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. 2024 Sep 6;39(10):1074–1086. doi: 10.1093/heapol/czae086

Table 4.

AME of resource availability across all public health facilities on pharmacy practices using alternate regression models

(1) (2) (3) (4) (5)
Customers advised on medicine use Customers given injections Customers administered IV fluids Branded medicine share Branded generics share
Rural
Panel A: Tobit
Availability of workers 0.084 −0.198*** −0.052 −0.000 0.001***
(0.233) (0.059) (0.083) (0.001) (0.000)
Availability of medicines −0.048 −0.209*** −0.137*** −0.000 0.000*
(0.083) (0.053) (0.051) (0.001) (0.000)
383 383 383 383 383
Panel B: Poisson or Fractional regression
Availability of workers −0.013 −0.193 0.016 0.000 0.001***
(0.385) (0.149) (0.151) (0.001) (0.000)
Availability of medicines 0.066 −0.099 −0.043 −0.000 0.001
(0.080) (0.094) (0.045) (0.001) (0.000)
Observations 383 383 383 383 383
Urban
Panel C: Tobit
Availability of workers −1.015* 0.168*** 0.012*** 0.003 0.000
(0.553) (0.047) (0.000) (0.003) (0.001)
Availability of medicines −0.135 0.037 0.014*** −0.001 0.001
(0.178) (0.023) (0.000) (0.002) (0.001)
166 166 166 166 166
Panel D: Poisson or Fractional regression or Poisson
Availability of workers −1.138** 0.201 0.013 0.003 0.000
(0.566) (0.137) (0.012) (0.002) (0.001)
Availability of medicines 0.196 −0.116** 0.009*** −0.001 0.001
(0.223) (0.045) (0.001) (0.002) (0.001)
Observations 166 166 166 166 166

Note(s): All regressions include block fixed effects and controls for pharmacy characteristics such as registration status, hours the store is open in a week, number of employees, number of customers in a week and number of other pharmacies in the 3-km circle around the pharmacy. Robust standard errors in parentheses, clustered at the district level.

***

indicates significance at 1% level.

**

at 5% level.

*

at 10% level.