Research Article

Evaluation of Caesarean Expenditures of Households in Benin

Table 3

Results of linear regression and the quantile regression models.

VariablesMultiple linear regressionQuantile regression models
Coefficientsq = 0.10q = 0.25q = 0.50q = 0.75q = 0.90

Constant150.446 (18.221)141.473 (21.785)121.242 (19.023)148.172 (19.003)145.899 (24.833)152.937 (35.0079)
Age of woman−0.063 (0.353)−0.645 (0.422)0.083 (0.369)0.355 (0.368)0.029 (0.481)−0.935 (0.6786)
Education level of women (reference category: illiterate)−6.752 (1.625)−6.908 (1.943)−7.813 (1.697)−8.067 (1.695)−4.062 (2.215)−0.783 (3.1221)
Working status of women (reference category: unemployed)43.973 (4.692)22.394 (5.610)40.127 (4.899)59.741 (4.894)50.763 (6.395)49.952 (9.0156)
Household region of residence (reference category: outside Littoral)−12.162 (4.011)−14.290 (4.796)−13.639 (4.188)−16.507 (4.183)−12.605 (5.467)−9.751 (7.7065)
Pregnancy follow-up (reference category: no)1.572 (6.429)6.718 (7.686)0.535 (6.712)−4.370 (6.705)4.296 (8.762)9.253 (12.3513)
Hospital type (reference category: private)−4.813 (7.021)−4.012 (8.394)5.605 (7.330)−10.122 (7.322)−1.418 (9.569)−4.599 (13.4892)
State of referral (reference category: yes−12.702 (7.266)−16.497 (8.687)−11.049 (7.586)−1.975 (7.578)−7.387 (9.903)−13.133 (13.9596)
Length of stay in hospital0.850 (2.652)2.930 (3.171)0.412 (2.769)−3.072 (2.766)3.214 (3.615)8.195 (5.0957)
Indication for caesarean section (reference category: urgent)1.399 (4.810)−0.177 (5.751)0.065 (5.022)−0.768 (5.016)0.816 (6.555)7.402 (9.2409)
Presence of complications (reference category: at least one)−15.993 (6.929)−4.651 (8.284)−2.020 (7.234)−12.411 (7.227)−19.898 (9.444)−11.209 (13.3128)
Use of health insurance (reference category: no)26.592 (9.258)33.941 (11.067)33.517 (9.666)18.654 (9.656)23.079 (12.619)30.463 (17.7887)
Socioeconomic class (reference category: very poor)15.935 (2.364)6.038∗ (2.826)12.210 (2.468)13.536 (2.466)17.575 (3.222)22.140 (4.5419)
R 20.332
Pseudo-R20.0950.1820.2140.2480.253

; . Standard errors are reported in the parentheses. R2: Refers to the part (%) of the variation in the dependent variable that can be explained by the explanatory variables for the Linear Regression Model. Pseudo R2: Refers to the part (%) of the variation in the dependent variable that can be explained in different quantiles by the explanatory variables.