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Global Health Economics and
            Sustainability
                                                                                  Maternal health-care service utilization



            Table 5. BODM results
            Summary of                  ANC4+                       SBA                       PNC
            decomposition results  1998 –   2005 –   2015 –   2019 –   1998 –   2005 –   2015 –   2019 –   1998 –   2005 –   2015 –   2019 –
                               1999  2006   2016   2021  1999   2006   2016  2021   1999   2006  2016   2021
            High group (mean)  0.667  0.509  0.776  0.718  0.669  0.519  0.97  0.971  0.636  0.5  0.897  0.786
            Low group (mean)   0.082  0.481  0.691  0.672  0.073  0.467  0.903  0.951  0.000  0.2  0.811  0.78
            Raw differential   0.585  0.028  0.085  0.046  0.596  0.052  0.067  0.02  0.636  0.3  0.086  0.006
            Endowment effects  0.175  −0.168  0.067  0.034  0.291  0.022  0.047  0.012  0.000  −0.175  0.045  0.024
            Coefficient effects  0.27  0.095  0.004  0.017  0.098  0.197  0.038  0.008  0.302  0.323  0.045  0.005
            Interaction effects  0.139  0.100  0.014  −0.005  0.207  −0.167  −0.018  0  0.335  0.152  −0.004  −0.023
            Oaxaca (1973) and Blinder (1973) D = 0
             Unexplained difference  0.409  0.195  0.018  0.012  0.31  0.03  0.02  0.008  0.636  0.475  0.041  −0.018
             Explained difference  0.175  −0.168  0.067  0.034  0.29  0.022  0.047  0.012  0.000  −0.175  0.045  0.024
             % Unexplained     70.00  707.600  20.8  26.4  51.2  57.9  29.8   40.1   100   158.3  48    −297.1
             % Explained       30.00  −607.6  79.2  73.6  48.8   42.1  70.2   59.9    0    −58.3  52    397.1
            Oaxaca (1973) and Blinder (1973) D = 1
             Unexplained difference  0.270  0.095  0.004  0.017  0.10  0.197  0.038  0.008  0.302  0.323  0.045  0.005
             Explained difference  0.315  −0.067  0.081  0.029  0.50  −0.145  0.029  0.012  0.335  −0.023  0.041  0.001
             % Unexplained     46.10  344    4.8   37.4   16.5   380   56.6   42     47.4  107.6  52.4   76.6
             % Explained       53.90  −244  95.2   62.6   83.5  −280   43.4   58     52.6  −7.6   47.6   23.4
            Reimers (1983) D = 0.5
             Unexplained difference  0.340  0.145  0.011  0.015  0.202  0.114  0.029  0.008  0.469  0.399  0.043  −0.007
             Explained difference  0.245  −0.118  0.074  0.031  0.395  −0.062  0.038  0.012  0.167  −0.099  0.043  0.013
             % Unexplained     58.10  525.8  12.8  31.9   33.8   219   43.2   41.1   73.7  133    50.2  −110.2
             % Explained       41.90  −425.8  87.2  68.1  66.2  −119   56.8   58.9   26.3  −33    49.8  210.2
            Cotton (1988) D = Sample proportions
             Unexplained difference  0.391  0.109  0.011  0.014  0.278  0.054  0.028  0.008  0.546  0.347  0.043  −0.006
             Explained difference  0.194  −0.081  0.073  0.032  0.318  −0.002  0.039  0.012  0.09  −0.047  0.043  0.012
             % Unexplained     66.90  395.1  13.3  31.4   46.7  103.2  42.3   41     85.8  115.8  50    −100.4
             % Explained       33.10  −295.1  86.7  68.6  53.3  −3.2   57.7   59     14.2  −15.8  50    200.4
            Neumark (1988) D = Pooled
             Unexplained difference  0.103  0.097  0.011  0.013  0.064  0.048  0.021  0.007  0.119  0.326  0.034  −0.006
             Explained difference  0.482  −0.07  0.074  0.033  0.532  0.004  0.046  0.013  0.517  −0.026  0.052  0.012
             % Unexplained     17.60  352.5  12.5  27.3   10.8   91.7  30.8   37     18.8  108.7  39.7   −99
             % Explained       82.40  −252.5  87.5  72.7  89.2   8.3   69.2   63     81.2  −8.7   60.3   199
            Abbreviations: ANC4+: Antenatal care; BODM: Blinder–Oaxaca decomposition method; PNC: Postnatal care; SBA: Skilled birth assistance.

            (Bango & Ghosh, 2022). Women living  in Uttarakhand,   these inequalities, supporting targeted interventions. This
            Rajasthan, Uttar Pradesh, Bihar, Jharkhand, and Madhya   method considers structural gaps and allows a comparative
            Pradesh were less likely to use MHCSs (Yadav  et al.,   analysis  between  the  two groups. Understanding the
            2022). Differences in MHCS utilization across the EAG   explained  and  unexplained  components  aids  policy
            states may be due to state-specific variations in education   evaluation and design, enhancing evidence-based decision-
            levels, women’s autonomy, economic status, and health   making and leading to more effective and inclusive
            infrastructure.                                    maternal health interventions. Furthermore, the results
              This study employed the threefold BODM to examine   of the BODM indicate that inequalities between the poor
            the inequalities between the poorest and richest women.   and rich have been narrowing over the years (Table 5). The
            It  quantifies  and  identifies  the  factors  contributing  to   findings suggest that women’s education, their partners’


            Volume 3 Issue 1 (2025)                         98                       https://doi.org/10.36922/ghes.3324
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