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International Journal of
            Population Studies                                                    Projecting sex ratio at birth in Pakistan



              Estimating the SRB in Pakistan is challenging for two   of birth records involved in the study is more than what we
            reasons. First, limited data are available on birth histories   reported here. The SRB observations were generated from
            in the past. Without a fully developed vital registration   the individual birth records in data sources with full birth
            system in Pakistan, administrative birth records are   histories (appendix for details of the data processing steps).
            lacking, and vital events are mostly estimated based on   The database is available as Supplementary File 1 (https://
            household surveys. Only a few sample surveys provided   doi.org/10.6084/m9.figshare.21548082).
            birth histories over different periods since the 1990s.   The DHS (ICF International, 2022) and Multiple
            Second, the data quality of census counts is typically   Indicator Cluster Survey (MICS) provide the birth histories
            low because of age heaping (Feeney & Alam, 1998). In   (either the full birth histories or the birth histories during
            historical census data, the number of children ever born   the past 24 months before the survey interview) of women
            in Pakistan is either unavailable or is unreliably reported.   interviewed in retrospective survey questionnaires. Birth
            For example, birth histories were not collected in the   records are excluded if they were born more than 20 years
            1981 Pakistan census (Ali et al., 2001). Accordingly, the   prior to the year in which surveys were conducted to
            individual-level  data  of  the  three  most  recent  censuses   minimize recall bias from older women. Furthermore, the
            in Pakistan (conducted in 1981, 1998, and 2017) contain   Pakistan Social and Living Standards Measurement Survey
            only the populations of boys and girls under 1 year old.   (PSLM) is a provincial-level survey with high coverage
            The SRB data from sample surveys such as Pakistan DHS   of households in Pakistan (Pakistan Bureau of Statistics
            are suffering from large uncertainties because of the small   [PBS], 2019). The PSLM records births over the 12 months
            sample sizes and misreporting of female births.
                                                               before the date of the survey interview. The census is
              When estimating and projecting the provincial SRB in   conducted once per decade and collects births in the
            Pakistan, it is crucial to assess the levels and trends in the   12  months preceding the census (Minnesota Population
            SRB by a reproducible statistical model. Using a Bayesian   Center, 2019).
            modeling approach for estimation and projection,
            observations from different data sources with varying levels   Given Pakistan’s lack of reliable administrative birth
            of uncertainties can be synthesized and pooled together in a   data, it is essential to include all available data from
            systematic and reproducible fashion. The Bayesian method   different surveys to produce more reliable estimates and
            can take into account both provincial SRB  observations   projections. The practice of making use of data from
            and external information on the SRB imbalance process to   multiple data sources in estimation and projection has
            assist in model estimation and projection.         been widely used by international agencies, including the
                                                               UNICEF, UN Population Division, and the Global Burden
            2. Data and methods                                of Disease, and researchers in global and public health to
                                                               reduce systematic bias from a single data source, to increase
            2.1. Data sources                                  the length of the period that is covered by data (Alkema
            Table 1 summarizes our database of provincial SRBs   et al., 2016; Bearak et al., 2018; Gerland et al., 2014; Liu &
            in Pakistan, with 531 SRB observations available in   Raftery, 2020; Masquelier et al., 2018; Wang et al., 2020; You
            eight provinces of Pakistan. The reference years of these   et al., 2015). The data sources, we used as listed in Table 1,
            observations range from 1965 to 2019. The database   are based on provincial representative samples. If any
            contains 832,091 birth records by summing up the number   future in-depth survey-specific consistency checks provide
            of birth records where available. The number of birth records   concrete evidence of bias in the examples of certain data
            is unknown in some data series. Hence, the actual number   sources, that particular data source should not be included

            Table 1. Pakistan provincial SRB database

             Survey   Sample design                        Survey year                # SRB observations  # Births
             name                                                                                     records
            Census  Census enumeration                    1973, 1981, 1998                  15        424,739
            DHS    Two-stage stratified sample design  1990 – 1991, 2006 – 2007, 2012 – 2013, 2017 – 2018, 2019  301  253,580
            MICS   Two-stage stratified sample design 2010, 2011, 2014, 2003 – 2004, 2007 – 2008, 2016 – 2017, 2017 – 2018  37  153,772 †
            PSLM   Two-stage stratified sample design 1995 – 2016, 2005 – 2006, 2007 – 2008, 2013 – 2014, 2018 – 2019  228  –
            Total                                                                          531        832,091*
            Note: DHS: Demographic and Health Survey; MICS: Multiple Indicator Cluster Survey; PSLM: Pakistan Social and Living Standards Measurement Survey.
            † : Number of birth records available only in MICS 2017 – 2018; –: The number of birth records is unavailable; *: The total number of births obtained by
            summing the available number of birth records in the 20 years before the survey conducted.

            Volume 8 Issue 2 (2022)                         53                     https://doi.org/10.36922/ijps.v8i2.332
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