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



               https://doi.org/10.12669/pjms.324.9987          Chao, F., Guilmoto, C.Z., Samir, K.C., & Hernando, O. (2020).
                                                                  Probabilistic projection of the sex ratio at birth and missing
            Attané, I., & Guilmoto, C.Z. (2007). Watering the Neighbour’s
               Garden: The Growing Demographic Female Deficit in Asia.   female births by State and Union Territory in India. PLoS
               Paris: Committee for International Cooperation in National   One, 15(8):e0236673.
               Research in Demography.                            https://doi.org/10.1371/journal.pone.0236673
            Bearak,  J.,  Popinchalk,  A.,  Alkema,  L.,  &  Sedgh,  G.  (2018).   Chao, F., Samir, K.C., & Ombao, H. (2022). Estimation and
               Global, regional, and subregional trends in unintended   probabilistic projection of levels and trends in the sex ratio
               pregnancy and its outcomes from 1990 to 2014: Estimates   at birth in seven provinces of Nepal from 1980 to 2050:
               from  a Bayesian hierarchical  model.  The Lancet Global   A Bayesian modeling approach. BMC Public Health, 22(1):
               Health, 6(4):e380-e389.                            1-5.
               https://doi.org/10.1016/S2214-109X(18)30029-9      https://doi.org/10.1186/s12889-022-12693-0
            Brown, C.E. (1998). Coefficient of variation. In: Applied   Chao, F., You, D., Pedersen, J., Hug, L., & Alkema, L. (2018a).
               Multivariate Statistics in Geohydrology and Related   National and regional under-5 mortality rate by economic
               Sciences. Berlin, Heidelberg: Springer, p. 155-157.  status for low-income and middle-income countries:
            Chao F, Guilmoto CZ & Ombao H. (2021c). Sex ratio at birth in   A  systematic assessment.  The Lancet Global Health,
               Vietnam among six subnational regions during 1980-2050,   6(5):e535-e547.
               estimation and probabilistic projection using a Bayesian      https://doi.org/10.1016/S2214-109X(18)30059-7
               hierarchical time series model with 2.9 million birth records.
               PLoS One, 16(7):e0253721.                       Chao, F., You, D., Pedersen, J., Hug, L., & Alkema, L. (2018b).
                                                                  National and regional under-5 mortality rate by economic
               https://doi.org/10.1371/journal.pone.0253721       status for low-income and middle-income countries:
            Chao, F., & Yadav, AK. (2019). Levels and trends in the sex ratio   A  systematic assessment.  The Lancet Global Health,
               at birth and missing female births for 29 states and union   6:e535-e547.
               territories in India 1990-2016: A Bayesian modeling study.      https://doi.org/10.6084/m9.figshare.12442244
               Foundations of Data Science, 1(2):177-196.
                                                               De Tray, D. (1984). Son preference in Pakistan: An analysis of
                https://doi.org/10.3934/fods.2019008              intentions vs. behavior. Research in Population Economics,
            Chao, F., Gerland, P., Cook, A.R., & Alkema, L. (2019a). Systematic   5:185-200.
               assessment of the sex ratio at birth for all countries and   Dréze, J., & Sen, A. (1990). Hunger and Public Action. Oxford:
               estimation of national imbalances and regional reference   Oxford University Press.
               levels.  Proceedings of the National Academy of Sciences,
               116(19):9303-9311.                              Duthé, G., Meslé, F., Vallin, J., Badurashvili, I., & Kuyumjyan, K.
                                                                  (2012). High sex ratios at birth in the Caucasus: Modern
               https://doi.org/10.1073/pnas.1812593116            technology to satisfy old desires. Population and Development
            Chao, F., Gerland, P., Cook, A.R., & Alkema, L. (2019b). “Web   Review, 38(3):487-501.
               appendix systematic assessment of the sex ratio at birth      https://doi.org/10.1111/j.1728-4457.2012.00513.x
               for all countries and estimation of national imbalances
               and regional reference levels.  Proceedings of the National   Efron, B., & Gong, G. (1983). A leisurely look at the bootstrap, the
               Academy of Sciences, 116:9303-9311.                jackknife, and cross-validation.  The American Statistician,
                                                                  37(1):36-48.
                https://doi.org/10.6084/m9.figshare.12442373
                                                                  https://doi.org/10.2307/2685844
            Chao, F., Gerland, P., Cook, A.R., & Alkema, L. (2021a). Global
               estimation  and  scenario-based  projections  of  sex  ratio  at   Efron, B., & Tibshirani, RJ. (1944). An Introduction to the
               birth and missing female births using a Bayesian hierarchical   Bootstrap. Abingdon: Chapman and Hall/CRC.
               time series mixture model.  Annals of Applied Statistics,   Feeney, G., & Alam, I. (1998). Fertility, population growth, and
               15(3):1499-1528.                                   accuracy of census enumeration in Pakistan: 1961-1998.
               https://doi.org/10.1214/20-AOAS1436                In: A Kemal, M Irfan and N. Mahmood (eds.). Population
                                                                  of Pakistan: An Analysis of 1998 Population and Housing
            Chao, F., Gerland, P., Cook, A.R., Guilmoto, C.Z.,  Alkema,  L.   Census.  Islamabad:  Pakistan  Institute  of  Development
               (2021b). Projecting sex imbalances at birth at global,   Economics (PIDE) and UNFPA.
               regional and national levels from 2021 to 2100: Scenario-
               based Bayesian probabilistic projections of the sex ratio at   Ge, T., Mei, L., Tai, X., & Jiang, Q. (2020). Change in China’s SRB:
               birth and missing female births based on 3.26 billion birth   A dynamic spatial panel approach. International Journal of
               records. BMJ Global Health, 6(8):e005516.          Environmental Research and Public Health, 17(21):8018.
               https://doi.org/10.1136/bmjgh-2021-005516          https://doi.org/10.3390/ijerph17218018


            Volume 8 Issue 2 (2022)                         63                     https://doi.org/10.36922/ijps.v8i2.332
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