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. 2020 Aug 24;20:774. doi: 10.1186/s12913-020-05414-z

Table 9.

Results of quantile regression procedure Public health expenditure

Variable OLS Quantiles
15th 25th 35th 45th 55th 65th 75th 85th 95th
lnIND 0.022 (0141) −0.208* (0.111) −0.136 (0.128) 0.319* (0.141) 0.0476 (0.8262) 0.053 (0.561) 0.591*** (0.025) 0.049** (0.212) 0.476** (0.189) 0.427*** (0.072)
lnPOP 0.110*** (0.262) 0.273*** (0.484) 0.277*** (0.562) 0.488*** (0.086) 0.0919* (0.5937) 0.113** (0.413) 0.118*** (0.029) 0.104 (0.046) 0.5842 (0.462 0.560* (0.294)
lnGDP 1.237*** (0.190) 1.395*** (0.632) 1.337*** (0.793) 1.233*** (0.911) 1.199*** (0.0538) 0.113*** (0.037) 1.219*** (0.038) 1.261*** (0.039) 1.264*** (0.037) 1.229*** (0.033)
lnAGRI −0.201** (0.243) 0.975* (0.574) − 0.171** (0.773) 0.199* (0.113) 0.2293* (0.9871) −0.285*** (0.071) − 0.29*** (0.146) 0.276*** (0.428) − 0.27*** (0.042) − 0.18*** (0.254)
lnTEC 0.3423*** (0.115) 0.0775* (0.277) 0.001 (0.177) 0.004 (0.0213) 0.0387 (0.115) 0.0502*** (0.011) 0.064*** (0.442) 0.0824*** (0.150) 0.1.01*** (0.013) 0.095*** (0.123)
R2 0.953 0.807 0.804 0.793 0.792 0.794 0.792 0.791 0.789 0.787
Durbin-Watson stat 2.016959

Standard deviations are in parenthesis. ***, **, *represents 1, 5 and10% significance level