Page 9 - IJPS-9-2
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International Journal of
            Population Studies                                                 Reproductive transition of Ethiopian youths



            community-level factors such as community literacy   2.2. Variables and measurements
            and level of socioeconomic deprivation were found to be   The main outcome variables of the study are the gender gap
            predictors of union formation and childbearing. In more   in distributions of the reproductive transitions of youths.
            affluent communities and communities with higher levels   The gender gap in these reproductive indicators is assessed
            of education, young people tend to delay sexual activity   using the cumulative incidence functions (CIFs) of these
            and use contraception more consistently. In contrast,   reproductive events over the age of youths. Rather than an
            in communities with lower socioeconomic status and   instantaneous measure of the risk of reproductive transition,
            limited education, young people are more likely to engage   CIF gives the proportion of youths that have ever experienced
            in risky sexual behavior, have higher rates of unintended   an event at any given time (Hinchliffe & Lambert, 2013;
            pregnancies, and are less likely to use contraception.   Latouche et al., 2013). This property of CIF makes it desirable
            Ultimately, community affluence and education can greatly   for the gender gap analysis over the instantaneous measure.
            impact the reproductive behaviors of youth and their   The detailed gender gap decomposition was made for debut
            overall health outcomes (Avogo & Somefun, 2019).   to sex and parenthood experiences at ages 20 and 25. For the
              Holding the perspective that both endowment and   transition to first sex, the timing of first sex either prior or
            structural  effects  are  needed  to  evaluate  mechanisms  of   within marriage was considered.
            closing the gender gap in the timing of the reproductive   Individual and group-level variables (i.e., household
            transition,  both  individual  and  community-level  factors   and community level) are considered predictors in the
            are used. Therefore, our study aims at comparing the   gender gap decomposition analysis. The description of
            reproductive transition experiences of male and female   these variables is available in the standard recode manual
            youths  in  their  life  course  before  age  25.  The  structural   of the Demographic and Health Survey (DHS) (ICF, 2018).
            elements and underlying characteristics differentials   The list of variables, their coding, and descriptions is
            that contributed to the gender disparity have also been   shown in Table 1.
            evaluated using a decomposition analysis framework.
                                                               2.3. Data processing and analysis
            2. Data and methods
                                                               The data management, editing, and analysis were conducted
            2.1. Data source                                   using STATA 17.0 (StataCorp, 2021). First, a sex-  and
                                                               birth cohort-specific cumulative incidence of events
            The data for this study were drawn from the two most   was computed using the command stcompet (Coviello &
            recent Ethiopian Demographic and Health Surveys    Boggess, 2004). The command creates CIF in the presence
            (EDHS), which were conducted in 2011 and 2016. The   of competing risks. For the transition to parenthood,
            EDHS was a large-scale cross-sectional survey conducted   however, the CIF was computed using the complement of
            to offer estimates of key demographic and health variables   the Kaplan–Meier estimate. The inter-cohort differences
            for the nation as a whole, urban, and rural areas separately,   of the cumulative incidence of events were tested using
            and each of the nine regions of Ethiopia and two city   competing risk regression analysis (He et al., 2016). These
            administrations separately. The data were gathered using   comparisons were made for CIFs accounting for intra-class
            a  stratified  two-stage  cluster  sampling  technique. The   correlation for clusters of enumeration areas. First-order
            probability proportional to size technique was used to   interactions between birth cohort and sex were tested and
            select  624  clusters  in  the  2011  and  645  clusters in  the   significant results were retained.
            2016 survey. During stage two selection, a full listing of
            households in the selected clusters was conducted, and   Second, the gender gap in debut to sex and parenthood
            28 households were chosen from the list of households   experiences at age 20 and 25 was tested for the recent
            (CSA [Ethiopia] & ICF International, 2012, 2016). The   birth cohort (1985 – 1989). Where significant, the gap
            investigation was limited to the Oromia Regional National   was decomposed using Blinder Oaxaca decomposition
            State because the region is home to a substantial portion   for logistic regression model. This analysis was carried
            of Ethiopia’s youth population (38.3%), who come from a   out using the user-written oaxaca command. During the
            variety of cultural backgrounds (Ethiopia Statistics Service,   analysis, the command was issued to take into account
            2021; Yates, 2011; 2020). Although both male and female   the survey design (Jann, 2008; Kaiser, 2015; Rahimi &
            data were utilized, the gender gap decomposition analysis   Hashemi Nazari, 2021; Sinning et al., 2008). P-value of 5%
            is focused only on the data drawn from the 2016 EDHS.   was used to declare statistical significance in all analyses
            The data utilized for our study are publicly available at the   including the decomposition analysis.
            following web address (http://www.measuredhs.com/data/  The Blinder-Oaxaca decomposition technique splits
            available-datasets.cfm) and can be accessed free-of-charge.  the overall gender gap into two parts. The first component


            Volume 9 Issue 2 (2023)                         3                          https://doi.org/10.36922/ijps.476
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