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Table 3 Maximum likelihood estimates of the stochastic production frontier function of performances in combating COVID-19 of different states of India (Dependent variable: LRR (Log of Recovery Rate) No of Observations: 20)

From: Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states

Variables

Coefficients

S.E

t-ratio

Constant

β0

0.109

0.093

1.165

ln (DOCTOR)(x1)

β1

0.151a

0.046

3.270

ln (NURSE)(x2)

β2

0.198c

0.113

1.754

ln (Police)(x3)

β3

0.082c

0.050

1.656

ln (Isolation beds)(x4)

β4

0.127a

0.048

2.624

ln (Quarantine)(x5)

β5

0.007

0.026

0.288

ln (ICU beds)(x6)

β6

0.273b

0.136

2.003

ln (Ventilators)(x7)

β7

−0.400a

0.080

−4.992

ln (Labs)(x8)

β8

3.410b

1.366

2.496

ln (Tested)(x9)

β9

−0.343b

0.166

− 2.074

ln (Elderly)(z1)

δ1

0.952a

0.302

3.150

ln (SR)(z2)

δ2

1.018a

0.388

2.621

ln (LR)(z3)

δ3

−3.078a

0.955

−3.223

ln (Urban)(z4)

δ4

−1.689b

0.825

− 2.048

ln (Sleep) (z5)

δ5

0.050

0.997

0.050

ln (Diabetes) (z6)

δ6

2.526a

0.703

3.591

ln (Heart) (z7)

δ7

1.829b

0.885

2.067

ln (Population density) (z8)

δ8

1.212b

0.589

2.059

ln (PCNSDP) (z9)

δ9

−0.668b

0.267

−2.506

ln (Employment) (z10)

δ10

1.610a

0.503

3.201

ln (Digitalisation) (z11)

δ11

−0.561

0.375

− 1.497

\( {\hat{\sigma}}_s^2 \)

1.689b

0.825

2.048

γ

0.265c

0.149

1.783

μ

0.920a

0.073

12.672

Log (likelihood)

−6.469

LR test

16.445

Prob > χ2= 0.004

  1. Source: Authors’ own calculation based on secondary data
  2. asignificant at 1% level
  3. bsignificant at 5% level
  4. csignificant at 10% level