2018
DOI: 10.16929/ajas/403.222
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Determinants of Desired and Actual Number of Children and the Risk of having more than Two Children in Ghana and Nigeria

Abstract: This paper investigates the levels and determinants of desired and actual number of children, and the risk of having more than two children in Ghana and Nigeria using 2013 and 2014 Demographic Health Survey (DHS) conducted in the two countries, respectively. The question is whether the rate of childbearing in sub-Saharan African countries can be slowed down by changes in fertility demand-driven factors such as economic, socio-cultural and family planning programs. Our analysis results showed that these two cou… Show more

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Cited by 11 publications
(24 citation statements)
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References 28 publications
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“…Also, the preferences of mothers with either only sons or only daughters differ greatly from those with mixed-gender offspring. This result is consistent with those of several studies showing that gender preference affects fertility (Hand and Kohler, 2000; Yaya and Osanyintupin, 2008;and Etoh and Ekanem, 2016). Gender preferences for children affect fertility because of higher levels of investment by parents and non-economic values, such as maintaining family lines (Schultz, 1997).…”
Section: Resultssupporting
confidence: 91%
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“…Also, the preferences of mothers with either only sons or only daughters differ greatly from those with mixed-gender offspring. This result is consistent with those of several studies showing that gender preference affects fertility (Hand and Kohler, 2000; Yaya and Osanyintupin, 2008;and Etoh and Ekanem, 2016). Gender preferences for children affect fertility because of higher levels of investment by parents and non-economic values, such as maintaining family lines (Schultz, 1997).…”
Section: Resultssupporting
confidence: 91%
“…The results of similar studies also reveal that education influences the desire for children (Wicaksono and Mahendra, 2016;Oktriyanto, Puspitawati and Muflikhati, 2015;and Bagheri and Saadati, 2017). Finally, the type of residence and working status of the mother also affected the number of children desired (Yaya and Osanyintupin, 2008;Kalwij, 2018).…”
Section: Resultsmentioning
confidence: 99%
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“…Details of how each of these variables were coded can be found in Table 2 . Based on the findings of previous studies [ 2 , 12 , 21 – 26 ], we hypothesized that older women would be less likely to desire for more children compared to younger women; women with higher levels of education would be less likely to desire for more children compared to those with no formal education; women whose partners have higher levels of education would have lower odds of desiring for more children compared to those whose partners have no formal education. Other hypotheses that guided the analysis and results of the study were that the odds of desire for more children would decrease with increasing parity, wealth quintile, higher number of living children, contraceptive use and exposure to media.…”
Section: Methodsmentioning
confidence: 99%
“…Majority of studies on fertility desire over the world have adopted a country-specific focus, paying attention to Nigeria [ 23 ], Iran [ 24 ], Nepal [ 25 ], and Uganda [ 2 ], with a few focusing on broader geographical areas such as East Africa [ 26 ], and Nigeria and Ghana [ 12 ]. Despite this extensive research, there is a relative paucity of literature on the fertility desires in SSA, as most countries in SSA are yet to feature in studies of this kind.…”
Section: Introductionmentioning
confidence: 99%