0.994) | 0.04 (0.224) |
D2020 | 0.21 (0.336) | 0.25 (0.083)* |
D2021 | 0.24 (0.441) | 0.69 (0.001)*** |
Log Likelihood | − 734.15 | − 2535.13 |
LR Test | 238*** | 864*** |