Deciphering disparities in childhood stunting in an underdeveloped state of India: an investigation applying the unconditional quantile regression method

Table 8 Oaxaca Blinder decomposition of HAZ scores of NFHS 3 and NFHS 4 in Bihar

		10		25		50		75		90
NFHS 2 HAZ score		−4.041***		−3.016***		−1.975***		−0.843***		0.166**
NFHS 3 HAZ score		− 3.593***		−2.654***		−1.664***		−0.463		0.699***
Observed Raw gap in HAZ scores		−0.448***		−0.361***		−0.311***		−0.380***		−0.533***
Covariate effect		−0.206		0.061		0.168		0.261		0.026
(% contribution)		45.9		−17.0		−53.9		−68.7***		−4.9
Coefficient Effect		−0.243		−0.423**		−0.479***		−0.642		−0.559**
(%contribution)		54.1		117.0		153.9		168.7		104.9
	Covariate effect					Coefficient effect
	10	25	50	75	90	10	25	50	75	90
Aggregate effect	−0.206	0.061	0.168	0.266	0.029	−0.243	− 0.423**	− 0.479***	− 0.646***	−0.562
Child Characteristics	0.424	0.220	−0.412	1.088***	0.940**	0.429*	0.849***	3.344***	0.650**	1.349***
(%)	140.5	−21.2	16.1	25.4	107.5	2873.0	256.0	247.2	−52.1	−449.1
Mother’s Characteristics	0.456*	−0.463	−1.319	1.041***	−0.160	6.123***	−2.277	−18.339***	10.574***	2.242
(%)	151.2	44.6	51.5	24.3	−18.3	41,039.2	−687.0	− 1355.7	− 847.8	− 746.3
Household’s Characteristics	−0.582	− 0.789	− 0.849	2.145***	− 0.200	− 0.935***	−0.958**	−1.711*	0.733*	−0.016
(%)	−192.9	76.1	33.2	50.1	−22.9	− 6268.0	− 289.0	−126.5	−58.7	5.3
Spatial Characteristics	0.004	−0.005	0.020	0.008	0.014	0.076	−0.246	0.906**	0.163	0.816***
(%)	1.2	0.5	−0.8	0.2	1.6	510.8	−74.3	66.9	−13.1	−271.5
Constant						−5.678**	2.965	17.154**	−13.367***	−4.692
Residuals	−0.507	1.099	2.728	−4.015	−0.846	− 0.258	−0.754	−1.831	0.601	−0.262
Total	0.302	−1.037	−2.560	4.281***	0.874	0.015	0.332	1.353	−1.247***	−0.300

***p < 0.001; **p < 0.01; *p < 0.05; Source: Computed by the authors from unit-level data of NFHS 3 and NFHS 4

ISSN: 1471-2458