Page 60 - IJPS-8-2
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International Journal of
            Population Studies                                                    Projecting sex ratio at birth in Pakistan



            in the modeling. As of now, no evidence of biased sampling   of variability given the observation value (Brown, 1998).
            has been reported for any of these data sources. With their   On the provincial level, the SRB observations have a wider
            own objectives of the survey, these data sources provide a   range with greater uncertainties because of smaller sample
            wealth of information, and there is no supporting evidence   sizes. The smallest provincial SRB observation for DHS
            to choose one at the cost of the others. Hence, we use all   2012 – 2013 is 0.917 in Islamabad (ICT) in year 2002 and
            these sources in our model estimation and projection.  the biggest value is 1.416 in Balochistan in year 1989. The
                                                               average sampling error of all the provincial observations
              Figure  1  illustrates  the  large  uncertainty  in  SRB   for DHS 2012 – 2013 is 0.087, corresponding to 8% of CV.
            observations on national and provincial levels. It shows   Similarly, for Pakistan DHS 2017 – 2018, the observed
            the observed SRB from Pakistan 2012 to 2013 and 2017   SRB on national and provincial levels ranges from 0.914
            to 2018 DHSs on the national and provincial levels. In the   to 1.178 and from 0.891 to 1.272, respectively. The average
            data series Pakistan DHS 2012 – 2013, the national SRB   sampling errors are 0.087 and 0.139 for national and
            observations range from 0.935 in the year 1989 to 1.195   provincial data, respectively.
            in the year 2003. The average sampling error associated
            with these observations is 0.073, equivalent to 7% of the   2.2. Methods
            coefficient of variation (CV; refers to the ratio of sampling   The model performance and predictive power were assessed
            error to the value of observations, indicating the extent   by an out-of-sample validation exercise (leaving out recent

                         A






















                         B























            Figure 1. SRB data in (A) 2012 – 2013 and (B) 2017 – 2018 DHS on national and provincial levels
            Note: The SRB observations (dots) from the same area (province or the whole of Pakistan) are connected with line segments of the same color. Shaded areas
            around the observation series represent the sampling errors in the series (quantified by twice the sampling standard errors).

            Volume 8 Issue 2 (2022)                         54                     https://doi.org/10.36922/ijps.v8i2.332
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