Skip to main content
. Author manuscript; available in PMC: 2009 Jun 2.
Published in final edited form as: Health Econ. 2009 Jun;18(6):727–742. doi: 10.1002/hec.1473

Table VI.

OLS log linear regression of antimalarial tablet prices for shopsa

Model 1
Model 2
n 154; F<0.0001; R2 0.9024
n 154; F<0.0001; R2 0.9035
Explanatory variables Coefficient Standard error p Value Coefficient Standard error p Value
HHI volume 0.947 0.320 0.005*
HHI value 1.028 0.299 0.001*
Amodiaquine 1.698 0.132 <0.001* 1.690 0.134 <0.001*
Quinine 3.490 0.151 <0.001* 3.454 0.152 <0.001*
SP 1.886 0.117 <0.001* 1.883 0.117 <0.001*
Packaged 0.451 0.104 <0.001* 0.423 0.104 <0.001*
Other_Africa 0.187 0.116 0.114 0.158 0.114 0.175
Asia 0.071 0.157 0.654 0.064 0.157 0.685
Europe 0.040 0.162 0.804 0.082 0.160 0.610
Innovator 0.588 0.198 0.005* 0.555 0.193 0.006*
Branded_generic 0.163 0.121 0.183 0.145 0.117 0.218
Ulanga 0.237 0.148 0.117 0.298 0.186 0.116
Rufiji 0.172 0.098 0.084 0.137 0.097 0.164
General_store 0.327 0.121 0.010* 0.314 0.122 0.013*
Rural_area 0.114 0.105 0.284 0.081 0.095 0.401
Constant 2.707 0.161 <0.001* 2.683 0.158 <0.001*

Five observations were dropped because of missing data on country of manufacture or tablet size. Source: Outlet Survey Nov Dec 2001.

a

Each observation is an antimalarial drug. As the HHI was measured at the sub market level, the strata were defined as the sub markets, and tested with an F test of (14, 34).

*

Coefficient significant at 5% level.